Patent Grant
9599990
This invention relates to robot systems, and more particularly to power saving robot systems and robot system networks.
Autonomous robots are robots which can perform desired tasks in unstructured environments without continuous human guidance. Many kinds of robots are autonomous to some degree. Different robots can be autonomous in different ways. An autonomous coverage robot traverses a work surface without continuous human guidance to perform one or more tasks. In the field of home, office and/or consumer-oriented robotics, mobile robots that perform household functions such as vacuum cleaning, floor washing, patrolling, lawn cutting and other such tasks have been widely adopted. Autonomous coverage robot systems that include a coverage robot and peripheral devices are generally battery powered. As a result, the battery life of each component of the system affects the operability of the overall system.
The present disclosure provides a robot which can communicate with a base station and/or internet site via wireless communications media, in one configuration using a wireless bridge adapted for connection directly to a home wired network to provide a direct presence and proxies for the robot, allowing the robot to be a fully functional network node.
In one aspect, a power-saving robot system includes at least one peripheral device to be placed in an environment and a mobile robot. The peripheral device includes a power supply, a wireless communication component, and a controller having an active mode in which the peripheral device is fully operative and a hibernation mode in which the peripheral device is at least partly inactive. The wireless communication component is capable of activation in the hibernation mode. The mobile robot includes a drive system that moves the robot about the environment, a wireless communication component, and a controller. The controller has an activating routine that communicates with the peripheral device via the wireless communication components and temporarily activates the peripheral device from the hibernation mode when the wireless communication components of the peripheral device and the robot come within range of one another.
In one implementation, the wireless communication components communicate with transmission wavelengths that permit the robot and the peripheral device to be outside a line of sight. Conversely, in another implementation, the wireless communication components communicate with transmission wavelengths that require the robot and the peripheral device to be within a line of sight. In one example, the peripheral device is precluded from altering modes from the hibernation mode to the active mode until a line of sight is present between the robot and the peripheral device.
The wireless communication components may communicate with a point-to-point protocol while excluding routing and may communicate commands interpretable by the peripheral device to initiate a function. In one example, the wireless transmission communicated by the robot wireless communication circuit includes identification information. Similarly, the wireless transmission communicated by the peripheral device wireless communication circuit may include identification information as well.
In some implementations, the peripheral device, while in the hibernation mode, occasionally listens for a robot ping. Also, while in the hibernation mode, the peripheral device occasionally polls for a quiet robot. In one example, the peripheral device is a base station. In another example, the peripheral device is a mobile device.
In another implementation, the robot measures a signal strength of a wireless transmission communicated by the wireless communication component of the peripheral device to determine a distance from the peripheral device. In one example, the wireless communication components communicate over a radiofrequency.
In some implementations, the controller of the robot determines a locality of the robot based on information received via the wireless communication component of the robot from a peripheral device, such as a beacon, located in an area in which the robot is operating. The peripheral device is configured to transmit radio-frequency identification information. For example, each locality within a robot environment may respectively include a beacon configured to wirelessly emit respective location information (e.g. in an environment corresponding to a house, each “locality” may represent a room, and each room may be installed with a beacon broadcasting a unique identification over radio-frequency or other such medium). A base station may be provided in at least one locality, and the beacon may be configured to communicate with the base station and to relay data therefrom and/or thereto. It is advantageous for such beacons and base stations to save electrical power. The beacon may emerge from a low-power “hibernation” intermittently by listening for RF or IR of the robot, by operating a wake-up timer, by being actively RF or IR interrogated by the robot, or any permutation of combinations thereof based on time elapsed since a last event or number or frequency or character of interactions. Furthermore, the robot may activate a peripheral device according to a schedule or transmit schedule information to the peripheral device, which activates itself based on the schedule.
In another aspect, a robot system includes a network data bridge and a mobile robot. The network data bridge includes a broadband network interface, a wireless command interface, and a data bridge component. The broadband network interface is connectible to an internet protocol network and carries communications transferred in compliance with an internet protocol. The wireless command interface is connectible to a wireless command protocol network and carries communications transferred under a command protocol. The data bridge component extracts serial commands received via the broadband network interface from the internet protocol and applies the command protocol thereto. The data bridge component listens to the narrowband wireless interface and sends a robot, peripheral, network and system state to the Internet via the broadband network interface. This information is automatically sent to a monitoring service via internet protocols, where long-term monitoring and analysis takes place. Actions/commands resulting from this analysis are injected into the narrowband wireless network by the RF-bridge. These actions can include serial commands, new software images for robot and/or peripheral, or queries for more in-depth (debugging) information that can be interpreted and responded to by the robot. The data bridge component also broadcasts the serial commands via the narrowband wireless interface. The mobile robot includes a drive system that moves the robot about an environment and a wireless command communication component that receives the serial commands transmitted from the network data bridge.
In some implementations, the system also includes at least one peripheral device to be placed in the environment. The peripheral device includes a wireless command communication component that receives serial commands transmitted from the robot and the network data bridge. The peripheral device also includes a controller having an active mode wherein the peripheral device is fully operative and a hibernation mode wherein the peripheral device is at least partly inactive. The wireless communication circuit is capable of activation in the hibernation mode.
In another aspect, the robot can receive and utilize customizable sounds or other audio content for interacting with a user. The robot receives audible content and plays back the audible content in coordination with specific robot functions. In one example, the robot controls externally visible indicia of the robot in coordination with a play back of audible content such as, inter alia, synthesized voice content during a user interaction and/or training mode.
In yet another aspect, the robot includes a facade or external housing changeable with customized cladding. In one example, the home robot includes interchangeable molded plastic or metal body panels affixed to an exterior of the robot by snap-on fasteners, insertable fitting tabs and receivers, screws, magnetic fixing pieces, etc. The interchangeable body panels correlate to audio content uploadable to the robot. In one instance, the customized body panel includes an identification system for automatically causing the robot to download and/or use the corresponding audible content. The identification system may include an integrated circuit, characteristic resistance, bar code, optical identifier, RFID, passive magnetic resonance, or mechanical identification system (e.g. a punch-card-like series of holes or protrusions).
The ability to customize the robot by transferring selected sound or multimedia schemes, themes, tones, music, audio or visual content, choreographic or movement routines, or other data to the robot improves overall enjoyment from the robot by a user. In one aspect, the robot includes a radio receiver configured to receive audible content via wireless transmission, a memory configured to store the audible content, a speaker configured to emit the audible content, and indicia controllable by a controller and configured to indicate operative information in a first mode and to indicate illustrative information in coordination with the audible content in a second mode. The indicia may include a light-emitting diode and also a power indicator configured to indicate an actual power state of the robot in the first mode and a training pattern in the second mode. The robot may further include a voice synthesizer configured to synthesize spoken didactic information based on the audible content. Also, the wireless transmission may be structured according to a packet-encoded transmission protocol. The robot may further include a customizable body panel detachably affixed to a main body of home robot, where the customizable body panel corresponds with themed audio data included in the audible content.
The robot may be configured to operate in at least first and second modes. The first mode corresponds to a normal robot operating state of the performing a primary function. The second mode corresponds to a training mode, where the speaker emits an audible training instructional program. In the second mode, the indicia of the robot displays according to a training pattern in timed coordination with the audible training/instructional program, where the training pattern displayed on the indicia is different from an operative pattern corresponding to an actual state of the home robot.
In another aspect, a robot system includes a mobile robot and a wireless communication system for communicating with the robot. The wireless communication system includes a network interface unit configured to communicably interface with a first network and to wirelessly transmit data to the robot. The wireless communication system also includes a server configured to communicate with the network interface unit via the first network. The robot is configured to wirelessly transmit data to the network interface unit, which is configured to convert the data from a wireless protocol to a network protocol used by the first network. The network interface unit transmits the data to the server. The server may be configured to produce robot usage, robot behavior, and/or customer information based on the data transmitted to the server. Also, a user terminal configured to communicably interface with the first network and to control at least one function of the robot may be provided. The user terminal transmits a command corresponding to at least one robot function to the network interface unit via the first network. The network interface unit wirelessly transmits the command to the robot. User interaction is performed through this user interface, allowing further usage data to be collected. This offloaded interface also allows the robots to coordinate actions without needing to communicate directly with one another. The robot systems are functionally independent of one another, but are tied together via the server through a single user interface/data logging/usage information collecting server.
In one example, the wireless communication system includes audible content stored at the server. The server is configured to transmit the audible content to the network interface unit, which is configured to wirelessly transmit the audible content to the robot. Alternatively, audible content may be stored at the user terminal, which is configured to transmit the audible content to the network interface unit via the first network. The network interface unit is configured to wireless transmit the audible content to the robot. Furthermore, content may be stored at a base station to which the robot docks for recharging and/or servicing.
Robot-generated data may include theme data corresponding to audible content, in which the server transmits the audible content to the robot via the network interface unit in response to the theme data. The data may alternatively include a behavior theme configured to cause the robot to behave according to a theme. The audible content may include voice data. Other robot behavioral changes may be implemented based on long-term monitoring and analysis of the robot-generated data. (For example, if the robot does not make it back to the dock before the battery gives out three times in a row, the server modifies the behavior of the robot to start looking for the dock/base station earlier. This modifies the robot behavior to be “more conservative.”)
Behaviors are parameterized and can be modified, or even disabled/activated based on analysis of usage/sensor information. Robot performance can be autonomously modified by the learned effects of the actual customer home. This can take place after the robot has been purchased and server is updated to provide a better model of robot/home performance characteristics. The wireless reporting infrastructure allows a modification of behavior based telemetry to provide the best performance for a particular customer. The learning process is dynamic and can change as an understanding of the data increases.
In one implementation, the wireless communications system includes a second user terminal which is configured to communicably interface with the first network. A theme may be stored at the first user terminal, which transmits the theme to the second user terminal via the first network. The first network may include UDP, TCP/IP, and/or Ethernet, as examples.
In another aspect, a content distribution system for distributing data to a robot includes a first server configured to communicably interface with a first network and a user-side node configured to transmit data to the robot. The robot receives customizable content via the user-side node. In one example, the content distribution system further include a network hub configured to use a protocol compatible with the first network and a network adapter configured to communicably connect the network hub with the first network. The user-side node is configured to detachably interface with the network hub. In another example, a data slot is installed on the robot and configured to receive the user-side node. In yet another example, the content distribution system further includes a content server configured to communicably interface with the first network and to transmit the audible content to the robot via the user-side node using the first network. The content server transmits content to the user-side node based on information received from the first server (e.g., the content served by the content server may include licensed content such as music or sound, images, “dance” moves or patterns performable by an appropriate type of mobile robot such as a wheeled robot—also referred to herein as “robo-motions”, and the like, for which the copyright is held by a third party; alternatively, the copyright holder of the content may be the manufacturer or any other entity). Also, the user-side node of the content distribution system may be configured to receive content from the server via the first network, and user-side node may be configured to transmit the content to the robot via a wireless communication protocol.
In some instances, the content distribution system further includes a user terminal configured to communicate via the first network and a content selection display presented on the user terminal. The customizable content is transmitted to the robot when selected from the content selection display on the user terminal. The user-side node includes an Ethernet dongle or a USB dongle (or “network bridge”) configured to detachably connect to an Ethernet hub. The user-side node is configured to receive content via the Ethernet hub and is configured to transmit the content to the robot via a second protocol different from the first network. (As used herein, the term “data bridge” is understood to refer to all such dongles and/or pocketable and/or portable devices capable of appropriately communicating with a robot, either via wireless, wired, or direct physical connection, or any other suitable modality for such a portable device to communicate and/or transmit data to the robot.) Also, the user-side node may receive content from the data bridge or from a remote site, with no client application located on the user terminal, just a web browser. Alternatively, a specific client application may be provided. The user-side node may be configured to operate using power supplied via the first network. The customizable content may include audible content, which may be organized into a theme of related discrete sounds.
In other instances, the robot transmits information corresponding to a theme to the server via the user-side node and receives customizable content including thematically related audio data corresponding to the theme. In one implementation, a main body of the robot includes a detachable body panel having an audio/theme identification unit. The robot is configured to identify audio content and/or a theme corresponding to the detachable body panel via the theme identification unit. The second protocol may include a wireless transmission protocol (e.g. ZigBee, 802.11a/b, wireless USB, serial-over-RF, AMPS, CDMA, GSM, Bluetooth, a simplistic or proprietary scheme, etc.).
The content distribution system may further include a voice synthesizer installed to the robot, in which the audio data includes voice synthesis parameters (for altering the perceived “personality” of a robot, or to better accommodate someone who has hearing loss in certain frequency ranges, for example).
Also, the robot may further comprise a robot firmware which is customized based on user feedback or robot sensor data processed by a server, in which the robot firmware is downloaded to the robot from the server.
The details of one or more implementations are set forth in the accompanying drawings and the description below. Other features, objects, and advantages will be apparent from the description and drawings, and from the claims.
Like reference symbols in the various drawings indicate like elements.
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In certain implementations, the robot 104 includes a display panel 105 in electrical communication with the controller board 1046. The display panel 105 includes indicia 1052 and an audio output device 1054. In one example, the indicia 1052 include a segmented illuminable maintenance display substantially mimicking the appearance of the robot. In other examples, the indicia 1052 include themed displays, which will be described later in further detail. The controller board 1046 controls the illumination of indicia 1052 and the audio responses from the audio output device 1054.
The peripheral device 104 may perform in several capacities. For example, the peripheral device 102 may act as a fence. The peripheral device 102 may use the fence beam 106a to prevent the mobile robot 104 from passing through an area, such as a doorway. The peripheral device 102 may also act as a gate. The fence beam 106a may provide a gate that prevents passage during a particular time interval, such as when the mobile robot 104 is in the process of cleaning a room. The peripheral device 102 may deactivates the fence beam 106a when the mobile robot 104 has finished cleaning the room and grants passage to the mobile robot 104. The mobile robot 104 uses the beams 106b-c to guide its way through the area covered by the gate. In addition, the peripheral device 102 may act as a trail marker or navigation beacon. For example, as described above the mobile robot 104 may use the beams 106b-c to navigate through areas, such as doorways. The beams 106a-c may contain information, such as an identifier (ID) of the peripheral device 102, an identifier of the type of beam, and an indication of whether the peripheral device 102 is a gate or a fence. If it is a gate, the beam identification allows the robot 104 to determine whether it is detecting the left or right guide beams 106b and 106c, respectively. The peripheral device identifier allows the mobile robot 104 to distinguish the beams 106a-c of the peripheral device 102 from beams transmitted by another peripheral device. The mobile robot 104 may be taught (or may itself learn) a path to an area, such as a back room of a house, by following a pattern of peripheral device identifiers. The beam type identifier indicates whether the beam is a fence beam 106a, a left side navigation beam 106b, or a right side navigation beam 106c. If the beam is a fence beam 106a, the beam information may also indicate whether the beam is acting as a gate that may be opened, given the proper command, or a barrier that remains closed. In any case, while the mobile robot 104 is out of range, the peripheral device 102 hibernates and the beams 106a-c remain inactive.
The wireless communication component 1024 of the peripheral device 102 receives a signal from the wireless communication component 1044 of the mobile robot 104 to activate the peripheral device 102 from a hibernation state. In certain implementations, the mobile robot 104 transmits a first activation signal 108a to activate a first set of peripheral device beams, such as the fence beam 106a while cleaning is in progress. In certain implementations, the mobile robot 104 transmits a second activation signal 108b to activate a second set of peripheral device beams, such as the navigation beams 106b-c when the mobile robot 104 moves to another room. In certain implementations, the signals 108a-b include a mobile robot identifier. The peripheral device 102 may use the mobile robot identifier to activate, for example, a first set of beams, such as the fence beam 106a, in response to an activation request from the mobile robot 104 and a second set of beams, such as the beams 106b-c in response to an activation request from a second mobile robot. In this example, the mobile robot identifiers allow the peripheral device 102 to activate beams based on the mobile robot requesting the activation, such as by providing a fence to the mobile robot 104 and a gate to a second mobile robot.
In one example, the network data bridge 202 which attaches to an Ethernet port on the Internet-connected router 204 or switch may automatically download a script from a predetermined Internet or local server (e.g., via BOOTP, DHCP, HTTP, FTP, and/or TFTP) thereby providing automatic commands, such as device configuration or diagnostic testing, to be performed. Alternatively or additionally, a user may manage the mobile robot 104 using a device, such as the computer 206. The Ethernet-attached network data bridge 202 may provide for configuration and operational functionality via a small, embedded HTTP server built into the firmware of the network data bridge 202. Devices other than the computer 206 may also be used to interface with the network data bridge 202, such as a set-top box, a game console, the PDA 212, a cell phone 214, or a home server that is programmed to communicate using web or other networked interfaces.
As an alternative, access to broadband is provided via a USB port, as may be provided by the computer 206. For example, a user may insert a driver CD-ROM into the computer 206 upon plugging in a USB-based wireless transceiver, in order to install a driver therefore. Another connection, such as IEEE 1394/Firewire, RS-232, parallel port connections, and/or X10, may be used. These, however, may not necessarily be network data bridges.
Once a network data bridge 202 is attached to the network-accessible device 204, it can contact a server.
Further, the network data bridge 202 may connect wirelessly to the mobile robot 104 and initiate communications therewith. While the Ethernet hub 204 includes four wired Ethernet ports as well as 802.11 wireless Ethernet connectivity, and although 802.11 or other such wireless networking protocol may be used to communicate with a mobile robot 104 from the base station other than via a network data bridge, in certain implementations, the mobile robot 104 and the network data bridge 202 use a simple, serialized RF protocol in order to exchange information between the mobile robot 104 and the base station, rather than the full-weight networking protocols.
In certain implementations, the mobile robot 104 may be further simplified by providing receive-only functionality on the mobile robot 104, instead of bi-directional wireless communication support. However, as an alternative, the mobile robot 104 may include full bi-directional wireless communications support in order to transmit information from the mobile robot 104 to the base station (and e.g., to the user, the manufacturer, etc.).
The manufacturer may receive real-world mobile robot data for product refinement and R & D. For example, the mobile robot 104 may collect data regarding behavioral patterns (e.g., a number of errors encountered, a number of times the mobile robot 104 has become stuck, or how frequently the mobile robot 104 is used) and forward such information to the mobile robot's manufacturer for refining market research and producing future models of the mobile robot 104, for example, by correcting design flaws or device problems. Moreover, customer information such as frequency of robot use, name, customer ID, etc., may also be correlated using information forwarded to the manufacturer's website from the mobile robot 104 via wireless and wired networking.
In addition, instead of the user having to locate and e.g., tote the mobile robot 104 to the base station in order to physically connect the mobile robot 104 thereto for software upgrades, software updates, and the like, a wireless update function may be provided by the network data bridge 202 in order to update the robot's firmware or other on-board software, personality, sounds, and/or displayed pictures. Also, a user may design themes or other content and have this content transmitted to the mobile robot 104 via the wireless communication channel provided by the network data bridge 202.
The network data bridge 202 is plugged directly into the owner's broadband router 204. The network data bridge 202 acquires network information from a DHCP server or optionally configured by an advance user. The network data bridge 202 calls home (i.e., a home robot manufacturer's or reseller's Internet server) with local configuration information (serial number, local network properties, etc.). The network data bridge 202 begins polling a pre-configured URL with periodic HTTP POSTs. Each post contains status information on the mobile robot(s) 104 in the customer's home. This data can be robot/firmware specific—the network data bridge 202 need not understand the data itself (although it may well do so in certain implementations).
A CGI script receiving the POSTS processes this sensor report and updates an internal database creating a historical view of the robot system. Software-based virtual sensors examine this database (on a per-robot basis) and trigger events such as virtually pressing a button on the robot or triggering an email to its owner.
The owner may visit the home robot manufacturer's web presence using a modern, i.e.; JavaScript-enabled (or any other suitable scripting language such as Visual Basic, python, PERL, Php, etc.) web browse, and creates a user account. As part of the registration process, the customer enters the unique key as shipped with the wireless data bridge—this unique key pairs the incoming sensor stream with the user's account.
After registration, the user may be forwarded to their portal page. This page is dynamically generated using the information already provided by the robot gateway and product information and tie-ins provided by the back end infrastructure of the manufacturer's server(s).
Owner browses to theme or content store and purchases an audio theme with immediate online delivery. Theme or content store contacts robot sensor database and adds to the command queue: “download this content to robot #2” When the gateway device next posts sensor data, the HTTP response is the command to download the attached content data to the specified robot. The wireless data bridge begins forwarding this binary stream to the robot via RF. When completed, the gateway may sends a download acknowledgement with the next sensor report.
During this transaction, the javascript (or other suitable script) embedded into the owners' web interface has been polling the back-end servers for status updates. A progress bar has been drawn and animated using javascript and DHTML (or Ruby on Rails, a JAVA applet, or any other suitable display technology). The user may feel that s/he is interacting directly with the robot via the web page, despite the levels of software and communication indirection laying therebetween.
In one implementation, the wireless data bridge 202 may include a female port into which an Ethernet patch cable (or other such networking cord) plugs into from a suitable network connection point, and/or into which an interface portion of a home robot attaches, for example. As examples of such a system as described hereinabove, these communication channels provides a mechanism for retrieving sensor data and sending commands to robots in the field by piggy-backing on their broadband connection.
Such a bi-directional communication system allows deployment of online services and to retrieve sensor data from a manufacturer's installed base for improved customer service and system characterizations. It may further increase the manufacturer's comprehension of how robots and individual subsystems perform in the field.
Interaction the network-enabled mobile robot(s) 104 in a customer's home may take place through a web browser, in accordance with certain embodiments. Web browser access provides support for robot interaction via non-PC devices (e.g., cell phones, and PDAs) with compliant browsers.
A “Memory stick”-type (serial port interface), network data bridge 202 may provide content to mobile robot users who lack an Ethernet hub or Internet connection, or for users who are unable to purchase content online via credit card, or who simply come across a set of content while at a store and wish to make an impulse purchase or gift purchase for another. Furthermore, similar to the network data bridge implementation discussed above, personal computer use is not necessarily required because the user may plug the “memory stick”-type network data bridge 202 directly into a receptacle 602 defined by the mobile robot 104, and content on the network data bridge 202 may be automatically uploaded to the mobile robot 104. See, e.g., U.S. patent application Ser. No. 11/166,518, incorporated herein by reference in its entirety.
The wireless data bridge 202 may provide web server functionality and serve static or dynamic web content corresponding to enabled mobile robots 104 belonging to the mobile robot user. Such web server functionality may be provided on the mobile robot user's local broadband network and e.g. be broadcast discoverable using TCP/IP, UDP, Ethernet, SNMP, NetBEUI, IPX, SMB or uPnP broadcast network announcing, for example, in order to be found by mobile robot users when browsing the local area network; alternatively, a static network address (such as a standard, pre-set IP address) may be assigned to the data bridge 202 such that users may simply type the static network address into a web browser to reach the web server on the network data bridge 202. The web content may be active or static, and may be tailored to the functionality to be provided and/or may be updated via the Internet or local network.
The data bridge 202 may send local network information to the Internet server. As a non-limiting example, the user may connect to the Internet 706 and may be redirected to the local bridge as appropriate. By publishing a well known Internet address that both bridge and/or the user may access, the need to know the user's local information may be eliminated.
In addition to the network data bridge 202, a wireless remote control may offer several similar wireless functions for controling or managing the mobile robot 104. The wireless remote control may communicate directly with the mobile robot 104 via an infrared (IR) or RF protocol, or may relay commands through the network data bridge 202, for example, when the mobile robot 104 is not within sight but the remote control is within IR signaling range of the network data bridge 202. The network data bridge 202 may thus also be provided with an IR sensor for receiving mobile robot control commands from the wireless remote control, and then relay the commands wirelessly to the mobile robot 104—for example, the embedded web-server may bridge a proprietary or ad-hoc communication method used internally by the mobile robot 104 (and also used by accessory items added to the mobile robot 104) with a persistent online presence by translating the internal communication protocol(s) into HTTP POST and GET transactions.
The online presence may generate a web-based user interface that incorporates javascript components to asynchronously poll the mobile robot 104 for state changes (e.g., battery voltage). This javascript may asynchronously fetch changes in the robot properties and rewrite the content in the page. Sensor values, etc., can be refreshed by the web browser without the customer needing to click refresh on the browser, for example.
The web-based interface may use customer tracking and persistence robot sensor data to pair the mobile robot 104 with the customer account and present user interfaces for equipment the customer owns.
Further, if a series of the peripheral devices 102 are arranged throughout a home or other location and set up as a relay network stemming from the base station, for example, then the commands relayed from the remote control may also be relayed throughout the beacon network to reach a home robot that may be quite distant from the remote control.
Wireless bandwidth (especially in unlicensed bands such as 900 MHz, 2.5 GHz, or any other such suitable public RF band) is by its nature limited, and because the presence of multiple RF devices (such as, for example, multiple mobile robots and/or network data bridges, WiFi, BlueTooth, X10 mobile or portable telephone or other common wireless devices; and/or interference from sources such as solar flares, RF discharge from electrical lines, florescent lights, or any other RF-interfering entity) may further restrict the effective amount of bandwidth or the degree of reliability of bandwidth available for wireless mobile robot communications, reliability and postponement measures may be taken to enhance the functionality of the network data bridge 202 and/or the mobile robot 104; conversely, the network data bridge 202 and/or the mobile robot 104 may be configured to reduce their consumption of available bandwidth in order to give priority to other wireless devices. For example, regarding the reliability of the wireless robot network communications, techniques such as cyclic redundancy checking (CRC) and/or has routines (such as, MD5 sims or CRAM) or other appropriate reliability techniques (such as parity or error correcting codes (ECC)) may be employed on either the data bridge-to-robot channel and/or the Internet-connected channel (e.g., on the Ethernet-to-data bridge channel). Furthermore, to limit the use of valuable bandwidth during business or other peak usage times, the network data bridge 202 and/or the mobile robot 104 may be scheduled to transmit theme content, usage/behavior data, or any other such communication during night-time or off-peak times; alternatively, for example, the network data bridge 202 and/or the mobile robot 104 (and/or the manufacturer's server) may be scheduled to perform their communication (or the bulk of their communication) at an automatically detected off-peak usage time, by detecting when bandwidth usage is lowest (either in real-time or by collecting data of bandwidth usage-per-time-of-day over a series of days or weeks and then determining the generally least used times of day, as non-limiting examples). Reliability measures may be taken at either the network or application layer or both, for example, or at any other suitable layer in a communication stack (such as the data bridge using UDP on the Internet for simplicity and non-critical communications, but the web server using full error-checking, reliability and/or error correction measures, windowing, etc.
Also, the web server functionality in such a data bridge can communicate with a known network address or location (such as a fixed IP address or uniform resource locator (URL)) in view of issues that arise with DHCP and dynamic IP address assignment, for example; the web server on the network data bridge 202 may thus behave in a manner similar to a client for a significant portion of time in order to actively access and/or poll “server”-like resources available on the mobile robot 104 (via wireless connection, for example), as in many examples the mobile robot 104 maintains relatively little network functionality in the mobile robot 104 itself (such capabilities being offloaded largely onto the network data bridge 202).
The web server functionality may establish network communications with the mobile robot 104 and/or Internet server(s) via a suitable protocol or standard, such as FTP, FTPS, TFTP, HTTP, HTTPS, GOPHER, TELNET, DICT, FILE and LDAP, HTTP POST, HTTP PUT, FTP uploading, HTTP form based upload, proxies, cookies, user+password authentication (Basic, Digest, NTLM, Negotiate, Kerberos4), file transfer resume, http proxy tunneling, and/or other suitable network methods (such as a method supported by libcurl, for example). The network data bridge 202 may employ network announcement techniques such as uPnP, dynamic DNS, reverse ARP, Ethernet or UDP or TCP/IP broadcasting, or another suitable method of broadcasting the existence of the network data bridge 202 to other devices on the same network.
By offloading much of the server functionality from the mobile robot 104 to the network data bridge 202, and using the network data bridge 202 as a communications proxy, mirror and gateway, the mobile robot 104 is also shielded from excessive client requests that might otherwise tax its processing and/or bandwidth resources. For example, the mobile robot 104 may in one time period (e.g., ten minutes) produce thirty visual snapshots from an on-board camera. Then, if several entities were to attempt to download the snapshots from the mobile robot 104 simultaneously, the mobile robot 104 might quickly be overwhelmed as the wireless network became bogged with service request traffic. As an alternative, however, the mobile robot 104 may be accessed by just one entity, the network data bridge 202, at a known regimen of polling requests, thus preserving the mobile robot's bandwidth and processing capability while still permitting replication of any such collected data by copying it to Internet servers for broader access, for example.
In addition to RF-band wireless communication, the network data bridge 202 (and/or the mobile robot 104 or the peripheral device 102) may transmit via other suitable frequencies an/or bands in the electromagnetic spectrum, such as the 900 MHz, 2.4 GHz, microwave frequencies, or other suitable bands. To alleviate interference that may occur in these or the RF or another band, the mobile robot 104 and/or the network data bridge 202 may employ frequency shifting, spread spectrum, sub-channel technologies, and/or other such interference-avoidance schemes or techniques for avoiding interference with other unlicensed RF applications (phones, baby monitors, etc.).
In addition, robot commands might be sent by the network data bridge 202. Additional functionality may be provided to the user in the form of issuing remote commands while away from home. Accordingly, if a home robot owner were to forget to schedule or activate the mobile robot 104 prior to leaving on a business trip, the mobile robot user might still program or activate the mobile robot 104 remotely via a command generated by (for example) a mobile robot interaction website provided by the mobile robot manufacturer, which would be relayed through the Internet or other suitable network to the network data bridge 202, which would in turn convert the information received from the Internet into a corresponding wireless robot network command and transmit the command wirelessly to the mobile robot 104 for execution.
In certain implementations, a series of robot commands corresponding to timing and execution of movements, etc., may be compiled into a “dance” routine and transmitted to the mobile robot 104 after a user selects the “dance” from a website maintained on the mobile robot manufacturer's server; alternatively, the “dance” might be combined with audible content such as music or sounds, and/or commands to control the indicia (such as light-emitting diodes (LEDs), liquid-crystal displays, and/or backlights, inter alia) to provide a multimedia “dance,” music and lightshow. A further non-limiting example includes live trouble-shooting or technical support provided to mobile robot users, e.g., initiated through a telephone call or the Internet, or e.g., through a microphone and speaker installed as part of the mobile robot 104 along with the appropriate computing, recording, mixing and transceiving hardware and software (and bandwidth, both wireless and over the Internet, as well as proper latency and synchronization). Additionally, for example, a camera might be included for enhancing such virtual interaction, and/or the proximity sensor normally put to use in obstacle detection may be employed during alternative modes as a general-purpose observation camera in those implementations in which the proximity sensor is configured to function as a visual-spectrum camera, with encoding and transmission of streaming video from the robot via the wireless link to the network data bridge 202 and onto a networked destination, inter alia.
Similarly, for transmitting robot usage and behavior information to the mobile robot manufacturer's server, the mobile robot 104 may collect certain data regarding battery use, recharging frequency, amount of times spent performing its primary task, the amount of time spend idle, the frequency with which the robot becomes stuck, etc., and periodically transmit this data to the mobile robot manufacturer's servers via the network data bridge 202.
Moreover, the ability to transmit audible content to the mobile robot 104, either via the network data bridge 202 or via a “memory stick”-type data bridge, permits the mobile robot 104 to “speak” instructions directly to the user of the mobile robot 104 at the time and place of use. For example, the mobile robot 104 may speak directions when in a demo mode that is initially run to demonstrate various features the mobile robot 104 can perform. Voice instruction to the mobile robot user can be accomplished by transmitting encoded audible content to the mobile robot 104 (either by installing such audible content on read-only memory (ROM) in the home robot at the time of manufacture, or by transmitting wirelessly on otherwise and storing the audible content in flash RAM, for example) and playing it back over an on-board decoder and/or synthesizer and speaker installed in the mobile robot 104. Synthesized speech encoded for decoding on speech synthesis hardware may require less on-board storage than non-synthesized speech; however, as an alternative, natural or computer speech may be recorded as wave-form encoded (and/or psycho-acoustically encoded) sound data and transmitted to the mobile robot 104 for storage and later playback. Alternatively, however, speech for playback on the mobile robot 104 may also be encoded as WAV files or compressed sound files (e.g., employing compression such as Lempel-Zev-Welch (LZW) or other techniques that are less computer-resource-intensive than, for example, MP3 or Windows Media (WMV) decoding).
As another example, by using a synthesizer, a phoneme string file to be downloaded to the mobile robot 104 may include and/or be thematically associated with, for example, an animation storyboard file including tags that trigger synchronized or asynchronous parallel movement events, lights (or other indicia) and/or non-synthesized sound Using such a phoneme pattern and storyboard, a string such as “he-llo ha-w [which may here present a tag to start a “bowing” trajectory in, trajectory out movement as an asynchronous ballistic behavior] a-re y-ou” may thus trigger the associated “bowing” robo-motion (e.g., thematic “dance” or emotive behavior performable by the mobile robot 104). Further, if sound recording hardware such as a microphone and sound processing hardware are installed in the mobile robot 104, as well as sufficient processing or transmitting capability, then the mobile robot 104 may include speech-recognition functionality in order to recognize spoken commands or other interaction from mobile robot users; also, the storyboarding capability as discussed above may encompass and encode response and references to any of the functionalities or capabilities performable by the mobile robot 104.
An RF system used by the mobile robot 104, the network data bridge 202, the remote control, and/or the peripheral device 102 may include four radio transceiver modules that are located in the mobile robot 104, the remote control, the peripheral device 102, and the network data bridge 202. The remote control may use RF to transmit control signals to the mobile robot 104 using a bidirectional protocol or unidirectional protocol; also, the remote control unit may allow the user to “drive” the mobile robot 104 around as well as sending scheduling data created on the remote control unit. The mobile robot 104 may use RF to wake-up and power-manage the peripheral device 102 using a bidirectional protocol. The network data bridge 202 may use RF to transmit data and code updates to the mobile robot 104 as well as to upload diagnostic data from the mobile robot 104 using a bidirectional protocol. Furthermore, when there are multiple peripheral device as well as the network data bridge 202 in operation, in which the peripheral devices and the network data bridge 202 can maintain an RF or other communication channel in a relayed fashion, the wireless robot network communication between the network data bridge 202 and the mobile robot 104 may be propagated along the chain of peripheral devices even when the mobile robot 104 is beyond the direct RF range of the network data bridge 202. The effective range of the wireless robot network can be extended by the linking of peripheral devices.
The 2.4 GHz ISM band may be used with either direct-sequence or frequency-hopping spread-spectrum transmission techniques. In addition, either a custom proprietary protocol based on some implementation of a standard 7-layer OSI model may be used, or the ZigBee 802.15.4 standard protocol may alternatively be used, inter alia. The custom protocol may allow for proper regulatory compliance in all countries of interest, for example, or alternatively, may be suited for each anticipated national market.
The following single chip, integrated RF transceiver radio modules are examples of chipsets that may be used to implement the RF system: Chipcon CC2500; Chipcon CC2420; Freescale MC13191; Freescale MC13192. A printed circuit “F” style antenna design may be used with either no external RF power amplification or a suitable RF power amplification depending on the range and power requirements.
Regarding a proprietary robot-net RF protocol, such a protocol may be simpler than Zigbee, for example, in that Zigbee has two parts—signaling (IEEE 802.15.4) and application (routing, etc.). As an alternative, the proprietary robot-net protocol may use 802.15.4 because the standard has driven down the cost of goods for antennas, microcontrollers, etc. The contemplated robot-net may however deviate from Zigbee (a meshed network with routing) at least in that it may be a point-to-point network. Under Zigbee, nodes would be required (in some cases) to route traffic for other nodes; this behavior may place excessive responsibility on Lighthouses, Remote controls, and RF data bridges, etc. Robot-net RF may include a sparse protocol that simply has robot or beacon control and reporting messages like WAKEUP, GO_CLEAN(robot-n), ERROR(robot-n, i-am-stuck), etc.
The savings in complexity may enable small amounts of memory (e.g., 8K) on some elements of the network. As an example, a Lighthouse may be 8 KByte of program memory. The point-to-point protocol may be simpler than Zigbee because it does not support routing of traffic from endpoints other than the home robot products, encryption of data packets, or many other features needed for meshing. Above this packet transport layer, robot-net may define messages that are specific to robot control and monitoring which are unique (lighthouses may also be configured to use the protocol, although the may be turned on and off by the robot extra-protocol). This control is unique even if implemented such that ZigBee forms a portion of the application layer, as a non-limiting example.
At least one of the endpoints may be mobile. Instantaneous signal strength, or signal strength over time can be used to help the robot navigate or correct beacon-based navigation, e.g., by providing additional data informing the robot that it is proceeding in the correct direction or in a failure mode, as non-limiting examples.
With regard to a vocal and multimedia demonstrations mode executed e.g., just once when the mobile robot 104 is first used (and then the accompanying data being e.g., discarded to liberate system resources), or at any time when an appropriate “demo” button is pushed, the demo mode may include several speech files may be scripted in sequence; in which the script is not necessarily an interpreted script, but may simply represent a linear routine coded in any suitable manner. The script may flash the lights and buttons visible on the mobile robot 104, make sounds and cause the mobile robot 104 to do the things it is supposed to demonstrate (such as spot cleaning). The demo script may flash the lights or other indicia directly and run the behaviors directly, or could generate phantom presses/sensor events within the robot's computer control system to make the appropriate indicia and/or behaviors occur. For example, to start the spot cleaning demo, the voice routine could tell the user to press spot clean now (or could send a phantom button press to the UI control, which would flash the button as usual and start as usual. Other demos may be triggered by fake signals forwarded to a virtual sensor, for example—demo of stasis/stuck response by telling the mobile robot 104 it is stuck, etc.), then wait a certain period before reasserting control for the remainder of the demo. The demo could detect that the user pressed the wrong button and redirect him, as well, for example.
Examples of “robo-motions” (interchangeably, “animotions”) which may be transmitted either alone or as part of a theme or bundle may include new functional robot motions or behaviors such as spot-coverage, wall-following, and bounce operational modes, which may pertain to at least certain implementations of mobile robots in accordance with the present invention are specifically described in U.S. Pat. No. 6,809,490, by Jones et al., entitled Method and System for Multi-Mode Coverage for an Autonomous Robot, the entire disclosure of which is herein incorporated by reference in its entirety.
In addition, to one example, the mobile robot 104 may be provided with a speaker for playback of audible content, a wireless or direct link to the network data bridge 202 for receiving the audible content, and a processor (for example, a speech synthesizer, MIDI chipset and/or frequency modulation (FM) unit, etc.) for replaying the audible content. The audible content may have significant functionality—in a non-limiting example, a warning siren sound may be downloaded to provide a clear signal when the mobile robot 104 detects a potentially hazardous condition such as overheating of a vacuum motor, or a series of slowly-spoken instructions may provide hard-of-hearing or disabled mobile robot users with a more understandable tutorial on the use of the mobile robot 104. Furthermore, the audible content and/or theme may provide instructions or other speech in any of a variety of human languages or dialects; in addition, any behavioral or movement-based content such as may be associated with or included in a regional, national, linguistic, cultural, occupational, character or other such theme may also be appropriately correlated. For example, a “ballerina” theme might include spoken instructions affecting an accent reminiscent of a French accent, and a motion profile that causes the mobile robot 104 to perform pirouettes, spirals, figure eights, and other movements reminiscent of a dancer performing ballet, inter alia; this might also be associated with a body cladding set that would suggest a leotard, for example, to enhance the thematic effect.
The specific tying of certain content to certain behaviors is also made possible. For example, whenever the mobile robot 104 performs a certain “robo-motion” or trick (or less sanguinely, gets stuck, for example) such as a game of chase, it might play the “William Tell Overture,” alternatively, it may issue plaintive wails for help when the mobile robot 104 detects that it is lost, cut off from communication with any beacon, the network data bridge 202 or a home base, or is otherwise stuck or stymied.
Furthermore, the interchangeable body panels 502a-b may include an identification system corresponding to audible or other thematic content that may be transmitted to the home robot to complete the theming effect. For example, the body panels include an electrical contact 504 which is positioned along the interior edge of the panels 502a-b so as to contact a corresponding electrical contact on the mobile robot 104 when installed thereon. The electrical contact 504 on the body panels 502a-b is operatively connected to an appropriate electronic identification unit, such as an integrated circuit (IC) 506 that outputs a voltage pattern corresponding to a unique theme ID number; and/or a specific resistance 508 which likewise corresponds to particular theme IDs 510a-b. Alternatively, the body panels 502a-b may include an RFID or passive magnetic device; a mechanical ID mechanism such as a punch-card like series of holes or peaks; an optical ID system such as a barcode or characteristic color; or any other modality suitable for identifying a body panel's corresponding theme. The ID can be transmitted by the mobile robot 104 back to the network data bridge 202 as authorization or identification to download corresponding themed firmware, multimedia, etc. to the mobile robot 104 as discussed herein.
As a default behavior, if no identification of the body panel can be made by the sensors of the mobile robot 104, the mobile robot 104 may e.g., reject theme content as potentially unauthorized; or, conversely, accept any theme material if there is little concern regarding unlicensed theme content.
Also, once an identification of the theme corresponding to an installed body panel is determined, the mobile robot 104 may wirelessly transmit information regarding the detected theme ID to the mobile robot manufacturer's server via the wireless robot network data bridge 202 and Internet, for example. the server may then determine whether audible or other content corresponding to the transmitted theme ID is available, and if so whether the corresponding content is properly paid for, licensed, etc. If all determinations are affirmative, the server may transmit the corresponding content (such as a set of audio data arranged as a sound theme and/or a set of robot “dance” commands, indicia patterns, etc.) to the mobile robot 104 via the Internet and the network data bridge 202, for example; alternatively, the server may transmit an “unlock code” or cryptographic key for decoding encrypted and/or otherwise restricted content already present at the mobile robot 104; or, for example, the mobile robot manufacturer's server may cause a separate content server (e.g., belonging to a third party and under licensing and electronic distribution agreement with the mobile robot manufacturer, for example) to transmit such data to the appropriate mobile robot which sent the theme ID.
Also, the theming may even extend to the content within themes—e.g., if a robot has several audio files or “earcons” loaded (e.g., in a format such as MIDI), and then selects a “steel drum” theme, the theme might include musical instrument elements (e.g., also encoded as MIDI instruments or other suitable format) which replace the standard instruments that would normally be played in the earcons or sound files; as such, a rock ballad may be “themed” into a Caribbean anthem, as a non-limiting example.
With regards to the themed content, combinations of various interdependent (or independent) content types (e.g., including—but not necessarily limited to—sounds, body cladding, choreographed “dance” moves, behavioral response profiles, or the like, as non-limiting examples) are possible to permit a high degree of thoroughness in the impact themes may have on users. Sounds such as background music to be played while the home robot either sits idle or performs takes; “earcons”—that is, sounds that convey meaning and which are played back when triggered by certain events or behaviors, such as the robot playing a car-crash “earcon” when the robot bump sensor detects a collision with an obstacle, or the phrase “feed me!” as an earcon when the robot's detergent or other consumable bin is empty, inter alia; daily or monthly activity or activation schedules such that a “family dog” themed robot may cease hibernation or recharging mode when a sound corresponding to the delivery of the morning newspaper is detected, and then proceed to the user's bedroom to “bark” and cavort about in figure “s” or semi-random movement patterns (or to “wag its tail” by rotating the hind portion of the robot repeatedly back and forth) adjacent the user's bed to wake the user or to get the user's attention in a manner reminiscent of an excited dog; a “listening” behavioral routine which may cause the robot to, for example, behave as a parrot (e.g., in combination with other parrot-themed content such as plumage-like body cladding, “whistling” sounds and a parrot-like gait for movement) and repeat back recently spoken words that are detected by an on-board microphone (e.g., in a distorted, squawking manner reminiscent of a true parrot, for example); and/or network-access patterns for robots equipped to communicate via a wireless network (for example, a “spy” theme might, in combination with various other thematic content, include a network access profile that might cease all network access for various periods of time when the “spy” robot is expected to maintain “complete radio silence,” for example; or conversely may be conditioned to frequently retrieve updated information from a network source in order to fulfill a role as a trivia quizmaster by downloading questions and/or answers to be posed to guests of the user while playing a party game, for example—indeed, such quiz questions and answers or the rules of a game might themselves be bundled into a theme in static format, as a further example of the broad extent of theme-able content types). Also, content such as the “robo-motions” (“dance” moves or distinctive motions performed by wheeled or otherwise mobile home robots) may be triggered on command by way of voice command recognition, etc., on the robot such that the user may clap her hands or verbally instruct the robot to “beg” or “stand still” or “dance the Lindy Hop,” and the robot would comply by performing the associated robo-motion, for example.
Functional themes may enhance the primary purpose (or any other purpose) of the mobile robot, as well—for a non-limiting example, a “super robot cleaner” theme might include behavioral patterns that cause the home robot to detect spots on the floor and to spend a particular proportion of cleaning time vacuuming or washing the spots discovered as a result of the theme.
User commands to initiate actions such as power on/off, start, stop or to change a cleaning mode, set a cleaning duration, program cleaning parameters such as start time and duration, and or many other user initiated commands, functions, and/or components contemplated for use with the present invention are specifically described in U.S. patent application Ser. No. 11/166,891, by Dubrovsky et al., filed on Jun. 24, 2005, entitled Remote Control Scheduler and Method for Autonomous Robotic Device, the entire disclosure of which is herein incorporated by reference its entirety.
For another example of a type of theme which encompasses a variety of behavioral, audio, visual and other types of ecletic content, a mobile robot may be themed as a chess piece, such theme to include not only distinctive body cladding (with different types possible such as “knight,” “rook,” “pawn,” etc.) and e.g., chess-themed music and sounds, but also e.g., a network behavior so as to coordinate with a central server (or possible to “swarm” with several other home robots also acting as chess pieces) so as to adopt the role of a particular piece on a chessboard, in which a user or users bring a plurality of home robots and arrange them in an environment simulating a chess board and command the home robots to move as chess pieces during a chess game; this high-level “chess” theme thus may include also the rules of chess and behaviors and movement patterns (as well as network routines and functions) of various chess pieces, as well as visual and/or audio content and the like, for example.
As illustrated by the above-discussed non-limiting examples, the content types that may be used and combined into theme packages may encompass a broad range of material, virtually as broad as the range of potential capabilities performable by the mobile robot 104, for example. The present inventors intend that the examples of associated themed content given herein can be generalized for the purposes of the invention according to their readily recognized type.
The chess and trivia game examples are examples of providing associated themed content linking at least two of a predetermined game rule set, game piece or paraphernalia set, game appearance, and game sounds.
The parrot and dog examples are examples of providing associated themed content linking at least two of a predetermined entity (i.e., animal or person) motion set, appearance, and sounds. This would extend to celebrities, so called “licensed properties” linked to well-known entertainment programs or books, characters and the like.
The ballet example is an example of providing associated themed content linking at least two of a predetermined dance move set, paraphernalia, appearance, music, and sounds.
The country-and-western example below is an example of providing associated themed content linking at least two of a musical genre move set, paraphernalia, appearance, music, and sounds.
Mobile robot users with Internet-capable personal computers, cell phones, PDAs, and other devices may also browse the home robot manufacturer's server via a web site and select themes, sounds, tones, “dances,” software, or other suitable mobile robot content for download and/or purchase. (For example, a user interested in quelling potential sources of RF interference in her home, or for conserving bandwidth for other tasks, might purchase a low-RF-noise network profile content from a manufacturer's website, for example.) The user interface presented to the user may also be customized to match the robot theme as well—that is, a theme may include multimedia content that can be manifested on the robot but also on an online interface that is associated with the robot having the theme, and with which the user interacts when using the online interface and/or the robot.
Also, users may select themed body panels, base stations, batteries, accessories, new home robots, data bridges, etc., from the web site, and have the items shipped to their home. Items such as body panels may then be ordered in bulk in blank form by the manufacturer or reseller who operates the web site, and then apply themed designs rapidly and “just-in-time” after (or before, when sales prediction analysis is properly applied) receiving an order from a home robot user.
Furthermore, themed items may be accompanied by a CD-ROM, floppy disk, “memory stick”-type data bridge, or other data medium in order to transmit the appropriate corresponding themed content to the home robot upon installation of the ordered themed item. Alternatively, the mobile robot manufacturer or reseller may omit shipping data media along with physical items, and instead offer Internet-based transmission of the corresponding themed content (via the wireless robot network data bridge, for example), or do so when orders are received from customers who the manufacturer or reseller has a record of having previously bought the network data bridge 202, for example (or when records show that the customer already has the most up-to-date version of the appropriate themed content). The mobile robot manufacturer or reseller may reduce shipping charges when it is known that the ordering customer has the ability to update the mobile robot 104 via the network data bridge 202, for example.
Moreover, by virtue of the online ordering system and manufacturer's or reseller's website, customers may be offered a variety of functional and thematic combinations for body paneling, sounds and music, “dance” routines, and indicia flash patterns (and/or one-off or single-item offerings in a “mix-‘n’-match” mode, such as a Country/Western paneling-themed robot with a rock‘n’roll “dance” routine and a classical piano sound theme, in a non-limiting example). For example, the Country/Western theme body panel 502a is linked to music content ‘A’ 510a; and the piano theme body panel 502b is linked to music content ‘B’ 510b (which would usually be piano-related). Additionally, accessory replacement and service reminders tied to usage can be contemplated—e.g., reminders to replace the batteries after a certain number of recharge cycles or hours expanded. The online service may be configured to enter a recommended replacement part (to replace a part recorded as having accumulated sufficient cycles or time to be worn according to the uploaded data) or a consumable material such as detergent, cat food, lubricant or any other such material (so augment the stock of the consumable material recorded as needing replenishment) into the user's online shopping cart or one-click purchase queue, as non-limiting examples.
Other aspects of such a website may be handled in a conventional manner, by permitting online credit card or check payment, etc. As an advantage, customers may place orders for a customized home robot with their choice of complete theme or a “mix-‘n’-match” robot (e.g., a male lion vs. a female lion) personalized to the users' own variegated tastes and styles. Moreover, by using laser printing or other modality for applying digital images and/or writing to the polymer sheet panel coverings discussed above, users may be offered the option to apply slogans, names, or any arbitrary writing and/or images to be printed on their home robots, for example.
A further example permits the user to create or record his or her own sounds or music content and to transmit this custom content to his or her home robot. In order to address licensing and unauthorized duplication concerns, the home robot manufacturer may employ a media and/or authoring software protection scheme, for example, such that only licensed copies of the authoring software will function properly and such that only content produced on a properly licensed copy of the manufacturer-provided software will correctly play back on that manufacturer's home robots, for example. As a non-limiting example, public-key encryption techniques may be applied in which each robot receives a public key known to the user (such as a serial number, for example), and a private key known only by the manufacturer. Accordingly, when a home robot user purchases a copy of the content authoring software from the manufacturer, the copy that the home robot user receives may “watermark” its output content with the encryption key such that only the particular user's home robot can pay back the output content, as a non-limiting example. Other encryption or protection schemes may be employed to allow wider or narrow distribution, as appropriate to business and license/copyright protection concerns.
As a further example, users may be offered a content subscription service in which a number of themes and/or audible or other content are made available per month or other time period to the user who purchases the subscription. As an advantage, users can be assured of the integrity of the content they download and copyright concerns can be addressed.
When the mobile robot 104 is conserving power in its dormant state 902 or charging, the RF network is inactive, meaning that no beacon is transmitted. While in this state 902, the mobile robot 104 can be woken up over RF by executing the following steps in a constant loop.
1. Turn on radio on the Common Signaling Channel (CSC).
2. Send “Activate Invite” broadcast message.
3. Listen for “Activate Request” message for up to 30 milliseconds.
4. Receive “Activate Request” message and leave Dormant state. Or, turn off radio and sleep for 970 milliseconds.
Therefore, every second the mobile robot 104 invites peripheral devices, such as the peripheral device 102, to wake it up. A peripheral wanting to wake up the mobile robot 104 will listen for a second for the “Active Invite” message and respond promptly with the “Activate Request” message which wakes up the mobile robot 104.
When the mobile robot 104 has been woken up to active scan state 904, it checks if its radio channel is still valid. If the robot sleeps for more than 10 minutes, the radio channel will be reselected. This time is chosen to safely exceed any session oriented timers. The first step in reselecting a channel is to actively scan for other RPAN masters and exclude their channels from the set of acceptable channels.
An active scan is performed by sending two “Ping” messages on the CSC to the broadcast RPAN address. The mobile robot 104 listens for 30 ms after each message for “Ping Response”. Each “Ping” message is separated by 360 ms.
After ruling out radio channels through active scanning the mobile robot 104 moves to energy scan state 906, candidate channels are scanned for energy levels in order of preference. On a given channel, 100 energy level samples are obtained in about 100 ms of time. The first channel to have an average energy level below an acceptance threshold is chosen as the new operational channel. In the unlikely event that no channels meet these criteria, one is randomly chosen.
When the mobile robot 104 is operating its RF network normally, then it is in normal state 908 and it transmits a beacon every 720 ms which is called “beacon period”. In that beacon message, a window of time following the beacon which is valid for devices to communicate is advertised. This “contention access period” is set to 220 ms in the normal mode. While not in the contention access period, the robot operates on the common channel to answer “Ping” messages with “Ping Responses” advertising the radio channel on which the robot is operating.
The motivations behind the specific beacon and contention access periods chosen are as follows: to keep beacon tracking overhead low, to keep radio power consumption low, and to allow peripherals with very inaccurate clocks to reliably find robots. This final goal is satisfied by defining one more time constant which is the “ping separation period”. If a peripheral sends two pings separated by 360 ms, the real time assuming the clock is plus or minus 30% is anywhere between 252 ms and 468 ms. On the low side, the 252 ms is sufficiently high so that both pings will not occur while the mobile robot 104 is on the operational channel. On the high side, the 468 ms is smaller than the 500 ms that the mobile robot 104 is listening on the common channel guaranteeing that one of them will be receiving during that time. There are other combinations of values that work. Also, with higher clock accuracy the contention access period duty cycle can be higher. These values can be recalculated for other systems based on those needs.
The 500 ms when the module robot 104 is operating on the common channel represent a dead time that can be unacceptable at times. One such time is when the mobile robot 104 is being driven remotely. Another is when the mobile robot 104 sensors are being monitored for diagnostic purposes. When low latency state 910 is needed, a peripheral may send a “Low Latency Request” message which contains a byte representing the number of seconds that low latency mode should be used. The low latency time can be refreshed with subsequent messages. Also, the mobile robot 104 itself may switch to low latency mode.
The slave 102 begins in a lower power consumption state 932 designated as “Free” in the state diagram 930. In this state 932, it wakes up periodically and attempts to join a robot network. It does this by setting its channel to the common signaling channel (CSC is the 5th channel). It then sends a broadcast message to ask any robots who are listening on this channel to respond. The response from a robot hearing this message advertises a network with an ID on an appropriate channel (zero based numbering). This is the same active scanning process described above. The lighthouse 102 will get 0 or more responses in the two 30 ms windows of time it listens after sending the requests. If none are received, it will go back to sleep and perform another active scan in 4 seconds. If one or more are received, it will choose to join the network of a mobile robot whose response message was received with the greatest signal strength value.
If the lighthouse 102 has ever received a Join Accept message from a robot, that robot's RPAN ID is used instead of the broadcast address in the ping message. In this way, the lighthouse 102 will not waste power waking up for a robot that is in RF range but not its owner, e.g. the neighbor's mobile robot.
If the lighthouse 102 wants to join a robot's network and does not have an assigned address, the lighthouse 102 will randomly select a MAC address (marked as “Soft” in the MAC header) to use temporarily until the robot assigns one to it.
In “Seeking” state 934, the lighthouse 102 changes channels and listens for the beacon emitted periodically by the mobile robot 104. It should pick this up within a few seconds at most. If this does not happen, a timeout (30 seconds) will send it back to the “Free” state 932.
If all goes well and the beacon is found, the lighthouse 102 will advance to “Binding” state 936. In the “Binding” state 936 and subsequent states, the lighthouse 102 will filter packets from other robots and monitor its link to the RPAN network from the MAC layer beacon tracking. These are shown in the state diagram as “Link Up” and “Link Down” events.
Upon entering this state 936, the robot will send a “join request” message. This starts a timer on the lighthouse 102 getting accepted into the network within 5 minutes. If that expires, the lighthouse 102 will return to “Free” 932. (This 5 minute time period is known to both the robot 104 and the lighthouse 102 so that each can expire their pending. Whenever the robot 104 receives a join request that causes a collision of soft MAC addresses in its table, it will send a join rejection message that does not need to be acknowledged, and the entry will not go into the table. The lighthouse 102 (and perhaps the other lighthouse with the colliding MAC address) will follow the Join Fail event on the state diagram which will result in regenerating a MAC address and trying the bind again.
When the robot 104 receives a join request message and wants to delay the binding until another handshake is performed as is the case with lighthouses, it sends a join pending message. A join pending message is needed if an acceptance or rejection will not be sent within 3500 ms.
While acceptance is pending, the lighthouse 102 will transmit a 4-bit code in the confinement beam (11) which indicates that it has not bound to the robot. When the robot 104 runs into a code 11 beam, it stops and looks at its list of lighthouses requesting bindings. For each entry, it issues a command to wink the code to 12. If that command is not acknowledged or the beam change is not seen, the lighthouse 102 is not in range, and the robot 104 moves on to the next entry in the list. If the robot 104 succeeds in seeing the beam, it sends a join accept message which moves the lighthouse 102 into Active state 938 where it obeys beam commands requested by the master. The beam command message contains the state of beams as well as the 4-bit code that should be in the beam.
While a lighthouse is in the binding state 936, it will probably lose contact with the robot 104 as it moves around a room and throughout a house. Losing the beacon for over 2 minutes returns the lighthouse 102 to the “Free” state 932 where the beams are off and power is being saved. When the robot 104 is back in range, the binding procedure is skipped since the assigned address is still valid.
After the lighthouse 102 has been bound to the robot 104, it will probably lose contact with the robot 104 as it moves around a room and throughout a house. A “Roam Recover” state is designed so that the binding process does not have to be repeated following each of these expected losses of communication. A gross timeout of 90 minutes is shown in the state diagram which puts the lighthouse back in a state where re-binding is necessary. The MAC address assigned is now considered expired.
The binding process is designed to obviate the need to assign static MAC addresses to simple devices of which there can be multiple talking to a robot at once. The assignment of addresses by the robot 104 can simply amount to cycling through a list of valid addresses. If the assigned MAC addresses are to expire some time after the bind, it greatly reduces the chance that the user could cause a configuration error.
For example, if there were a procedure the user needed to follow to assign MAC addresses to the lighthouse 102 (e.g. install the batteries, place in front of robot, and hit button sequence on robot), he might do this successfully for the two included in the initial package. If the robot 104 every forgot the last one assigned due to a code update or software problem, he might assign a conflicting address in the future if the user purchased an additional one later. Or, if the user replaces the robot 104 and then uses it to configure a new lighthouse, a conflict is very possible. Having the lighthouse MAC addresses expire tends to heal all such problems. One drawback to expiring addresses is the memories of what lighthouses the robot 104 encountered while cleaning are forgotten. These memories are potentially useful in having the robot 104 clean different rooms on different days. In either case, the age of a MAC address is specified in the “join accept” message giving the robot 104 (hence future software revisions of the robot 104) the freedom to make such decisions.
From power saving state 962, the pressing of a button triggers seeking state 934 and the search for robots on the common channel. The search is performed at a very low power setting if the RPAN ID stored in non-volatile memory is blank. Otherwise, full power is used. In this way, a robot in very close proximity will respond to an unpaired remote. The search can be described by the following loop which is executed continually until a robot is found or until the remote puts itself back to sleep due to inactivity.
1. Operate radio on CSC responding to Activate Invite messages (1 second).
2. Perform 1 active scan (360 milliseconds).
If the active scan collects responses, the remote moves to binding state 936 and the robot with the highest signal strength is selected. The remote switches to the robots channel and gets link by tracking the beacon. It then sends a ping message to itself. If it gets a response, then that means another remote control is using the group address. If no response is received, the remote is in active state 938 and is allowed to control the robot 104.
If the remote successfully communicates with the robot 104 on the operational channel, that robots RPAN ID is programmed into the remote controls non-volatile memory. The remote control communicates with the robot 104 as long as it is awake and buttons have been pressed recently (60 seconds). If the beacon is lost for over 10 seconds which is how Link Down is configured on the remote, it tried to find a robot again.
A paired remote control can be unpaired by installing the batteries with the left drive button depressed and keeping it held down for three seconds. It is then paired as part of the robot discovery algorithm described above.
Driving the robot 104 and operating its user interface remotely is accomplished by sending button states to the robot 104 and receiving LED states from the robot 104. These are updated when they change as well as at a refresh interval. In this way, the remote can be thought of as a dumb terminal.
The following describes the design of RF communications system for a robot system, such as the robot systems 100 and 200. The communications system performs the following actions: wake to RF for lighthouses and robots, remote control and lighthouse beam control commands, low power consumes a low amount of power, occupies a small RAM/ROM footprint, code and sound download, coexists with common interferers found in such environments, coexists with other robot systems in proximity as will be common in the mobile robot 104 development labs and some home environments, provides a simple growth path at each layer of the networking hierarchy.
The RF communications stack to be used on the robot systems 100 and 200 is discussed in a layer oriented approach starting from lowest and ending with the highest. The approach is based on the seven layer Open Systems Interconnection (OSI) Reference Model.
The physical layer uses the 2.4 GHz direct sequence spread spectrum (DSSS) modem as is specified in IEEE 802.15.4. The physical layer supports the following features: 16 available channels; energy detection (ED) provided on demand; clear channel assessment (CCA) using energy, carrier sense or both; and link quality indication (LQI) provided with packet reception.
The MAC layer provides the ability for a device to transmit broadcast and uni-cast messages to other devices within radio range. This does not preclude any topology from being supported in the future. However, layers about this MAC layer will impose restrictions. The MAC layer supports the following features: single master and multiple slaves, master sends beacon containing the beacon period and active period which allows a slave device to track the beacon knowing when to listen and when to save power, slave tracks beacon to establish link status, master can be told by higher layers to listen on the network establishment channel during idle periods of the beacon, a 16-bit Robot Personal Area Network Identifier (RPAN ID) to allow devices to filter packets not on the robot network of interest when channel is shared, group identifier in addresses include allow broadcast to specific device types and obviate need for unique MAC addresses for many types of peripherals, collision avoidance algorithm using CCA and random back-off, and reliability through acknowledge requests and automatic retry.
Including acknowledgement in the MAC layer was done for the IEEE 802.15.4. This may bring the MAC layer up to par with wired media such as half duplex Ethernet where collision detection can be used to give the sender a high level of confidence that the packet arrived at the destination. Network layer acknowledgement schemes may be needed when bridges and routers between the sender and receiver have the potential to drop packets due to resource constraints. Either MAC layer or network layer acknowledgement can be made to suit the needs of this network.
The MAC layer acknowledge is time sensitive since there is no addressing information contained in the packet. If the acknowledgement is sent very quickly, it is unlikely to collide with a new data packet or be confused as an acknowledgement to the new data packet. The sequence number reduces the chances of processing the wrong ACK.
An acknowledgement at the network layer is not as time sensitive since the packet contains addressing information. However, more time is wasted sending this extra information and the latency is worse as information is passed between layers. More state information is potentially needed to remember which packets have not been acknowledged unless head of line blocking is used.
Avoiding time critical processing of packets is not desirable, but there may be situations in which it is used. If another robot or an IEEE 802.15.4 device is operating on the same channel, the receiver may need to promptly parse and discard a valid packet not intended for it. To the extent it delays, it risks not listening when a packet intended for it is received. After factoring this in, it may be appropriate to include the ACK and retry feature at the MAC layer and take steps to mitigate the imposed real time constraints.
Again, an acknowledgement scheme implemented at the MAC or network layers can be made to work. If the MAC layer proves problematic, due to any of the concerns expressed above, the acknowledgment scheme can be implemented at the network layer.
The network layer is responsible for establishing membership in a network. The role of a master device and a slave device are different at this layer. The network layer supports the following slave features: network discovery using low power active scanning on common channel, can issue requests to join a network using a temporary random MAC address, and can participate in a network without any joining transaction if MAC address is known. The network layer supports the following master features: channel selection when network is started based on best available channel, and management of join requests sent on the common channel including assignment of MAC addresses to slaves using temporary ones.
The 16 available channels are discussed in a zero based manner (0-15). Channel 4 does not get 802.11b interference in the USA or Europe. As such, it is chosen as the common signaling channel used for network joining procedures.
The defined MAC layer draws on IEEE 802.15.4. Some concepts borrowed include the CSMA-CD algorithm, the reliability feature, and the beacon concept to some extent. The PAN coordination features are replaced with a method more targeted to the more limited needs of the higher layers.
The MAC layer is based on the presence of a master who generates beacons which define a period of active communications during which any device can talk to a device. Slave devices track this beacon to determine if the robot is present and when it can save power. The mobile robot 104 is the master device and is responsible for transmitting the beacon and managing slave devices. Slave devices track the beacon of the master so they know when they should listen for the next beacon, when they can communicate with other devices, and when they should turn off their RF modems to save power.
The MAC layer header includes a field designed to conflict with the IEEE 802.15.4 frame type field so that such a MAC device should reject it as an invalid frame type, and is otherwise designed to allow multiple RPANs to share a single channel. The RPAN ID field is in a fixed location in the packet, so a receiver can filter on a particular RPAN much like a Virtual LAN (VLAN) in Ethernet.
Beacons are transmitted by a master at periodic intervals. One reason is to imbed information about when the slave devices should expect to exchange messages with the master. This duty cycle control allows some level of power saving even during active operational modes. The second reason for transmitting beacons is to provide a constant status on the proximity of the robot. The goal is to unburden application layer software from doing this task.
A beacon is sent periodically as specified by the Beacon Period which is specified in the beacon itself. So, a slave receiving a beacon knows when to expect the next one. An Access Period is specified in the beacon, as well. This dictates the period of time during which the master will be active on the channel. Slaves should pay attention during this time and may shut down their receivers at other times. The sequence number in the beacon allows the slave to detect one or more missing beacons.
When a master specifies a small active period relative to the beacon period, it gives it the opportunity to spend the idle time listening on the CSC to admit new peripherals into the network. As such, the beacon periods may be set in a manner related to the period that peripherals use to wake up and try to join a network.
A typical beacon period may be on the order of a second. The jitter of the beacon message is relatively high considering the random nature of the back-off algorithm. Also, the slaves should not be burdened with having to manage events with a high level of temporal precision. Subject to the clocking requirements discussed later, the slave should define a “beacon window” which is a time period centered on the next expected time a beacon will be received. The slave should listen for the beacon during this window. The window ends when the expected beacon is received, ideally. If no beacon is received, the window ends, but the slave operates during the access period as if it received one. When a beacon is missed in this way, the window is lengthened for the next beacon since clock inaccuracies add. Once too many beacons have been missed, a loss of beacon is declared and the slave just listens constantly until it reacquires it. The loss of beacon condition is analogous in the Ethernet world to losing link. The master transmits beacons with a time accuracy of less than 0.1%.
The MAC engine is based on a 250 microsecond process tick in order to simplify the management of state timers and avoid busy waiting. It should be a design goal of the implementation to insure that the processing in a single tick never exceeds 125 microseconds in order to leave plenty of processor available for other more critical tasks. In 250 microseconds, 7.8 characters can be transmitted at the fixed baud rate of 250 kbps. Including the preamble and PHY header, the smallest possible packet is 8 characters long. This means that two CCA functions performed in consecutive ticks will almost certainly detect an ACK in flight.
The collision avoidance algorithm is invoked whenever there is a packet ready to transmit. The transmitter will delay a random number of back-off periods before running the CCA function. On the tick where the CCA function has completed, the transmitter will start sending if the CCA returned saying that the channel is clear.
The dead time between a packet reception ending and an ACK starting is between one and two ticks. So, a CCA function that does its best to prevent stepping on the ACK is one which performs two CCA measurements spaced a tick apart and declaring the channel clear if both pass. The back-off period is designed to be longer than the transmission time of a small packet such as an ACK, so two ticks is chosen.
If a data frame is received with acknowledgement requested with a matching destination address, the receiver prepares to send an acknowledge packet provided that it will be able to pass the buffer along to the application. The receiver waits one tick to give the sender time to switch its transceiver into receive mode, then transmits an acknowledgement which is the first 2 bytes of the MAC header echoed with the frame type changed to an the ACK value. The sender expecting an ACK will wait for up to five ticks (1.25 ms) to receive the reply before retrying the transmission. Up to three retries are performed. If an acknowledgement is requested, the sender should postpone sending the packet if there is not enough time remaining in the current active period for the receiver to send the acknowledgement.
Data payloads in the network begin with the Transport Header which consists of a byte specifying the Service Access Point (SAP). This multiplexes different types of services onto the same device address. Previously, this has been accomplished using the “opcodes”.
Device Control, Device Status Request, and Device Status SAPs are related in that the payload messages use the same code points on a per device basis. That is to say that devices will have a published set of control and status information elements consisting of an element code followed by a known number of element payload bytes. If controllable over RF, the Device Control SAP is used to set values. Controllable and observable items can be queried with a Device Status Request. The actual status is delivered using the Device Status SAP whether solicited, i.e. requested over the Device Status Request SAP, or unsolicited, i.e. sent spontaneously. Alarms and other indications may be delivered in this way.
The reason to use multiple SAP codes for this related functionality is that it may a major portion of the overall RF traffic. As such, the smaller the packets can be made, the more reliable the transmission. So, for critical control and status messages, having a two byte header <Device_SAP><Control_Cmd> or <Device_SAP><Status_Cmd> keeps the PHY and MAC headers as small as possible.
“ROBOT OBSTACLE DETECTION SYSTEM”, U.S. Pat. No. 6,594,844, disclosing proximity sensors such as cliff sensors and wall following sensors; “AUTONOMOUS FLOOR-CLEANING ROBOT”, U.S. Pat. No. 6,883,201, disclosing a general structure of an iRobot Roomba coverage/cleaning robot and main and edge cleaning heads in detail: “METHOD AND SYSTEM FOR MULTI-MODE COVERAGE FOR AN AUTONOMOUS ROBOT”, U.S. Pat. No. 6,809,490, disclosing motion control and coverage behaviors, including escape behaviors, selected by an arbiter according to the principles of behavior based robotics; and “METHOD AND SYSTEM FOR ROBOT LOCALIZATION AND CONFINEMENT”, U.S. Pat. No. 6,781,338, disclosing virtual walls, i.e. robot confinement using wall-simulating directed beams, are each incorporated by reference herein in their entireties.
Other robot details and features combinable with those described herein may be found in the following U.S. patent applications filed concurrently herewith, entitled “AUTONOMOUS COVERAGE ROBOT NAVIGATION SYSTEM” having assigned Ser. No. 11/633,869; “MODULAR ROBOT” having assigned Ser. No. 11/633,886; and “COVERAGE ROBOT MOBILITY” having assigned Ser. No. 11/633,885, the entire contents of the aforementioned applications are hereby incorporated by reference.
A number of implementations have been described. Nevertheless, it will be understood that various modifications may be made without departing from the spirit and scope of the following claims. Accordingly, other implementations are within the scope of the following claims.
This application is a continuation of U.S. application Ser. No. 14/275,355, filed May 12, 2014, which claims priority to U.S. application Ser. No. 13/893,905, filed May 14, 2013, which claims priority to U.S. application Ser. No. 12/959,879, filed Dec. 3, 2010, which claims priority to U.S. application Ser. No. 11/633,883, filed on Dec. 4, 2006, which claims priority under 35 U.S.C. 119(e) to a U.S. provisional patent application filed on Dec. 2, 2005, entitled “ROBOT NETWORKING, THEMING AND COMMUNICATION SYSTEM” and having assigned Ser. No. 60/741,442, the entire contents of which are hereby incorporated by reference.
| Number | Name | Date | Kind |
|---|---|---|---|
| 1755054 | Darst | Apr 1930 | A |
| 1780221 | Buchmann | Nov 1930 | A |
| 1970302 | Gerhardt | Aug 1934 | A |
| 2136324 | John | Nov 1938 | A |
| 2302111 | Dow et al. | Nov 1942 | A |
| 2353621 | Sav et al. | Jul 1944 | A |
| 2770825 | Pullen | Nov 1956 | A |
| 2930055 | Fallen et al. | Mar 1960 | A |
| 3119369 | Harland et al. | Jan 1964 | A |
| 3166138 | Dunn | Jan 1965 | A |
| 3333564 | Waters | Aug 1967 | A |
| 3375375 | Robert et al. | Mar 1968 | A |
| 3381652 | Schaefer et al. | May 1968 | A |
| 3457575 | Bienek | Jul 1969 | A |
| 3550714 | Bellinger | Dec 1970 | A |
| 3569727 | Aggarwal et al. | Mar 1971 | A |
| 3649981 | Woodworth | Mar 1972 | A |
| 3674316 | De Bray | Jul 1972 | A |
| 3678882 | Kinsella | Jul 1972 | A |
| 3690559 | Rudloff | Sep 1972 | A |
| 3744586 | Leinauer | Jul 1973 | A |
| 3756667 | Bombardier et al. | Sep 1973 | A |
| 3809004 | Leonheart | May 1974 | A |
| 3816004 | Bignardi | Jun 1974 | A |
| 3845831 | James | Nov 1974 | A |
| RE28268 | Autrand | Dec 1974 | E |
| 3851349 | Lowder | Dec 1974 | A |
| 3853086 | Asplund | Dec 1974 | A |
| 3863285 | Hukuba | Feb 1975 | A |
| 3888181 | Kups | Jun 1975 | A |
| 3937174 | Haaga | Feb 1976 | A |
| 3952361 | Wilkins | Apr 1976 | A |
| 3989311 | Debrey | Nov 1976 | A |
| 3989931 | Phillips | Nov 1976 | A |
| 4004313 | Capra | Jan 1977 | A |
| 4012681 | Finger et al. | Mar 1977 | A |
| 4070170 | Leinfelt | Jan 1978 | A |
| 4099284 | Shinozaki et al. | Jul 1978 | A |
| 4119900 | Kremnitz | Oct 1978 | A |
| 4175589 | Nakamura et al. | Nov 1979 | A |
| 4175892 | De bray | Nov 1979 | A |
| 4196727 | Verkaart et al. | Apr 1980 | A |
| 4198727 | Farmer | Apr 1980 | A |
| 4199838 | Simonsson | Apr 1980 | A |
| 4209254 | Reymond et al. | Jun 1980 | A |
| D258901 | Keyworth | Apr 1981 | S |
| 4297578 | Carter | Oct 1981 | A |
| 4305234 | Pichelman | Dec 1981 | A |
| 4306329 | Yokoi | Dec 1981 | A |
| 4309758 | Halsall et al. | Jan 1982 | A |
| 4328545 | Halsall et al. | May 1982 | A |
| 4367403 | Miller | Jan 1983 | A |
| 4369543 | Chen et al. | Jan 1983 | A |
| 4401909 | Gorsek | Aug 1983 | A |
| 4416033 | Specht | Nov 1983 | A |
| 4445245 | Lu | May 1984 | A |
| 4465370 | Yuasa et al. | Aug 1984 | A |
| 4477998 | You | Oct 1984 | A |
| 4481692 | Kurz | Nov 1984 | A |
| 4482960 | Pryor | Nov 1984 | A |
| 4492058 | Goldfarb et al. | Jan 1985 | A |
| 4513469 | Godfrey et al. | Apr 1985 | A |
| D278732 | Ohkado | May 1985 | S |
| 4518437 | Sommer | May 1985 | A |
| 4534637 | Suzuki et al. | Aug 1985 | A |
| 4556313 | Miller et al. | Dec 1985 | A |
| 4575211 | Matsumura et al. | Mar 1986 | A |
| 4580311 | Kurz | Apr 1986 | A |
| 4601082 | Kurz | Jul 1986 | A |
| 4618213 | Chen | Oct 1986 | A |
| 4620285 | Perdue | Oct 1986 | A |
| 4624026 | Olson et al. | Nov 1986 | A |
| 4626995 | Lofgren et al. | Dec 1986 | A |
| 4628454 | Ito | Dec 1986 | A |
| 4638445 | Mattaboni | Jan 1987 | A |
| 4644156 | Takahashi et al. | Feb 1987 | A |
| 4649504 | Krouglicof et al. | Mar 1987 | A |
| 4652917 | Miller | Mar 1987 | A |
| 4654492 | Koerner et al. | Mar 1987 | A |
| 4654924 | Getz et al. | Apr 1987 | A |
| 4660969 | Sorimachi et al. | Apr 1987 | A |
| 4662854 | Fang | May 1987 | A |
| 4674048 | Okumura | Jun 1987 | A |
| 4679152 | Perdue | Jul 1987 | A |
| 4680827 | Hummel | Jul 1987 | A |
| 4696074 | Cavalli | Sep 1987 | A |
| D292223 | Trumbull | Oct 1987 | S |
| 4700301 | Dyke | Oct 1987 | A |
| 4700427 | Knepper | Oct 1987 | A |
| 4703820 | Reinaud | Nov 1987 | A |
| 4709773 | Clement et al. | Dec 1987 | A |
| 4710020 | Maddox et al. | Dec 1987 | A |
| 4712740 | Duncan et al. | Dec 1987 | A |
| 4716621 | Zoni | Jan 1988 | A |
| 4728801 | O'Connor | Mar 1988 | A |
| 4733343 | Yoneda et al. | Mar 1988 | A |
| 4733430 | Westergren | Mar 1988 | A |
| 4733431 | Martin | Mar 1988 | A |
| 4735136 | Lee et al. | Apr 1988 | A |
| 4735138 | Gawler et al. | Apr 1988 | A |
| 4748336 | Fujie et al. | May 1988 | A |
| 4748833 | Nagasawa | Jun 1988 | A |
| 4756049 | Uehara | Jul 1988 | A |
| 4767213 | Hummel | Aug 1988 | A |
| 4769700 | Pryor | Sep 1988 | A |
| 4777416 | George et al. | Oct 1988 | A |
| D298766 | Tanno et al. | Nov 1988 | S |
| 4782550 | Jacobs | Nov 1988 | A |
| 4796198 | Boultinghouse et al. | Jan 1989 | A |
| 4806751 | Abe et al. | Feb 1989 | A |
| 4811228 | Hyyppa | Mar 1989 | A |
| 4813906 | Matsuyama et al. | Mar 1989 | A |
| 4815157 | Tsuchiya | Mar 1989 | A |
| 4817000 | Eberhardt | Mar 1989 | A |
| 4818875 | Weiner | Apr 1989 | A |
| 4829442 | Kadonoff et al. | May 1989 | A |
| 4829626 | Harkonen et al. | May 1989 | A |
| 4832098 | Palinkas et al. | May 1989 | A |
| 4851661 | Everett | Jul 1989 | A |
| 4854000 | Takimoto | Aug 1989 | A |
| 4854006 | Nishimura et al. | Aug 1989 | A |
| 4855915 | Dallaire | Aug 1989 | A |
| 4857912 | Everett et al. | Aug 1989 | A |
| 4858132 | Holmquist | Aug 1989 | A |
| 4867570 | Sorimachi et al. | Sep 1989 | A |
| 4880474 | Koharagi et al. | Nov 1989 | A |
| 4887415 | Martin | Dec 1989 | A |
| 4891762 | Chotiros | Jan 1990 | A |
| 4893025 | Lee | Jan 1990 | A |
| 4901394 | Nakamura et al. | Feb 1990 | A |
| 4905151 | Weiman et al. | Feb 1990 | A |
| 4909972 | Britz | Mar 1990 | A |
| 4912643 | Beirne | Mar 1990 | A |
| 4918441 | Bohman | Apr 1990 | A |
| 4919224 | Shyu et al. | Apr 1990 | A |
| 4919489 | Kopsco | Apr 1990 | A |
| 4920060 | Parrent et al. | Apr 1990 | A |
| 4920605 | Takashima | May 1990 | A |
| 4933864 | Evans et al. | Jun 1990 | A |
| 4937912 | Kurz | Jul 1990 | A |
| 4953253 | Fukuda et al. | Sep 1990 | A |
| 4954962 | Evans et al. | Sep 1990 | A |
| 4955714 | Stotler et al. | Sep 1990 | A |
| 4956891 | Wulff | Sep 1990 | A |
| 4961303 | McCarty et al. | Oct 1990 | A |
| 4961304 | Ovsborn et al. | Oct 1990 | A |
| 4962453 | Pong et al. | Oct 1990 | A |
| 4967862 | Pong et al. | Nov 1990 | A |
| 4971591 | Raviv et al. | Nov 1990 | A |
| 4973912 | Kaminski et al. | Nov 1990 | A |
| 4974283 | Holsten et al. | Dec 1990 | A |
| 4977618 | Allen | Dec 1990 | A |
| 4977639 | Takahashi et al. | Dec 1990 | A |
| 4986663 | Cecchi et al. | Jan 1991 | A |
| 5001635 | Yasutomi et al. | Mar 1991 | A |
| 5002145 | Wakaumi et al. | Mar 1991 | A |
| 5012886 | Jonas et al. | May 1991 | A |
| 5018240 | Holman | May 1991 | A |
| 5020186 | Lessig et al. | Jun 1991 | A |
| 5022812 | Coughlan et al. | Jun 1991 | A |
| 5023788 | Kitazume et al. | Jun 1991 | A |
| 5024529 | Svetkoff et al. | Jun 1991 | A |
| D318500 | Malewicki et al. | Jul 1991 | S |
| 5032775 | Mizuno et al. | Jul 1991 | A |
| 5033151 | Kraft et al. | Jul 1991 | A |
| 5033291 | Podoloff et al. | Jul 1991 | A |
| 5040116 | Evans et al. | Aug 1991 | A |
| 5045769 | Everett | Sep 1991 | A |
| 5049802 | Mintus et al. | Sep 1991 | A |
| 5051906 | Evans et al. | Sep 1991 | A |
| 5062819 | Mallory | Nov 1991 | A |
| 5070567 | Holland | Dec 1991 | A |
| 5084934 | Lessig et al. | Feb 1992 | A |
| 5086535 | Grossmeyer et al. | Feb 1992 | A |
| 5090321 | Abouav | Feb 1992 | A |
| 5093955 | Blehert et al. | Mar 1992 | A |
| 5094311 | Akeel | Mar 1992 | A |
| 5098262 | Wecker et al. | Mar 1992 | A |
| 5105502 | Takashima | Apr 1992 | A |
| 5105550 | Shenoha | Apr 1992 | A |
| 5109566 | Kobayashi et al. | May 1992 | A |
| 5111401 | Everett, Jr. et al. | May 1992 | A |
| 5115538 | Cochran et al. | May 1992 | A |
| 5127128 | Lee | Jul 1992 | A |
| 5136675 | Hodson | Aug 1992 | A |
| 5136750 | Takashima et al. | Aug 1992 | A |
| 5142985 | Stearns et al. | Sep 1992 | A |
| 5144471 | Takanashi et al. | Sep 1992 | A |
| 5144714 | Mori et al. | Sep 1992 | A |
| 5144715 | Matsuyo et al. | Sep 1992 | A |
| 5152028 | Hirano | Oct 1992 | A |
| 5152202 | Strauss | Oct 1992 | A |
| 5154617 | Suman et al. | Oct 1992 | A |
| 5155684 | Burke et al. | Oct 1992 | A |
| 5163202 | Kawakami et al. | Nov 1992 | A |
| 5163320 | Goshima et al. | Nov 1992 | A |
| 5164579 | Pryor et al. | Nov 1992 | A |
| 5165064 | Mattaboni | Nov 1992 | A |
| 5170352 | McTamaney et al. | Dec 1992 | A |
| 5173881 | Sindle | Dec 1992 | A |
| 5182833 | Yamaguchi et al. | Feb 1993 | A |
| 5187662 | Kamimura et al. | Feb 1993 | A |
| 5202742 | Frank et al. | Apr 1993 | A |
| 5204814 | Noonan et al. | Apr 1993 | A |
| 5206500 | Decker et al. | Apr 1993 | A |
| 5208521 | Aoyama | May 1993 | A |
| 5216777 | Moro et al. | Jun 1993 | A |
| 5222786 | Sovis et al. | Jun 1993 | A |
| 5227985 | DeMenthon | Jul 1993 | A |
| 5233682 | Abe et al. | Aug 1993 | A |
| 5239720 | Wood et al. | Aug 1993 | A |
| 5251358 | Moro et al. | Oct 1993 | A |
| 5261139 | Lewis | Nov 1993 | A |
| 5276618 | Everett | Jan 1994 | A |
| 5276939 | Uenishi | Jan 1994 | A |
| 5277064 | Knigga et al. | Jan 1994 | A |
| 5279672 | Betker et al. | Jan 1994 | A |
| 5284452 | Corona | Feb 1994 | A |
| 5284522 | Kobayashi et al. | Feb 1994 | A |
| 5293955 | Lee | Mar 1994 | A |
| D345707 | Alister | Apr 1994 | S |
| 5303448 | Hennessey et al. | Apr 1994 | A |
| 5307273 | Oh et al. | Apr 1994 | A |
| 5309592 | Hiratsuka | May 1994 | A |
| 5310379 | Hippely et al. | May 1994 | A |
| 5315227 | Pierson et al. | May 1994 | A |
| 5319827 | Yang | Jun 1994 | A |
| 5319828 | Waldhauser et al. | Jun 1994 | A |
| 5321614 | Ashworth | Jun 1994 | A |
| 5323483 | Baeg | Jun 1994 | A |
| 5324948 | Dudar et al. | Jun 1994 | A |
| 5331713 | Tipton | Jul 1994 | A |
| 5341186 | Kato | Aug 1994 | A |
| 5341540 | Soupert et al. | Aug 1994 | A |
| 5341549 | Wirtz et al. | Aug 1994 | A |
| 5345649 | Whitlow | Sep 1994 | A |
| 5352901 | Poorman | Oct 1994 | A |
| 5353224 | Lee et al. | Oct 1994 | A |
| 5363305 | Cox et al. | Nov 1994 | A |
| 5363935 | Schempf et al. | Nov 1994 | A |
| 5369347 | Yoo | Nov 1994 | A |
| 5369838 | Wood et al. | Dec 1994 | A |
| 5386862 | Glover et al. | Feb 1995 | A |
| 5399951 | Lavallee et al. | Mar 1995 | A |
| 5400244 | Watanabe et al. | Mar 1995 | A |
| 5404612 | Ishikawa | Apr 1995 | A |
| 5410479 | Coker | Apr 1995 | A |
| 5432907 | Picazo et al. | Jul 1995 | A |
| 5435405 | Schempf et al. | Jul 1995 | A |
| 5440216 | Kim | Aug 1995 | A |
| 5442358 | Keeler et al. | Aug 1995 | A |
| 5444965 | Colens | Aug 1995 | A |
| 5446356 | Kim | Aug 1995 | A |
| 5446445 | Bloomfield et al. | Aug 1995 | A |
| 5451135 | Schempf et al. | Sep 1995 | A |
| 5454129 | Kell | Oct 1995 | A |
| 5455982 | Armstrong et al. | Oct 1995 | A |
| 5465525 | Mifune et al. | Nov 1995 | A |
| 5465619 | Sotack et al. | Nov 1995 | A |
| 5467273 | Faibish et al. | Nov 1995 | A |
| 5471560 | Allard et al. | Nov 1995 | A |
| 5491670 | Weber | Feb 1996 | A |
| 5497529 | Boesi | Mar 1996 | A |
| 5498948 | Bruni et al. | Mar 1996 | A |
| 5502638 | Takenaka | Mar 1996 | A |
| 5505072 | Oreper | Apr 1996 | A |
| 5507067 | Hoekstra et al. | Apr 1996 | A |
| 5510893 | Suzuki | Apr 1996 | A |
| 5511147 | Abdel | Apr 1996 | A |
| 5515572 | Hoekstra et al. | May 1996 | A |
| 5534762 | Kim | Jul 1996 | A |
| 5535476 | Kresse et al. | Jul 1996 | A |
| 5537017 | Feiten et al. | Jul 1996 | A |
| 5537711 | Tseng | Jul 1996 | A |
| 5539953 | Kurz | Jul 1996 | A |
| 5542146 | Hoekstra et al. | Aug 1996 | A |
| 5542148 | Young | Aug 1996 | A |
| 5546631 | Chambon | Aug 1996 | A |
| 5548511 | Bancroft | Aug 1996 | A |
| 5548649 | Jacobson | Aug 1996 | A |
| 5551119 | Wörwag | Sep 1996 | A |
| 5551525 | Pack et al. | Sep 1996 | A |
| 5553349 | Kilstrom et al. | Sep 1996 | A |
| 5555587 | Guha | Sep 1996 | A |
| 5560077 | Crotchett | Oct 1996 | A |
| 5568589 | Hwang | Oct 1996 | A |
| D375592 | Ljunggren | Nov 1996 | S |
| 5608306 | Rybeck et al. | Mar 1997 | A |
| 5608894 | Kawakami et al. | Mar 1997 | A |
| 5608944 | Gordon | Mar 1997 | A |
| 5610488 | Miyazawa | Mar 1997 | A |
| 5611106 | Wulff | Mar 1997 | A |
| 5611108 | Knowlton et al. | Mar 1997 | A |
| 5613261 | Kawakami et al. | Mar 1997 | A |
| 5613269 | Miwa | Mar 1997 | A |
| 5621291 | Lee | Apr 1997 | A |
| 5622236 | Azumi et al. | Apr 1997 | A |
| 5634237 | Paranjpe | Jun 1997 | A |
| 5634239 | Tuvin et al. | Jun 1997 | A |
| 5636402 | Kubo et al. | Jun 1997 | A |
| 5642299 | Hardin et al. | Jun 1997 | A |
| 5646494 | Han | Jul 1997 | A |
| 5647554 | Ikegami et al. | Jul 1997 | A |
| 5650702 | Azumi | Jul 1997 | A |
| 5652489 | Kawakami | Jul 1997 | A |
| 5682313 | Edlund et al. | Oct 1997 | A |
| 5682839 | Grimsley et al. | Nov 1997 | A |
| 5696675 | Nakamura et al. | Dec 1997 | A |
| 5698861 | Oh | Dec 1997 | A |
| 5709007 | Chiang | Jan 1998 | A |
| 5710506 | Broell et al. | Jan 1998 | A |
| 5714119 | Kawagoe et al. | Feb 1998 | A |
| 5717169 | Liang et al. | Feb 1998 | A |
| 5717484 | Hamaguchi et al. | Feb 1998 | A |
| 5720077 | Nakamura et al. | Feb 1998 | A |
| 5732401 | Conway | Mar 1998 | A |
| 5735017 | Barnes et al. | Apr 1998 | A |
| 5735959 | Kubo et al. | Apr 1998 | A |
| 5742975 | Knowlton et al. | Apr 1998 | A |
| 5745235 | Vercammen et al. | Apr 1998 | A |
| 5752871 | Tsuzuki | May 1998 | A |
| 5756904 | Oreper et al. | May 1998 | A |
| 5761762 | Kubo | Jun 1998 | A |
| 5764888 | Bolan et al. | Jun 1998 | A |
| 5767437 | Rogers | Jun 1998 | A |
| 5767960 | Orman | Jun 1998 | A |
| 5770936 | Hirai et al. | Jun 1998 | A |
| 5777596 | Herbert | Jul 1998 | A |
| 5778486 | Kim | Jul 1998 | A |
| 5781697 | Jeong | Jul 1998 | A |
| 5781960 | Kilstrom et al. | Jul 1998 | A |
| 5784755 | Karr et al. | Jul 1998 | A |
| 5786602 | Pryor et al. | Jul 1998 | A |
| 5787545 | Colens | Aug 1998 | A |
| 5793900 | Nourbakhsh et al. | Aug 1998 | A |
| 5794297 | Muta | Aug 1998 | A |
| 5796742 | Klotzbach et al. | Aug 1998 | A |
| 5802665 | Knowlton et al. | Sep 1998 | A |
| 5812267 | Everett et al. | Sep 1998 | A |
| 5814808 | Takada et al. | Sep 1998 | A |
| 5815880 | Nakanishi | Oct 1998 | A |
| 5815884 | Imamura et al. | Oct 1998 | A |
| 5819008 | Asama et al. | Oct 1998 | A |
| 5819360 | Fujii | Oct 1998 | A |
| 5819936 | Saveliev et al. | Oct 1998 | A |
| 5820821 | Kawagoe et al. | Oct 1998 | A |
| 5821730 | Drapkin | Oct 1998 | A |
| 5825981 | Matsuda | Oct 1998 | A |
| 5828770 | Leis et al. | Oct 1998 | A |
| 5831597 | West et al. | Nov 1998 | A |
| 5836045 | Anthony et al. | Nov 1998 | A |
| 5839156 | Park et al. | Nov 1998 | A |
| 5839532 | Yoshiji et al. | Nov 1998 | A |
| 5841259 | Kim et al. | Nov 1998 | A |
| 5867800 | Leif | Feb 1999 | A |
| 5867861 | Kasen et al. | Feb 1999 | A |
| 5869910 | Colens | Feb 1999 | A |
| 5894621 | Kubo | Apr 1999 | A |
| 5896611 | Haaga | Apr 1999 | A |
| 5903124 | Kawakami | May 1999 | A |
| 5905209 | Oreper | May 1999 | A |
| 5907886 | Buscher | Jun 1999 | A |
| 5910700 | Crotzer | Jun 1999 | A |
| 5911260 | Suzuki | Jun 1999 | A |
| 5916008 | Wong | Jun 1999 | A |
| 5924167 | Wright et al. | Jul 1999 | A |
| 5926909 | McGee | Jul 1999 | A |
| 5933102 | Miller et al. | Aug 1999 | A |
| 5933913 | Wright et al. | Aug 1999 | A |
| 5935179 | Kleiner et al. | Aug 1999 | A |
| 5935333 | Davis | Aug 1999 | A |
| 5940346 | Sadowsky et al. | Aug 1999 | A |
| 5940927 | Haegermarck et al. | Aug 1999 | A |
| 5940930 | Oh et al. | Aug 1999 | A |
| 5942869 | Katou et al. | Aug 1999 | A |
| 5943730 | Boomgaarden | Aug 1999 | A |
| 5943733 | Tagliaferri | Aug 1999 | A |
| 5943933 | Evans et al. | Aug 1999 | A |
| 5947225 | Kawakami et al. | Sep 1999 | A |
| 5950408 | Schaedler | Sep 1999 | A |
| 5959423 | Nakanishi et al. | Sep 1999 | A |
| 5968281 | Wright et al. | Oct 1999 | A |
| 5974348 | Rocks | Oct 1999 | A |
| 5974365 | Mitchell | Oct 1999 | A |
| 5983448 | Wright et al. | Nov 1999 | A |
| 5984880 | Lander et al. | Nov 1999 | A |
| 5987383 | Keller et al. | Nov 1999 | A |
| 5989700 | Krivopal | Nov 1999 | A |
| 5991951 | Kubo et al. | Nov 1999 | A |
| 5995883 | Nishikado | Nov 1999 | A |
| 5995884 | Allen et al. | Nov 1999 | A |
| 5996167 | Close | Dec 1999 | A |
| 5998953 | Nakamura et al. | Dec 1999 | A |
| 5998971 | Corbridge | Dec 1999 | A |
| 6000088 | Wright et al. | Dec 1999 | A |
| 6006275 | Picazo et al. | Dec 1999 | A |
| 6009358 | Angott et al. | Dec 1999 | A |
| 6012618 | Matsuo et al. | Jan 2000 | A |
| 6021545 | Delgado et al. | Feb 2000 | A |
| 6023813 | Thatcher et al. | Feb 2000 | A |
| 6023814 | Imamura | Feb 2000 | A |
| 6025687 | Himeda et al. | Feb 2000 | A |
| 6026539 | Mouw et al. | Feb 2000 | A |
| 6030464 | Azevedo | Feb 2000 | A |
| 6030465 | Marcussen et al. | Feb 2000 | A |
| 6032327 | Oka et al. | Mar 2000 | A |
| 6032542 | Warnick et al. | Mar 2000 | A |
| 6036572 | Sze | Mar 2000 | A |
| 6038501 | Kawakami | Mar 2000 | A |
| 6040669 | Hog | Mar 2000 | A |
| 6041471 | Charky et al. | Mar 2000 | A |
| 6041472 | Kasen et al. | Mar 2000 | A |
| 6046800 | Ohtomo et al. | Apr 2000 | A |
| 6049620 | Dickinson et al. | Apr 2000 | A |
| 6050648 | Keleny | Apr 2000 | A |
| 6052821 | Chouly et al. | Apr 2000 | A |
| 6055042 | Sarangapani | Apr 2000 | A |
| 6055702 | Imamura et al. | May 2000 | A |
| 6061868 | Moritsch et al. | May 2000 | A |
| 6065182 | Wright et al. | May 2000 | A |
| 6070290 | Schwarze et al. | Jun 2000 | A |
| 6073432 | Schaedler | Jun 2000 | A |
| 6076025 | Ueno et al. | Jun 2000 | A |
| 6076026 | Jambhekar et al. | Jun 2000 | A |
| 6076226 | Reed | Jun 2000 | A |
| 6076227 | Schallig et al. | Jun 2000 | A |
| 6081257 | Zeller | Jun 2000 | A |
| 6088020 | Mor | Jul 2000 | A |
| 6094775 | Behmer | Aug 2000 | A |
| 6099091 | Campbell | Aug 2000 | A |
| 6101670 | Song | Aug 2000 | A |
| 6101671 | Wright et al. | Aug 2000 | A |
| 6108031 | King et al. | Aug 2000 | A |
| 6108067 | Okamoto | Aug 2000 | A |
| 6108076 | Hanseder | Aug 2000 | A |
| 6108269 | Kabel | Aug 2000 | A |
| 6108597 | Kirchner et al. | Aug 2000 | A |
| 6108859 | Burgoon | Aug 2000 | A |
| 6112143 | Allen et al. | Aug 2000 | A |
| 6112996 | Matsuo | Sep 2000 | A |
| 6119057 | Kawagoe | Sep 2000 | A |
| 6122798 | Kobayashi et al. | Sep 2000 | A |
| 6124694 | Bancroft et al. | Sep 2000 | A |
| 6125498 | Roberts et al. | Oct 2000 | A |
| 6131237 | Kasper et al. | Oct 2000 | A |
| 6138063 | Himeda | Oct 2000 | A |
| 6142252 | Kinto et al. | Nov 2000 | A |
| 6146041 | Chen et al. | Nov 2000 | A |
| 6146278 | Kobayashi | Nov 2000 | A |
| 6154279 | Thayer | Nov 2000 | A |
| 6154694 | Aoki et al. | Nov 2000 | A |
| 6160479 | Ahlen et al. | Dec 2000 | A |
| 6167332 | Kurtzberg et al. | Dec 2000 | A |
| 6167587 | Kasper et al. | Jan 2001 | B1 |
| 6192548 | Huffman | Feb 2001 | B1 |
| 6192549 | Kasen et al. | Feb 2001 | B1 |
| 6202243 | Beaufoy et al. | Mar 2001 | B1 |
| 6216307 | Kaleta et al. | Apr 2001 | B1 |
| 6220865 | Macri et al. | Apr 2001 | B1 |
| 6226830 | Hendriks et al. | May 2001 | B1 |
| 6230362 | Kasper et al. | May 2001 | B1 |
| 6237741 | Guidetti | May 2001 | B1 |
| 6240342 | Fiegert et al. | May 2001 | B1 |
| 6243913 | Frank et al. | Jun 2001 | B1 |
| 6255793 | Peless et al. | Jul 2001 | B1 |
| 6259979 | Holmquist | Jul 2001 | B1 |
| 6261379 | Conrad et al. | Jul 2001 | B1 |
| 6263539 | Baig | Jul 2001 | B1 |
| 6263989 | Won | Jul 2001 | B1 |
| 6272936 | Oreper et al. | Aug 2001 | B1 |
| 6276478 | Hopkins et al. | Aug 2001 | B1 |
| 6278918 | Dickson et al. | Aug 2001 | B1 |
| 6279001 | DeBettencourt et al. | Aug 2001 | B1 |
| 6279196 | Kasen et al. | Aug 2001 | B2 |
| 6282526 | Ganesh | Aug 2001 | B1 |
| 6283034 | Miles | Sep 2001 | B1 |
| 6285778 | Nakajima et al. | Sep 2001 | B1 |
| 6285930 | Dickson et al. | Sep 2001 | B1 |
| 6286181 | Kasper et al. | Sep 2001 | B1 |
| 6300737 | Bergvall et al. | Oct 2001 | B1 |
| 6321337 | Reshef et al. | Nov 2001 | B1 |
| 6321515 | Colens | Nov 2001 | B1 |
| 6323570 | Nishimura et al. | Nov 2001 | B1 |
| 6324714 | Walz et al. | Dec 2001 | B1 |
| 6327741 | Reed | Dec 2001 | B1 |
| 6332400 | Meyer | Dec 2001 | B1 |
| 6339735 | Peless et al. | Jan 2002 | B1 |
| 6362875 | Burkley | Mar 2002 | B1 |
| 6370453 | Sommer | Apr 2002 | B2 |
| 6374155 | Wallach et al. | Apr 2002 | B1 |
| 6374157 | Takamura | Apr 2002 | B1 |
| 6381802 | Park | May 2002 | B2 |
| 6385515 | Dickson et al. | May 2002 | B1 |
| 6388013 | Saraf et al. | May 2002 | B1 |
| 6389329 | Colens | May 2002 | B1 |
| 6397429 | Legatt et al. | Jun 2002 | B1 |
| 6400048 | Nishimura et al. | Jun 2002 | B1 |
| 6401294 | Kasper | Jun 2002 | B2 |
| 6408226 | Byrne et al. | Jun 2002 | B1 |
| 6412141 | Kasper et al. | Jul 2002 | B2 |
| 6415203 | Inoue et al. | Jul 2002 | B1 |
| 6418586 | Fulghum | Jul 2002 | B2 |
| 6421870 | Basham et al. | Jul 2002 | B1 |
| 6427285 | Legatt et al. | Aug 2002 | B1 |
| 6430471 | Kintou et al. | Aug 2002 | B1 |
| 6431296 | Won | Aug 2002 | B1 |
| 6437227 | Theimer | Aug 2002 | B1 |
| 6437465 | Nishimura et al. | Aug 2002 | B1 |
| 6438456 | Feddema et al. | Aug 2002 | B1 |
| 6438793 | Miner et al. | Aug 2002 | B1 |
| 6442476 | Poropat | Aug 2002 | B1 |
| 6442789 | Legatt et al. | Sep 2002 | B1 |
| 6443509 | Levin et al. | Sep 2002 | B1 |
| 6444003 | Sutcliffe | Sep 2002 | B1 |
| 6446192 | Narasimhan et al. | Sep 2002 | B1 |
| 6446302 | Kasper et al. | Sep 2002 | B1 |
| 6454036 | Airey et al. | Sep 2002 | B1 |
| D464091 | Christianson | Oct 2002 | S |
| 6457206 | Judson | Oct 2002 | B1 |
| 6459955 | Bartsch | Oct 2002 | B1 |
| 6463368 | Feiten et al. | Oct 2002 | B1 |
| 6465982 | Bergvall et al. | Oct 2002 | B1 |
| 6473167 | Odell | Oct 2002 | B1 |
| 6480762 | Uchikubo et al. | Nov 2002 | B1 |
| 6481515 | Kirkpatrick et al. | Nov 2002 | B1 |
| 6482252 | Conrad et al. | Nov 2002 | B1 |
| 6490539 | Dickson et al. | Dec 2002 | B1 |
| 6491127 | Holmberg et al. | Dec 2002 | B1 |
| 6493612 | Bisset et al. | Dec 2002 | B1 |
| 6493613 | Peless et al. | Dec 2002 | B2 |
| 6496754 | Song et al. | Dec 2002 | B2 |
| 6496755 | Wallach et al. | Dec 2002 | B2 |
| 6502657 | Kerrebrock et al. | Jan 2003 | B2 |
| 6504610 | Bauer et al. | Jan 2003 | B1 |
| 6507773 | Parker et al. | Jan 2003 | B2 |
| 6519808 | Legatt et al. | Feb 2003 | B2 |
| 6525509 | Petersson et al. | Feb 2003 | B1 |
| D471243 | Cioffi et al. | Mar 2003 | S |
| 6530102 | Pierce et al. | Mar 2003 | B1 |
| 6530117 | Peterson | Mar 2003 | B2 |
| 6532404 | Colens | Mar 2003 | B2 |
| 6535793 | Allard | Mar 2003 | B2 |
| 6540424 | Hall et al. | Apr 2003 | B1 |
| 6540607 | Mokris et al. | Apr 2003 | B2 |
| 6548982 | Papanikolopoulos et al. | Apr 2003 | B1 |
| 6553612 | Dyson et al. | Apr 2003 | B1 |
| 6556722 | Russell et al. | Apr 2003 | B1 |
| 6556892 | Kuroki et al. | Apr 2003 | B2 |
| 6557104 | Vu et al. | Apr 2003 | B2 |
| D474312 | Stephens et al. | May 2003 | S |
| 6563130 | Dworkowski et al. | May 2003 | B2 |
| 6571415 | Gerber et al. | Jun 2003 | B2 |
| 6571422 | Gordon et al. | Jun 2003 | B1 |
| 6572711 | Sclafani et al. | Jun 2003 | B2 |
| 6574536 | Kawagoe et al. | Jun 2003 | B1 |
| 6580246 | Jacobs | Jun 2003 | B2 |
| 6584376 | Van Kommer | Jun 2003 | B1 |
| 6586908 | Petersson et al. | Jul 2003 | B2 |
| 6587573 | Stam et al. | Jul 2003 | B1 |
| 6590222 | Bisset et al. | Jul 2003 | B1 |
| 6594551 | McKinney et al. | Jul 2003 | B2 |
| 6594844 | Jones | Jul 2003 | B2 |
| 6597076 | Scheible et al. | Jul 2003 | B2 |
| D478884 | Slipy et al. | Aug 2003 | S |
| 6601265 | Burlington | Aug 2003 | B1 |
| 6604021 | Imai et al. | Aug 2003 | B2 |
| 6604022 | Parker et al. | Aug 2003 | B2 |
| 6605156 | Clark et al. | Aug 2003 | B1 |
| 6609269 | Kasper | Aug 2003 | B2 |
| 6611120 | Song et al. | Aug 2003 | B2 |
| 6611734 | Parker et al. | Aug 2003 | B2 |
| 6611738 | Ruffner | Aug 2003 | B2 |
| 6615108 | Peless et al. | Sep 2003 | B1 |
| 6615434 | Davis et al. | Sep 2003 | B1 |
| 6615885 | Ohm | Sep 2003 | B1 |
| 6622465 | Jerome et al. | Sep 2003 | B2 |
| 6624744 | Wilson et al. | Sep 2003 | B1 |
| 6625843 | Kim et al. | Sep 2003 | B2 |
| 6629028 | Paromtchik et al. | Sep 2003 | B2 |
| 6633150 | Wallach et al. | Oct 2003 | B1 |
| 6637546 | Wang | Oct 2003 | B1 |
| 6639659 | Granger | Oct 2003 | B2 |
| 6658325 | Zweig | Dec 2003 | B2 |
| 6658354 | Lin | Dec 2003 | B2 |
| 6658692 | Lenkiewicz et al. | Dec 2003 | B2 |
| 6658693 | Reed | Dec 2003 | B1 |
| 6661239 | Ozick | Dec 2003 | B1 |
| 6662889 | De Fazio et al. | Dec 2003 | B2 |
| 6668951 | Won | Dec 2003 | B2 |
| 6670817 | Fournier et al. | Dec 2003 | B2 |
| 6671592 | Bisset et al. | Dec 2003 | B1 |
| 6671925 | Field et al. | Jan 2004 | B2 |
| 6677938 | Maynard | Jan 2004 | B1 |
| 6687571 | Byrne et al. | Feb 2004 | B1 |
| 6690134 | Jones et al. | Feb 2004 | B1 |
| 6690993 | Foulke et al. | Feb 2004 | B2 |
| 6697147 | Ko et al. | Feb 2004 | B2 |
| 6705332 | Field et al. | Mar 2004 | B2 |
| 6711280 | Stafsudd et al. | Mar 2004 | B2 |
| 6732826 | Song et al. | May 2004 | B2 |
| 6735811 | Field et al. | May 2004 | B2 |
| 6735812 | Hekman et al. | May 2004 | B2 |
| 6737591 | Lapstun et al. | May 2004 | B1 |
| 6741054 | Koselka et al. | May 2004 | B2 |
| 6741364 | Lange et al. | May 2004 | B2 |
| 6748297 | Song et al. | Jun 2004 | B2 |
| 6756703 | Chang | Jun 2004 | B2 |
| 6760647 | Nourbakhsh et al. | Jul 2004 | B2 |
| 6764373 | Osawa et al. | Jul 2004 | B1 |
| 6769004 | Barrett | Jul 2004 | B2 |
| 6774596 | Bisset | Aug 2004 | B1 |
| 6779380 | Nieuwkamp | Aug 2004 | B1 |
| 6781338 | Jones et al. | Aug 2004 | B2 |
| 6809490 | Jones et al. | Oct 2004 | B2 |
| 6810305 | Kirkpatrick | Oct 2004 | B2 |
| 6810350 | Blakley | Oct 2004 | B2 |
| 6830120 | Yashima et al. | Dec 2004 | B1 |
| 6832407 | Salem et al. | Dec 2004 | B2 |
| 6836701 | McKee | Dec 2004 | B2 |
| 6841963 | Song et al. | Jan 2005 | B2 |
| 6845297 | Allard | Jan 2005 | B2 |
| 6848146 | Wright et al. | Feb 2005 | B2 |
| 6854148 | Rief et al. | Feb 2005 | B1 |
| 6856811 | Burdue et al. | Feb 2005 | B2 |
| 6859010 | Jeon et al. | Feb 2005 | B2 |
| 6859682 | Naka et al. | Feb 2005 | B2 |
| 6860206 | Rudakevych et al. | Mar 2005 | B1 |
| 6865447 | Lau et al. | Mar 2005 | B2 |
| 6870792 | Chiappetta | Mar 2005 | B2 |
| 6871115 | Huang et al. | Mar 2005 | B2 |
| 6883201 | Jones et al. | Apr 2005 | B2 |
| 6886651 | Slocum et al. | May 2005 | B1 |
| 6888333 | Laby | May 2005 | B2 |
| 6901624 | Mori et al. | Jun 2005 | B2 |
| 6906702 | Tanaka et al. | Jun 2005 | B1 |
| 6914403 | Tsurumi | Jul 2005 | B2 |
| 6917854 | Bayer | Jul 2005 | B2 |
| 6925357 | Wang et al. | Aug 2005 | B2 |
| 6925679 | Wallach et al. | Aug 2005 | B2 |
| 6929548 | Wang | Aug 2005 | B2 |
| D510066 | Hickey et al. | Sep 2005 | S |
| 6938298 | Aasen | Sep 2005 | B2 |
| 6940291 | Ozick | Sep 2005 | B1 |
| 6941199 | Bottomley et al. | Sep 2005 | B1 |
| 6956348 | Landry et al. | Oct 2005 | B2 |
| 6957712 | Song et al. | Oct 2005 | B2 |
| 6960986 | Asama et al. | Nov 2005 | B2 |
| 6965209 | Jones et al. | Nov 2005 | B2 |
| 6965211 | Tsurumi | Nov 2005 | B2 |
| 6968592 | Takeuchi et al. | Nov 2005 | B2 |
| 6971140 | Kim | Dec 2005 | B2 |
| 6975246 | Trudeau | Dec 2005 | B1 |
| 6980229 | Ebersole | Dec 2005 | B1 |
| 6985556 | Shanmugavel et al. | Jan 2006 | B2 |
| 6993954 | George et al. | Feb 2006 | B1 |
| 6999850 | McDonald | Feb 2006 | B2 |
| 7013527 | Thomas et al. | Mar 2006 | B2 |
| 7024278 | Chiappetta et al. | Apr 2006 | B2 |
| 7024280 | Parker et al. | Apr 2006 | B2 |
| 7027893 | Perry et al. | Apr 2006 | B2 |
| 7030768 | Wanie | Apr 2006 | B2 |
| 7031805 | Lee et al. | Apr 2006 | B2 |
| 7032469 | Bailey | Apr 2006 | B2 |
| 7040869 | Beenker | May 2006 | B2 |
| 7041029 | Fulghum et al. | May 2006 | B2 |
| 7051399 | Field et al. | May 2006 | B2 |
| 7053578 | Diehl et al. | May 2006 | B2 |
| 7054716 | McKee et al. | May 2006 | B2 |
| 7055210 | Keppler et al. | Jun 2006 | B2 |
| 7057120 | Ma et al. | Jun 2006 | B2 |
| 7057643 | Iida et al. | Jun 2006 | B2 |
| 7059012 | Song et al. | Jun 2006 | B2 |
| 7065430 | Naka et al. | Jun 2006 | B2 |
| 7066291 | Martins et al. | Jun 2006 | B2 |
| 7069124 | Whittaker et al. | Jun 2006 | B1 |
| 7079923 | Abramson et al. | Jul 2006 | B2 |
| 7085623 | Siegers | Aug 2006 | B2 |
| 7085624 | Aldred et al. | Aug 2006 | B2 |
| 7113847 | Chmura et al. | Sep 2006 | B2 |
| 7133746 | Abramson et al. | Nov 2006 | B2 |
| 7142198 | Lee | Nov 2006 | B2 |
| 7148458 | Schell et al. | Dec 2006 | B2 |
| 7155308 | Jones | Dec 2006 | B2 |
| 7167775 | Abramson et al. | Jan 2007 | B2 |
| 7171285 | Kim et al. | Jan 2007 | B2 |
| 7173391 | Jones et al. | Feb 2007 | B2 |
| 7174238 | Zweig | Feb 2007 | B1 |
| 7188000 | Chiappetta et al. | Mar 2007 | B2 |
| 7188003 | Ransom et al. | Mar 2007 | B2 |
| 7193384 | Norman et al. | Mar 2007 | B1 |
| 7196487 | Jones et al. | Mar 2007 | B2 |
| 7201786 | Wegelin et al. | Apr 2007 | B2 |
| 7206677 | Hulden | Apr 2007 | B2 |
| 7211980 | Bruemmer et al. | May 2007 | B1 |
| 7225500 | Diehl et al. | Jun 2007 | B2 |
| 7246405 | Yan | Jul 2007 | B2 |
| 7248951 | Hulden | Jul 2007 | B2 |
| 7250907 | Krumm et al. | Jul 2007 | B2 |
| 7275280 | Haegermarck et al. | Oct 2007 | B2 |
| 7283892 | Boillot et al. | Oct 2007 | B1 |
| 7288912 | Landry et al. | Oct 2007 | B2 |
| 7302469 | Motoyama et al. | Nov 2007 | B2 |
| 7312752 | Smith et al. | Dec 2007 | B2 |
| 7318248 | Yan | Jan 2008 | B1 |
| 7320149 | Huffman et al. | Jan 2008 | B1 |
| 7321807 | Laski | Jan 2008 | B2 |
| 7324870 | Lee | Jan 2008 | B2 |
| 7328196 | Peters | Feb 2008 | B2 |
| 7332890 | Cohen et al. | Feb 2008 | B2 |
| 7346428 | Huffman et al. | Mar 2008 | B1 |
| 7352153 | Yan | Apr 2008 | B2 |
| 7359766 | Jeon et al. | Apr 2008 | B2 |
| 7360277 | Moshenrose et al. | Apr 2008 | B2 |
| 7363108 | Noda et al. | Apr 2008 | B2 |
| 7388879 | Sabe et al. | Jun 2008 | B2 |
| 7389156 | Ziegler et al. | Jun 2008 | B2 |
| 7389166 | Harwig et al. | Jun 2008 | B2 |
| 7408157 | Yan | Aug 2008 | B2 |
| 7418762 | Arai et al. | Sep 2008 | B2 |
| 7430455 | Casey et al. | Sep 2008 | B2 |
| 7430462 | Chiu et al. | Sep 2008 | B2 |
| 7441298 | Svendsen et al. | Oct 2008 | B2 |
| 7444206 | Abramson et al. | Oct 2008 | B2 |
| 7448113 | Jones et al. | Nov 2008 | B2 |
| 7456596 | Goodall et al. | Nov 2008 | B2 |
| 7459871 | Landry et al. | Dec 2008 | B2 |
| 7467026 | Sakagami et al. | Dec 2008 | B2 |
| 7474941 | Kim et al. | Jan 2009 | B2 |
| 7503096 | Lin | Mar 2009 | B2 |
| 7512079 | Labrador et al. | Mar 2009 | B2 |
| 7515991 | Egawa et al. | Apr 2009 | B2 |
| 7539557 | Yamauchi | May 2009 | B2 |
| 7555363 | Augenbraun et al. | Jun 2009 | B2 |
| 7557703 | Yamada et al. | Jul 2009 | B2 |
| 7568259 | Yan | Aug 2009 | B2 |
| 7571511 | Jones et al. | Aug 2009 | B2 |
| 7578020 | Jaworski et al. | Aug 2009 | B2 |
| 7600521 | Woo | Oct 2009 | B2 |
| 7603744 | Reindle | Oct 2009 | B2 |
| 7611583 | Buckley et al. | Nov 2009 | B2 |
| 7617557 | Reindle | Nov 2009 | B2 |
| 7620476 | Morse et al. | Nov 2009 | B2 |
| 7636928 | Uno | Dec 2009 | B2 |
| 7636982 | Jones et al. | Dec 2009 | B2 |
| 7647144 | Haegermarck | Jan 2010 | B2 |
| 7650666 | Jang | Jan 2010 | B2 |
| 7660650 | Kawagoe et al. | Feb 2010 | B2 |
| 7663333 | Jones et al. | Feb 2010 | B2 |
| 7693605 | Park | Apr 2010 | B2 |
| 7706917 | Chiappetta et al. | Apr 2010 | B1 |
| 7751936 | Kim | Jul 2010 | B2 |
| 7761910 | Ransom et al. | Jul 2010 | B2 |
| 7761954 | Ziegler et al. | Jul 2010 | B2 |
| 7765635 | Park | Aug 2010 | B2 |
| 7784147 | Burkholder et al. | Aug 2010 | B2 |
| 7801645 | Taylor et al. | Sep 2010 | B2 |
| 7805220 | Taylor et al. | Sep 2010 | B2 |
| 7809944 | Kawamoto | Oct 2010 | B2 |
| 7832048 | Harwig et al. | Nov 2010 | B2 |
| 7849555 | Hahm et al. | Dec 2010 | B2 |
| 7853645 | Brown et al. | Dec 2010 | B2 |
| 7860680 | Arms et al. | Dec 2010 | B2 |
| 7920941 | Park et al. | Apr 2011 | B2 |
| 7937800 | Yan | May 2011 | B2 |
| 7957836 | Myeong et al. | Jun 2011 | B2 |
| 8087117 | Kapoor et al. | Jan 2012 | B2 |
| 20010004719 | Sommer | Jun 2001 | A1 |
| 20010013929 | Torsten | Aug 2001 | A1 |
| 20010020200 | Das et al. | Sep 2001 | A1 |
| 20010025183 | Shahidi | Sep 2001 | A1 |
| 20010037163 | Allard | Nov 2001 | A1 |
| 20010043509 | Green et al. | Nov 2001 | A1 |
| 20010045883 | Holdaway et al. | Nov 2001 | A1 |
| 20010047231 | Peless et al. | Nov 2001 | A1 |
| 20010047895 | De Fazio et al. | Dec 2001 | A1 |
| 20020011367 | Kolesnik | Jan 2002 | A1 |
| 20020011813 | Koselka et al. | Jan 2002 | A1 |
| 20020016649 | Jones | Feb 2002 | A1 |
| 20020021219 | Edwards | Feb 2002 | A1 |
| 20020027652 | Paromtchik et al. | Mar 2002 | A1 |
| 20020036779 | Kiyoi et al. | Mar 2002 | A1 |
| 20020046405 | Lahr | Apr 2002 | A1 |
| 20020081937 | Yamada et al. | Jun 2002 | A1 |
| 20020095239 | Wallach et al. | Jul 2002 | A1 |
| 20020097400 | Jung et al. | Jul 2002 | A1 |
| 20020104963 | Mancevski | Aug 2002 | A1 |
| 20020108209 | Peterson | Aug 2002 | A1 |
| 20020112742 | Bredo et al. | Aug 2002 | A1 |
| 20020113973 | Ge | Aug 2002 | A1 |
| 20020116089 | Kirkpatrick | Aug 2002 | A1 |
| 20020120364 | Colens | Aug 2002 | A1 |
| 20020124343 | Reed | Sep 2002 | A1 |
| 20020153185 | Song et al. | Oct 2002 | A1 |
| 20020156556 | Ruffner | Oct 2002 | A1 |
| 20020159051 | Guo | Oct 2002 | A1 |
| 20020166193 | Kasper | Nov 2002 | A1 |
| 20020169521 | Goodman et al. | Nov 2002 | A1 |
| 20020173877 | Zweig | Nov 2002 | A1 |
| 20020189871 | Won | Dec 2002 | A1 |
| 20030009259 | Hattori et al. | Jan 2003 | A1 |
| 20030015232 | Nguyen | Jan 2003 | A1 |
| 20030019071 | Field et al. | Jan 2003 | A1 |
| 20030023356 | Keable | Jan 2003 | A1 |
| 20030024986 | Mazz et al. | Feb 2003 | A1 |
| 20030025472 | Jones et al. | Feb 2003 | A1 |
| 20030028286 | Glenn et al. | Feb 2003 | A1 |
| 20030030399 | Jacobs | Feb 2003 | A1 |
| 20030058262 | Sato et al. | Mar 2003 | A1 |
| 20030060928 | Abramson et al. | Mar 2003 | A1 |
| 20030067451 | Tagg et al. | Apr 2003 | A1 |
| 20030097875 | Lentz et al. | May 2003 | A1 |
| 20030120389 | Abramson et al. | Jun 2003 | A1 |
| 20030124312 | Autumn | Jul 2003 | A1 |
| 20030126352 | Barrett | Jul 2003 | A1 |
| 20030137268 | Papanikolopoulos et al. | Jul 2003 | A1 |
| 20030146384 | Logsdon et al. | Aug 2003 | A1 |
| 20030158628 | Matsuoka et al. | Aug 2003 | A1 |
| 20030159232 | Hekman et al. | Aug 2003 | A1 |
| 20030168081 | Lee et al. | Sep 2003 | A1 |
| 20030175138 | Beenker | Sep 2003 | A1 |
| 20030182117 | Monchi et al. | Sep 2003 | A1 |
| 20030192144 | Song et al. | Oct 2003 | A1 |
| 20030193657 | Uomori et al. | Oct 2003 | A1 |
| 20030216834 | Allard | Nov 2003 | A1 |
| 20030221114 | Hino et al. | Nov 2003 | A1 |
| 20030229421 | Chmura et al. | Dec 2003 | A1 |
| 20030229474 | Suzuki et al. | Dec 2003 | A1 |
| 20030233171 | Heiligensetzer | Dec 2003 | A1 |
| 20030233177 | Johnson et al. | Dec 2003 | A1 |
| 20030233870 | Mancevski | Dec 2003 | A1 |
| 20030233930 | Ozick | Dec 2003 | A1 |
| 20040009777 | Koskimies et al. | Jan 2004 | A1 |
| 20040016077 | Song et al. | Jan 2004 | A1 |
| 20040019406 | Wang | Jan 2004 | A1 |
| 20040020000 | Jones | Feb 2004 | A1 |
| 20040030448 | Solomon | Feb 2004 | A1 |
| 20040030449 | Solomon | Feb 2004 | A1 |
| 20040030450 | Solomon | Feb 2004 | A1 |
| 20040030451 | Solomon | Feb 2004 | A1 |
| 20040030570 | Solomon | Feb 2004 | A1 |
| 20040030571 | Solomon | Feb 2004 | A1 |
| 20040031113 | Wosewick et al. | Feb 2004 | A1 |
| 20040049317 | Matsuoka et al. | Mar 2004 | A1 |
| 20040049877 | Jones et al. | Mar 2004 | A1 |
| 20040055163 | McCambridge et al. | Mar 2004 | A1 |
| 20040068351 | Solomon | Apr 2004 | A1 |
| 20040068415 | Solomon | Apr 2004 | A1 |
| 20040068416 | Solomon | Apr 2004 | A1 |
| 20040074038 | Im et al. | Apr 2004 | A1 |
| 20040074044 | Diehl et al. | Apr 2004 | A1 |
| 20040076324 | Burl et al. | Apr 2004 | A1 |
| 20040083570 | Song et al. | May 2004 | A1 |
| 20040085037 | Jones et al. | May 2004 | A1 |
| 20040088079 | Lavarec et al. | May 2004 | A1 |
| 20040093122 | Galibraith | May 2004 | A1 |
| 20040098167 | Yi et al. | May 2004 | A1 |
| 20040111184 | Chiappetta et al. | Jun 2004 | A1 |
| 20040111821 | Lenkiewicz et al. | Jun 2004 | A1 |
| 20040113777 | Matsuhira et al. | Jun 2004 | A1 |
| 20040117064 | McDonald | Jun 2004 | A1 |
| 20040117846 | Karaoguz et al. | Jun 2004 | A1 |
| 20040118998 | Wingett et al. | Jun 2004 | A1 |
| 20040128028 | Miyamoto et al. | Jul 2004 | A1 |
| 20040133316 | Dean | Jul 2004 | A1 |
| 20040134336 | Solomon | Jul 2004 | A1 |
| 20040134337 | Solomon | Jul 2004 | A1 |
| 20040143919 | Wilder | Jul 2004 | A1 |
| 20040148419 | Chen et al. | Jul 2004 | A1 |
| 20040148731 | Damman et al. | Aug 2004 | A1 |
| 20040153212 | Profio et al. | Aug 2004 | A1 |
| 20040156541 | Jeon et al. | Aug 2004 | A1 |
| 20040158357 | Lee et al. | Aug 2004 | A1 |
| 20040160312 | Fisher et al. | Aug 2004 | A1 |
| 20040170154 | Carter et al. | Sep 2004 | A1 |
| 20040181706 | Chen et al. | Sep 2004 | A1 |
| 20040187249 | Jones et al. | Sep 2004 | A1 |
| 20040187457 | Colens | Sep 2004 | A1 |
| 20040196451 | Aoyama | Oct 2004 | A1 |
| 20040200505 | Taylor et al. | Oct 2004 | A1 |
| 20040201361 | Koh et al. | Oct 2004 | A1 |
| 20040204792 | Taylor et al. | Oct 2004 | A1 |
| 20040204804 | Lee et al. | Oct 2004 | A1 |
| 20040210345 | Noda et al. | Oct 2004 | A1 |
| 20040210347 | Sawada et al. | Oct 2004 | A1 |
| 20040211444 | Taylor et al. | Oct 2004 | A1 |
| 20040221790 | Sinclair et al. | Nov 2004 | A1 |
| 20040235468 | Luebke et al. | Nov 2004 | A1 |
| 20040236468 | Taylor et al. | Nov 2004 | A1 |
| 20040244138 | Taylor et al. | Dec 2004 | A1 |
| 20040255425 | Arai et al. | Dec 2004 | A1 |
| 20050000543 | Taylor et al. | Jan 2005 | A1 |
| 20050010330 | Abramson et al. | Jan 2005 | A1 |
| 20050010331 | Taylor et al. | Jan 2005 | A1 |
| 20050015920 | Kim et al. | Jan 2005 | A1 |
| 20050021181 | Kim et al. | Jan 2005 | A1 |
| 20050028316 | Thomas et al. | Feb 2005 | A1 |
| 20050053912 | Roth et al. | Mar 2005 | A1 |
| 20050055796 | Wright et al. | Mar 2005 | A1 |
| 20050067994 | Jones et al. | Mar 2005 | A1 |
| 20050080514 | Omote | Apr 2005 | A1 |
| 20050081782 | Buckley et al. | Apr 2005 | A1 |
| 20050085947 | Aldred et al. | Apr 2005 | A1 |
| 20050091782 | Gordon et al. | May 2005 | A1 |
| 20050091786 | Wright et al. | May 2005 | A1 |
| 20050096790 | Tamura | May 2005 | A1 |
| 20050137749 | Jeon et al. | Jun 2005 | A1 |
| 20050144437 | Ransom et al. | Jun 2005 | A1 |
| 20050144751 | Kegg et al. | Jul 2005 | A1 |
| 20050150074 | Diehl et al. | Jul 2005 | A1 |
| 20050150519 | Keppler et al. | Jul 2005 | A1 |
| 20050150697 | Altman | Jul 2005 | A1 |
| 20050154795 | Kuz et al. | Jul 2005 | A1 |
| 20050156562 | Cohen et al. | Jul 2005 | A1 |
| 20050162119 | Landry et al. | Jul 2005 | A1 |
| 20050163119 | Ito et al. | Jul 2005 | A1 |
| 20050165508 | Kanda et al. | Jul 2005 | A1 |
| 20050166354 | Uehigashi | Aug 2005 | A1 |
| 20050166355 | Tani | Aug 2005 | A1 |
| 20050172445 | Diehl et al. | Aug 2005 | A1 |
| 20050183229 | Uehigashi | Aug 2005 | A1 |
| 20050183230 | Uehigashi | Aug 2005 | A1 |
| 20050187678 | Myeong et al. | Aug 2005 | A1 |
| 20050192707 | Park et al. | Sep 2005 | A1 |
| 20050197739 | Noda et al. | Sep 2005 | A1 |
| 20050204505 | Kashiwagi | Sep 2005 | A1 |
| 20050204717 | Colens | Sep 2005 | A1 |
| 20050209736 | Kawagoe | Sep 2005 | A1 |
| 20050211880 | Schell et al. | Sep 2005 | A1 |
| 20050212929 | Schell et al. | Sep 2005 | A1 |
| 20050213082 | DiBernardo et al. | Sep 2005 | A1 |
| 20050213109 | Schell et al. | Sep 2005 | A1 |
| 20050216126 | Koselka et al. | Sep 2005 | A1 |
| 20050217042 | Reindle | Oct 2005 | A1 |
| 20050218852 | Landry et al. | Oct 2005 | A1 |
| 20050222933 | Wesby | Oct 2005 | A1 |
| 20050229340 | Sawalski et al. | Oct 2005 | A1 |
| 20050229355 | Crouch et al. | Oct 2005 | A1 |
| 20050234611 | Uehigashi | Oct 2005 | A1 |
| 20050235451 | Yan | Oct 2005 | A1 |
| 20050251292 | Casey et al. | Nov 2005 | A1 |
| 20050255425 | Pierson | Nov 2005 | A1 |
| 20050258154 | Blankenship et al. | Nov 2005 | A1 |
| 20050267826 | Levy | Dec 2005 | A1 |
| 20050273967 | Taylor et al. | Dec 2005 | A1 |
| 20050288819 | De Guzman | Dec 2005 | A1 |
| 20060000050 | Cipolla et al. | Jan 2006 | A1 |
| 20060009879 | Lynch et al. | Jan 2006 | A1 |
| 20060010638 | Shimizu et al. | Jan 2006 | A1 |
| 20060020369 | Taylor et al. | Jan 2006 | A1 |
| 20060020370 | Abramson | Jan 2006 | A1 |
| 20060020881 | Szabo et al. | Jan 2006 | A1 |
| 20060021168 | Nishikawa | Feb 2006 | A1 |
| 20060025134 | Cho et al. | Feb 2006 | A1 |
| 20060037170 | Shimizu | Feb 2006 | A1 |
| 20060042042 | Mertes et al. | Mar 2006 | A1 |
| 20060044546 | Lewin et al. | Mar 2006 | A1 |
| 20060060216 | Woo | Mar 2006 | A1 |
| 20060061657 | Rew et al. | Mar 2006 | A1 |
| 20060064828 | Stein et al. | Mar 2006 | A1 |
| 20060087273 | Ko et al. | Apr 2006 | A1 |
| 20060089765 | Pack et al. | Apr 2006 | A1 |
| 20060100741 | Jung | May 2006 | A1 |
| 20060107894 | Buckley et al. | May 2006 | A1 |
| 20060119839 | Bertin et al. | Jun 2006 | A1 |
| 20060143295 | Costa-Requena et al. | Jun 2006 | A1 |
| 20060146776 | Kim | Jul 2006 | A1 |
| 20060150361 | Aldred et al. | Jul 2006 | A1 |
| 20060161301 | Kim | Jul 2006 | A1 |
| 20060184293 | Konandreas et al. | Aug 2006 | A1 |
| 20060185690 | Song et al. | Aug 2006 | A1 |
| 20060190133 | Konandreas et al. | Aug 2006 | A1 |
| 20060190134 | Ziegler et al. | Aug 2006 | A1 |
| 20060190146 | Morse et al. | Aug 2006 | A1 |
| 20060196003 | Song et al. | Sep 2006 | A1 |
| 20060200281 | Ziegler et al. | Sep 2006 | A1 |
| 20060220900 | Ceskutti et al. | Oct 2006 | A1 |
| 20060229774 | Park et al. | Oct 2006 | A1 |
| 20060259194 | Chiu | Nov 2006 | A1 |
| 20060259494 | Watson et al. | Nov 2006 | A1 |
| 20060278161 | Burkholder et al. | Dec 2006 | A1 |
| 20060288519 | Jaworski et al. | Dec 2006 | A1 |
| 20060293787 | Kanda et al. | Dec 2006 | A1 |
| 20060293808 | Qian | Dec 2006 | A1 |
| 20070006404 | Cheng et al. | Jan 2007 | A1 |
| 20070016328 | Ziegler et al. | Jan 2007 | A1 |
| 20070017061 | Yan | Jan 2007 | A1 |
| 20070028574 | Yan | Feb 2007 | A1 |
| 20070032904 | Kawagoe et al. | Feb 2007 | A1 |
| 20070042716 | Goodall et al. | Feb 2007 | A1 |
| 20070043459 | Abbott et al. | Feb 2007 | A1 |
| 20070061041 | Zweig | Mar 2007 | A1 |
| 20070061043 | Ermakov et al. | Mar 2007 | A1 |
| 20070114975 | Cohen et al. | May 2007 | A1 |
| 20070142964 | Abramson | Jun 2007 | A1 |
| 20070150096 | Yeh et al. | Jun 2007 | A1 |
| 20070156286 | Yamauchi | Jul 2007 | A1 |
| 20070157415 | Lee et al. | Jul 2007 | A1 |
| 20070157420 | Lee et al. | Jul 2007 | A1 |
| 20070179670 | Chiappetta et al. | Aug 2007 | A1 |
| 20070226949 | Hahm et al. | Oct 2007 | A1 |
| 20070234492 | Svendsen et al. | Oct 2007 | A1 |
| 20070244610 | Ozick et al. | Oct 2007 | A1 |
| 20070245511 | Hahm et al. | Oct 2007 | A1 |
| 20070250212 | Halloran et al. | Oct 2007 | A1 |
| 20070261193 | Gordon et al. | Nov 2007 | A1 |
| 20070266508 | Jones et al. | Nov 2007 | A1 |
| 20080007203 | Cohen et al. | Jan 2008 | A1 |
| 20080039974 | Sandin et al. | Feb 2008 | A1 |
| 20080052846 | Kapoor et al. | Mar 2008 | A1 |
| 20080091304 | Ozick et al. | Apr 2008 | A1 |
| 20080109126 | Sandin et al. | May 2008 | A1 |
| 20080134458 | Ziegler et al. | Jun 2008 | A1 |
| 20080140255 | Ziegler et al. | Jun 2008 | A1 |
| 20080155768 | Ziegler et al. | Jul 2008 | A1 |
| 20080184518 | Taylor et al. | Aug 2008 | A1 |
| 20080266748 | Lee | Oct 2008 | A1 |
| 20080276407 | Schnittman et al. | Nov 2008 | A1 |
| 20080281470 | Gilbert et al. | Nov 2008 | A1 |
| 20080282494 | Won et al. | Nov 2008 | A1 |
| 20080294288 | Yamauchi | Nov 2008 | A1 |
| 20080302586 | Yan | Dec 2008 | A1 |
| 20080307590 | Jones et al. | Dec 2008 | A1 |
| 20090007366 | Svendsen et al. | Jan 2009 | A1 |
| 20090038089 | Landry et al. | Feb 2009 | A1 |
| 20090048727 | Hong et al. | Feb 2009 | A1 |
| 20090049640 | Lee et al. | Feb 2009 | A1 |
| 20090055022 | Casey et al. | Feb 2009 | A1 |
| 20090102296 | Greene et al. | Apr 2009 | A1 |
| 20090292393 | Casey et al. | Nov 2009 | A1 |
| 20100006028 | Buckley et al. | Jan 2010 | A1 |
| 20100011529 | Won et al. | Jan 2010 | A1 |
| 20100049365 | Jones et al. | Feb 2010 | A1 |
| 20100063628 | Landry et al. | Mar 2010 | A1 |
| 20100082193 | Chiappetta | Apr 2010 | A1 |
| 20100107355 | Won et al. | May 2010 | A1 |
| 20100257690 | Jones et al. | Oct 2010 | A1 |
| 20100257691 | Jones et al. | Oct 2010 | A1 |
| 20100263158 | Jones et al. | Oct 2010 | A1 |
| 20100268384 | Jones et al. | Oct 2010 | A1 |
| 20100293742 | Chung et al. | Nov 2010 | A1 |
| 20100312429 | Jones et al. | Dec 2010 | A1 |
| Number | Date | Country |
|---|---|---|
| 2128842 | Dec 1980 | DE |
| 3317376 | Dec 1987 | DE |
| 3536907 | Feb 1989 | DE |
| 3404202 | Dec 1992 | DE |
| 199311014 | Oct 1993 | DE |
| 4338841 | May 1995 | DE |
| 4414683 | Oct 1995 | DE |
| 19849978 | Feb 2001 | DE |
| 102004038074 | Jun 2005 | DE |
| 10357636 | Jul 2005 | DE |
| 102004041021 | Aug 2005 | DE |
| 102005046813 | Apr 2007 | DE |
| 338988 | Dec 1988 | DK |
| 0265542 | May 1988 | EP |
| 0281085 | Sep 1988 | EP |
| 0286328 | Oct 1988 | EP |
| 0294101 | Dec 1988 | EP |
| 0352045 | Jan 1990 | EP |
| 0433697 | Jun 1991 | EP |
| 0437024 | Jul 1991 | EP |
| 0554978 | Aug 1993 | EP |
| 0615719 | Sep 1994 | EP |
| 0792726 | Sep 1997 | EP |
| 0930040 | Jul 1999 | EP |
| 0845237 | Apr 2000 | EP |
| 0861629 | Sep 2001 | EP |
| 1228734 | Aug 2002 | EP |
| 1380245 | Jan 2004 | EP |
| 1380246 | Jan 2004 | EP |
| 1018315 | Nov 2004 | EP |
| 1553472 | Jul 2005 | EP |
| 1557730 | Jul 2005 | EP |
| 1642522 | Apr 2006 | EP |
| 1836941 | Sep 2007 | EP |
| 2238196 | Aug 2005 | ES |
| 722755 | Mar 1932 | FR |
| 2601443 | Jan 1988 | FR |
| 2828589 | Feb 2003 | FR |
| 702426 | Jan 1954 | GB |
| 2128842 | May 1984 | GB |
| 2225221 | May 1990 | GB |
| 2267360 | Dec 1993 | GB |
| 2283838 | May 1995 | GB |
| 2284957 | Jun 1995 | GB |
| 2300082 | Oct 1996 | GB |
| 2344747 | Jun 2000 | GB |
| 2404330 | Feb 2005 | GB |
| 2417354 | Feb 2006 | GB |
| 53021869 | Feb 1978 | JP |
| 53110257 | Sep 1978 | JP |
| 57064217 | Apr 1982 | JP |
| 59005315 | Jan 1984 | JP |
| 59033511 | Mar 1984 | JP |
| 59094005 | May 1984 | JP |
| 59099308 | Jun 1984 | JP |
| 59112311 | Jun 1984 | JP |
| 59120124 | Jul 1984 | JP |
| 59131668 | Sep 1984 | JP |
| 59164973 | Sep 1984 | JP |
| 59184917 | Oct 1984 | JP |
| 2283343 | Nov 1984 | JP |
| 59212924 | Dec 1984 | JP |
| 59226909 | Dec 1984 | JP |
| 60089213 | May 1985 | JP |
| 60211510 | Oct 1985 | JP |
| 60259895 | Dec 1985 | JP |
| 61023221 | Jan 1986 | JP |
| 61097712 | May 1986 | JP |
| 61160366 | Jul 1986 | JP |
| 62070709 | Apr 1987 | JP |
| 62074018 | Apr 1987 | JP |
| 62120510 | Jun 1987 | JP |
| 62154008 | Jul 1987 | JP |
| 62164431 | Jul 1987 | JP |
| 62263507 | Nov 1987 | JP |
| 62263508 | Nov 1987 | JP |
| 62189057 | Dec 1987 | JP |
| 63079623 | Apr 1988 | JP |
| 63158032 | Jul 1988 | JP |
| 63192414 | Aug 1988 | JP |
| 63203483 | Aug 1988 | JP |
| 63241610 | Oct 1988 | JP |
| 1118752 | Aug 1989 | JP |
| 2-6312 | Jan 1990 | JP |
| 3051023 | Mar 1991 | JP |
| 3162814 | Jul 1991 | JP |
| 4019586 | Jan 1992 | JP |
| 4074285 | Mar 1992 | JP |
| 4084921 | Mar 1992 | JP |
| 04-083393 | Jul 1992 | JP |
| 5023269 | Feb 1993 | JP |
| 5035330 | Feb 1993 | JP |
| 5042076 | Feb 1993 | JP |
| 5046246 | Feb 1993 | JP |
| 5091604 | Apr 1993 | JP |
| 5095879 | Apr 1993 | JP |
| 5150827 | Jun 1993 | JP |
| 5150829 | Jun 1993 | JP |
| 5054620 | Jul 1993 | JP |
| 5040519 | Oct 1993 | JP |
| 5257527 | Oct 1993 | JP |
| 5257533 | Oct 1993 | JP |
| 5285861 | Nov 1993 | JP |
| 5302836 | Nov 1993 | JP |
| 5312514 | Nov 1993 | JP |
| 5046239 | Dec 1993 | JP |
| 5341904 | Dec 1993 | JP |
| 6003251 | Jan 1994 | JP |
| 6038912 | Feb 1994 | JP |
| 6105781 | Apr 1994 | JP |
| 6137828 | May 1994 | JP |
| 6154143 | Jun 1994 | JP |
| 6293095 | Oct 1994 | JP |
| 6327598 | Nov 1994 | JP |
| 7047046 | Feb 1995 | JP |
| 7129239 | May 1995 | JP |
| 7059702 | Jun 1995 | JP |
| 7202792 | Aug 1995 | JP |
| 7222705 | Aug 1995 | JP |
| 7270518 | Oct 1995 | JP |
| 7313417 | Dec 1995 | JP |
| 8000393 | Jan 1996 | JP |
| 8016776 | Jan 1996 | JP |
| 8084696 | Apr 1996 | JP |
| 8089449 | Apr 1996 | JP |
| 8089451 | Apr 1996 | JP |
| 8123548 | May 1996 | JP |
| 8125767 | May 1996 | JP |
| 8152916 | Jun 1996 | JP |
| 8263137 | Oct 1996 | JP |
| 8335112 | Dec 1996 | JP |
| 8339297 | Dec 1996 | JP |
| 943901 | Feb 1997 | JP |
| 9044240 | Feb 1997 | JP |
| 9066855 | Mar 1997 | JP |
| 9145309 | Jun 1997 | JP |
| 9160644 | Jun 1997 | JP |
| 9179625 | Jul 1997 | JP |
| 9185410 | Jul 1997 | JP |
| 9192069 | Jul 1997 | JP |
| 2555263 | Aug 1997 | JP |
| 9204223 | Aug 1997 | JP |
| 9206258 | Aug 1997 | JP |
| 9233712 | Sep 1997 | JP |
| 9265319 | Oct 1997 | JP |
| 9269807 | Oct 1997 | JP |
| 9269810 | Oct 1997 | JP |
| 9319431 | Dec 1997 | JP |
| 9319432 | Dec 1997 | JP |
| 9319434 | Dec 1997 | JP |
| 9325812 | Dec 1997 | JP |
| 10055215 | Feb 1998 | JP |
| 10113318 | May 1998 | JP |
| 10117973 | May 1998 | JP |
| 10118963 | May 1998 | JP |
| 10165738 | Jun 1998 | JP |
| 10177414 | Jun 1998 | JP |
| 10295595 | Nov 1998 | JP |
| 10314088 | Dec 1998 | JP |
| 11015941 | Jan 1999 | JP |
| 11102220 | Apr 1999 | JP |
| 11162454 | Jun 1999 | JP |
| 11174145 | Jul 1999 | JP |
| 11175149 | Jul 1999 | JP |
| 11178764 | Jul 1999 | JP |
| 11178765 | Jul 1999 | JP |
| 11212642 | Aug 1999 | JP |
| 11213157 | Aug 1999 | JP |
| 11282532 | Oct 1999 | JP |
| 11282533 | Oct 1999 | JP |
| 11295412 | Oct 1999 | JP |
| 11355558 | Dec 1999 | JP |
| 2000047728 | Feb 2000 | JP |
| 2000056006 | Feb 2000 | JP |
| 2000056831 | Feb 2000 | JP |
| 2000060782 | Feb 2000 | JP |
| 2000066722 | Mar 2000 | JP |
| 2000075925 | Mar 2000 | JP |
| 2000102499 | Apr 2000 | JP |
| 2000135186 | May 2000 | JP |
| 2000235416 | Aug 2000 | JP |
| 2000275321 | Oct 2000 | JP |
| 2000279353 | Oct 2000 | JP |
| 2000342496 | Dec 2000 | JP |
| 2000353013 | Dec 2000 | JP |
| 2000353014 | Dec 2000 | JP |
| 2001022443 | Jan 2001 | JP |
| 2001067588 | Mar 2001 | JP |
| 2001087182 | Apr 2001 | JP |
| 2001121455 | May 2001 | JP |
| 2001125641 | May 2001 | JP |
| 2001508572 | Jun 2001 | JP |
| 2001197008 | Jul 2001 | JP |
| 2001203744 | Jul 2001 | JP |
| 3197758 | Aug 2001 | JP |
| 3201903 | Aug 2001 | JP |
| 2001216482 | Aug 2001 | JP |
| 2001258807 | Sep 2001 | JP |
| 2001265437 | Sep 2001 | JP |
| 2001275908 | Oct 2001 | JP |
| 2001289939 | Oct 2001 | JP |
| 2001306170 | Nov 2001 | JP |
| 2001344161 | Dec 2001 | JP |
| 2002073170 | Mar 2002 | JP |
| 2002078650 | Mar 2002 | JP |
| 2002204768 | Jul 2002 | JP |
| 2002204769 | Jul 2002 | JP |
| 2002247510 | Aug 2002 | JP |
| 2002312275 | Oct 2002 | JP |
| 2002532180 | Oct 2002 | JP |
| 2002321180 | Nov 2002 | JP |
| 2002323925 | Nov 2002 | JP |
| 2002333920 | Nov 2002 | JP |
| 2002341937 | Nov 2002 | JP |
| 2002355206 | Dec 2002 | JP |
| 2002360471 | Dec 2002 | JP |
| 2002360482 | Dec 2002 | JP |
| 2002366227 | Dec 2002 | JP |
| 2002369778 | Dec 2002 | JP |
| 2003005296 | Jan 2003 | JP |
| 2003006532 | Jan 2003 | JP |
| 2003010076 | Jan 2003 | JP |
| 2003010088 | Jan 2003 | JP |
| 2003016203 | Jan 2003 | JP |
| 2003018670 | Jan 2003 | JP |
| 2003028528 | Jan 2003 | JP |
| 2003036116 | Feb 2003 | JP |
| 2003038401 | Feb 2003 | JP |
| 2003038402 | Feb 2003 | JP |
| 2003047579 | Feb 2003 | JP |
| 2003061882 | Mar 2003 | JP |
| 2003084994 | Mar 2003 | JP |
| 2003167628 | Jun 2003 | JP |
| 2003180586 | Jul 2003 | JP |
| 2003180587 | Jul 2003 | JP |
| 2003186539 | Jul 2003 | JP |
| 2003190064 | Jul 2003 | JP |
| 2003521204 | Jul 2003 | JP |
| 2003241836 | Aug 2003 | JP |
| 2003262520 | Sep 2003 | JP |
| 2003304992 | Oct 2003 | JP |
| 2003310509 | Nov 2003 | JP |
| 2003330543 | Nov 2003 | JP |
| 2004123040 | Apr 2004 | JP |
| 2004135993 | May 2004 | JP |
| 2004148021 | May 2004 | JP |
| 2004515090 | May 2004 | JP |
| 2004160102 | Jun 2004 | JP |
| 2004166968 | Jun 2004 | JP |
| 2004-195215 | Jul 2004 | JP |
| 2004185586 | Jul 2004 | JP |
| 2004198330 | Jul 2004 | JP |
| 2004219185 | Aug 2004 | JP |
| 2004336401 | Nov 2004 | JP |
| 2004351234 | Dec 2004 | JP |
| 2004357187 | Dec 2004 | JP |
| 2005025516 | Jan 2005 | JP |
| 2005101887 | Apr 2005 | JP |
| 2005118354 | May 2005 | JP |
| 2005192988 | Jul 2005 | JP |
| 2005211360 | Aug 2005 | JP |
| 2005218559 | Aug 2005 | JP |
| 2005224265 | Aug 2005 | JP |
| 2005230032 | Sep 2005 | JP |
| 2005230948 | Sep 2005 | JP |
| 2005245916 | Sep 2005 | JP |
| 2005296512 | Oct 2005 | JP |
| 2005324278 | Nov 2005 | JP |
| 2005352707 | Dec 2005 | JP |
| 2006043071 | Feb 2006 | JP |
| 2006155274 | Jun 2006 | JP |
| 2006164223 | Jun 2006 | JP |
| 2006227673 | Aug 2006 | JP |
| 2006247467 | Sep 2006 | JP |
| 2006260161 | Sep 2006 | JP |
| 2006293662 | Oct 2006 | JP |
| 2006296697 | Nov 2006 | JP |
| 2007034866 | Feb 2007 | JP |
| 2007213180 | Aug 2007 | JP |
| 2009015611 | Jan 2009 | JP |
| 2010198552 | Sep 2010 | JP |
| 20020037618 | May 2002 | KR |
| 20020061341 | Jul 2002 | KR |
| 9526512 | Oct 1995 | WO |
| 9530887 | Nov 1995 | WO |
| 9617258 | Jun 1996 | WO |
| 9715224 | May 1997 | WO |
| 9740734 | Nov 1997 | WO |
| 9741451 | Nov 1997 | WO |
| 9853456 | Nov 1998 | WO |
| 9905580 | Feb 1999 | WO |
| 9916078 | Apr 1999 | WO |
| 9938056 | Jul 1999 | WO |
| 9938237 | Jul 1999 | WO |
| 9943250 | Sep 1999 | WO |
| 0038026 | Jun 2000 | WO |
| 0038028 | Jun 2000 | WO |
| 0038029 | Jun 2000 | WO |
| 0004430 | Oct 2000 | WO |
| 0078410 | Dec 2000 | WO |
| 0106904 | Feb 2001 | WO |
| 0106905 | Feb 2001 | WO |
| 0155879 | Aug 2001 | WO |
| 0180703 | Nov 2001 | WO |
| 0191623 | Dec 2001 | WO |
| 0195557 | Dec 2001 | WO |
| 0224292 | Mar 2002 | WO |
| 0239864 | May 2002 | WO |
| 0239868 | May 2002 | WO |
| 02058527 | Aug 2002 | WO |
| 02062194 | Aug 2002 | WO |
| 02067744 | Sep 2002 | WO |
| 02067745 | Sep 2002 | WO |
| 02067752 | Sep 2002 | WO |
| 02069774 | Sep 2002 | WO |
| 02069775 | Sep 2002 | WO |
| 02071175 | Sep 2002 | WO |
| 02074150 | Sep 2002 | WO |
| 02075350 | Sep 2002 | WO |
| 02075356 | Sep 2002 | WO |
| 02075469 | Sep 2002 | WO |
| 02075470 | Sep 2002 | WO |
| 02081074 | Oct 2002 | WO |
| 02101477 | Dec 2002 | WO |
| 03015220 | Feb 2003 | WO |
| 03024292 | Mar 2003 | WO |
| 03040546 | May 2003 | WO |
| 03040845 | May 2003 | WO |
| 03040846 | May 2003 | WO |
| 03062850 | Jul 2003 | WO |
| 03062852 | Jul 2003 | WO |
| 2004004533 | Jan 2004 | WO |
| 2004004534 | Jan 2004 | WO |
| 2004006034 | Jan 2004 | WO |
| 2004025947 | Mar 2004 | WO |
| 2004058028 | Jul 2004 | WO |
| 2004059409 | Jul 2004 | WO |
| 2005006935 | Jan 2005 | WO |
| 2005037496 | Apr 2005 | WO |
| 2005055795 | Jun 2005 | WO |
| 2005055796 | Jun 2005 | WO |
| 2005076545 | Aug 2005 | WO |
| 2005077243 | Aug 2005 | WO |
| 2005077244 | Aug 2005 | WO |
| 2005081074 | Sep 2005 | WO |
| 2005083541 | Sep 2005 | WO |
| 2005098475 | Oct 2005 | WO |
| 2005098476 | Oct 2005 | WO |
| 2006046400 | May 2006 | WO |
| 2006061133 | Jun 2006 | WO |
| 2006068403 | Jun 2006 | WO |
| 2006073248 | Jul 2006 | WO |
| 2006089307 | Aug 2006 | WO |
| 2007028049 | Mar 2007 | WO |
| 2007036490 | Apr 2007 | WO |
| 2007065033 | Jun 2007 | WO |
| 2007137234 | Nov 2007 | WO |
| Entry |
|---|
| Andersen et al., “Landmark based navigation strategies,” SPIE Conference on Mobile Robots XIII, SPIE vol. 3525, pp. 170-181, Jan. 8, 1999. |
| Ascii, Mar. 25, 2002, http://ascii.jp/elem/000/000/330/330024/, accessed Nov. 2011, 7 pages. |
| Barker, “Navigation by the Stars—Ben Barker 4th Year Project,” Nov. 2004, 20 pages. |
| Becker et al., “Reliable Navigation Using Landmarks,” IEEE International Conference on Robotics and Automation, 0-7803-1965-6, pp. 401-406, 1995. |
| Benayad-Cherif et al., “Mobile Robot Navigation Sensors,” SPIE vol. 1831 Mobile Robots, VII, pp. 378-387, 1992. |
| Bison et al., “Using a structured beacon for cooperative position estimation,” Robotics and Autonomous Systems, 29(1):33-40, Oct. 1999. |
| Blaasvaer et al., “AMOR—An Autonomous Mobile Robot Navigation System,” Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, pp. 2266-2271, 1994. |
| Borges et al., “Optimal Mobile Robot Pose Estimation Using Geometrical Maps,” IEEE Transactions on Robotics and Automation, 18(1): 87-94, Feb. 2002. |
| Braunstingl et al., “Fuzzy Logic Wall Following of a Mobile Robot Based on the Concept of General Perception,” ICAR '95, 7th International Conference on Advanced Robotics, Sant Feliu De Guixols, Spain, pp. 367-376, Sep. 1995. |
| Bulusu et al., “Self Configuring Localization systems: Design and Experimental Evaluation,” ACM Transactions on Embedded Computing Systems, 3(1):24-60, 2003. |
| Caccia et al., “Bottom-Following for Remotely Operated Vehicles,” 5th IFAC Conference, Alaborg, Denmark, pp. 245-250, Aug. 2000. |
| U.S. Appl. No. 60/605,066 as provided to WIPO in PCT/US2005/030422, corresponding to U.S. Appl. No. 11/574,290, U.S. publication 2008/0184518, filed Aug. 27, 2004. |
| U.S. Appl. No. 60/605,181 as provided to WIPO in PCT/US2005/030422, corresponding to U.S. Appl. No. 11/574,290, U.S. publication 2008/0184518, filed Aug. 27, 2004. |
| Chae et al., “StarLITE: A new artificial landmark for the navigation of mobile robots,” http://www.irc.atr.jp/jk-nrs2005/pdf/Starlite.pdf, 4 pages, 2005. |
| Chamberlin et al., “Team 1: Robot Locator Beacon System, ” NASA Goddard SFC, Design Proposal, 15 pages, Feb. 2006. |
| Champy, “Physical management of IT assets in Data Centers using RFID technologies,” RFID 2005 University, Oct. 12-14, 2005 , 19 pages. |
| Chili, “Joystick Control for Tiny OS Robot,” http://www.eecs.berkeley.edu/Programs/ugrad/supeth/papers2002/chiri.pdf. 12 pages, Aug. 2002. |
| Christensen et al. “Theoretical Methods for Planning and Control in Mobile Robotics,” 1997 First International Conference on Knowledge-Based Intelligent Electronic Systems, Adelaide, Australia, pp. 81-86, May 1997. |
| CleanMate 365, Intelligent Automatic Vacuum Cleaner, Model No. QQ-1, User Manual www.metapo.com/support/user—manual.pdf 11 pages. |
| Clerentin et al., “A localization method based on two omnidirectional perception systems cooperation,” Proc of IEEE International Conference on Robotics & Automation, San Francisco, CA vol. 2, pp. 1219-1224, Apr. 2000. |
| Corke, “High Performance Visual serving for robots end-point control,” SPIE vol. 2056, Intelligent Robots and Computer Vision, 1993, 10 pages. |
| Cozman et al., “Robot Localization using a Computer Vision Sextant,” IEEE International Midwest Conference on Robotics and Automation, pp. 106-111, 1995. |
| D'Orazio et al., “Model based Vision System for mobile robot position estimation”, SPIE, vol. 2058 Mobile Robots VIII, pp. 38-49, 1992. |
| De Bakker et al., “Smart PSD-array for sheet of light range imaging”, Proc. of SPIE, vol. 3965, pp. 1-12, May 2000. |
| Denning Roboscrub image (1989), 1 page. |
| Desaulniers et al., “An Efficient Algorithm to find a shortest path for a car-like Robot,” IEEE Transactions on robotics and Automation , 11(6):819-828, Dec. 1995. |
| Dorfmüller-Ulhaas, “Optical Tracking From User Motion to 3D Interaction,” http://www.cg.tuwien.ac.at/research/publications/2002/Dorfmueller-Ulhaas-thesis, 182 pages, 2002. |
| Dorsch et al., “Laser Triangulation. Fundamental uncertainty in distance measurement,” Applied Optics, 33(7):1306-1314, Mar. 1994. |
| Doty et al., “Sweep Strategies for a Sensory-Driven, Behavior-Based Vacuum Cleaning Agent,” AAAI 1993 Fall Symposium Series, Instantiating Real-World Agents, pp. 1-6, Oct. 22-24, 1993. |
| Dudek et al., “Localizing a Robot with Minimum Travel” Proceedings of the sixth annual ACM-SIAM symposium on Discrete Algorithms, 27(2):583-604, Apr. 1998. |
| Dulimarta et al., “Mobile Robot Localization in Indoor Environment”, Pattern Recognition, 30(1):99-111, 1997. |
| Dyson's Robot Vacuum Cleaner—the DC06, May 2004, Retrieved from the Internet: URL< http://www.gizmag.com/go/1282/>. Accessed Nov. 2011, 3 pages. |
| EBay, “Roomba Timer -> Timed Cleaning—Floorvac Robotic Vacuum,” Retrieved from the Internet: URL Cgi.ebay.com/ws/eBay|SAP|.dll?viewitem&category=43526&item=4375198387&rd=1, 5 pages, Apr. 2005. |
| Electrolux Trilobite, “Time to enjoy life,” Retrieved from the Internet: URL<http://www.robocon.co.kr/trilobite/Presentation—Trilobite—Kor—030104.ppt, 26 pages, accessed Dec. 2011. |
| Electrolux Trilobite, Jan. 12, 2001, http://www.electroluxui.com:8080/2002%5C822%5C833102EN.pff, accessed Jul. 2, 2012, 10 pages. |
| Electrolux, “Designed for the well-lived home,” Retrieved from the Internet: URL<http://www.electroluxusa.com/node57.as[?currentURL=node142.asp%3F >. Accessed Mar. 2005, 5 pages. |
| Electrolux, “Welcome to the Electrolux trilobite,” Retrieved from the Internet: URL<www.electroluxusa.com/node57.asp?currentURL=node142.asp%3F>. 2 pages, Mar. 2005. |
| Eren et al., “Accuracy in position estimation of mobile robots based on coded infrared signal transmission,” Proceedings: Integrating Intelligent Instrumentation and Control, Instrumentation and Measurement Technology Conference, 1995, IMTC/95. pp. 548-551, 1995. |
| Eren et al., “Operation of Mobile Robots in a Structured Infrared Environment,” Proceedings ‘Sensing, Processing, Networking’, IEEE Instrumentation and Measurement Technology Conference, 1997 (IMTC/97), Ottawa, Canada vol. 1, pp. 20-25, May 1997. |
| Euroflex Intelligente Monstre, (English excerpt only), 2006, 15 pages. |
| Euroflex, Jan. 2006, Retrieved from the Internet: URL< http://www.euroflex.tv/novita—dett.php?id=15, accessed Nov. 2011, 1 page. |
| eVac Robotic Vacuum S1727 Instruction Manual, Sharper Image Corp, Copyright 2004, 16 pages. |
| Everyday Robots, “Everyday Robots: Reviews, Discussion and News for Consumers,” Aug. 2004, Retrieved from the Internet: URL< www.everydayrobots.com/index.php?option=content&task=view&id=9> (Sep. 2012), 4 pages. |
| Evolution Robotics, “NorthStar—Low-cost Indoor Localiztion—How it Works,” E Evolution Robotics , 2 pages, 2005. |
| Facchinetti Claudio et al., “Self-Positioning Robot Navigation Using Ceiling Images Sequences,” ACCV '95, 5 pages, Dec. 1995. |
| Facchinetti Claudio et al., “Using and Learning Vision-Based Self-Positioning for Autonomous Robot Navigation,” ICARCV '94, vol. 3, pp. 1694-1698, 1994. |
| Facts on Trilobite, webpage, Retrieved from the Internet: URL< http://trilobiteelectroluxse/presskit—en/model11335asp?print=yes&pressID=>. 2 pages, accessed Dec. 2003. |
| Fairfield et al., “Mobile Robot Localization with Sparse Landmarks,” SPIE vol. 4573, pp. 148-155, 2002. |
| Favre-Bulle, “Efficient tracking of 3D—Robot Position by Dynamic Triangulation,” IEEE Instrumentation and Measurement Technology Conference IMTC 98 Session on Instrumentation and Measurement in Robotics, vol. 1, pp. 446-449, May 1998. |
| Fayman, “Exploiting Process Integration and Composition in the context of Active Vision,” IEEE Transactions on Systems, Man, and Cybernetics—Part C: Application and reviews, vol. 29, No. 1, pp. 73-86, Feb. 1999. |
| Flombot GE Plastics—IMAGE, available at http://www.fuseid.com/, 1989-1990, Accessed Sep. 2012, 1 page. |
| Franz et al., “Biomimetric robot navigation”, Robotics and Autonomous Systems, vol. 30 pp. 133-153, 2000. |
| Friendly Robotics, “Friendly Robotics—Friendly Vac, Robotic Vacuum Cleaner,” Retrieved from the Internet: URL< www.friendlyrobotics.com/vac.htm > 5 pages, Apr. 2005. |
| Friendly Robotics, Retrieved from the Internet: URL<http://www.robotsandrelax.com/PDFs/RV400Manual.pdf>. 18 pages, accessed Dec. 2011. |
| Fuentes et al., “Mobile Robotics 1994,” University of Rochester. Computer Science Department, TR 588, 44 pages, Dec. 1994. |
| Fukuda et al., “Navigation System based on Ceiling Landmark Recognition for Autonomous mobile robot,” 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems 95. ‘Human Robot Interaction and Cooperative Robots’, Pittsburgh, PA, pp. 1466/1471, Aug. 1995. |
| Gat, “Robust Low-Computation Sensor-driven Control for Task-Directed Navigation,” Proc of IEEE International Conference on Robotics and Automation , Sacramento, CA pp. 2484-2489, Apr. 1991. |
| Gionis, “A hand-held optical surface scanner for environmental Modeling and Virtual Reality,” Virtual Reality World, 16 pages, 1996. |
| Goncalves et al., “A Visual Front-End for Simultaneous Localization and Mapping”, Proceedings of the 2005 IEEE International Conference on Robotics and Automation, Barcelona, Spain, pp. 44-49, Apr. 2005. |
| Gregg et al., “Autonomous Lawn Care Applications,” 2006 Florida Conference on Recent Advances in Robotics, Miami, Florida, May 25-26, 2006, Florida International University, 5 pages. |
| Grumet, “Robots Clean House,” Popular Mechanics, Nov. 2003, 3 pages. |
| Hamamatsu “SI PIN Diode S5980, S5981 S5870—Multi-element photodiodes for surface mounting,” Hamatsu Photonics, 2 pages, Apr. 2004. |
| Hammacher Schlemmer , “Electrolux Trilobite Robotic Vacuum,” Retrieved from the Internet: URL< www.hammacher.com/publish/71579.asp?promo=xsells>. 3 pages, Mar. 2005. |
| Haralick et al. “Pose Estimation from Corresponding Point Data”, IEEE Transactions on Systems, Man, and Cybernetics, 19(6):1426-1446, Nov. 1989. |
| Hausler, “About the Scaling Behaviour of Optical Range Sensors,” Fringe '97, Proceedings of the 3rd International Workshop on Automatic Processing of Fringe Patterns, Bremen, Germany, pp. 147-155, Sep. 1997. |
| Hitachi ‘Feature’, http://kadenfan.hitachi.co.jp/robot/feature/feature.html, Accessed Nov. 19, 2008, 1 page. |
| Hitachi, http://www.hitachi.co.jp/New/cnews/hi—030529—hi—030529.pdf , 8 pages, May 29, 2003. |
| Hitachi: News release: “The home cleaning robot of the autonomous movement type (experimental machine),” Retrieved from the Internet: URL< www.i4u.com./japanreleases/hitachirobot.htm>. 5 pages, Mar. 2005. |
| Hoag et al., “Navigation and Guidance in interstellar space,” ACTA Astronautica, vol. 2, pp. 513-533 , Feb. 1975. |
| Home Robot—UBOT; Microbotusa.com, retrieved from the WWW at www.microrobotusa.com, accessed Dec. 2, 2008, 2 pages. |
| Huntsberger et al., “CAMPOUT: A Control Architecture for Tightly Coupled Coordination of Multirobot Systems for Planetary Surface Exploration,” IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans, 33(5):550-559, Sep. 2003. |
| Iirobotics.com, “Samsung Unveils Its Multifunction Robot Vacuum,” Retrieved from the Internet: URL<.www.iirobotics.com/webpages/hotstuff.php?ubre=111>. 3 pages, Mar. 2005. |
| InMach “Intelligent Machines,” Retrieved from the Internet: URL<www.inmach.de/inside.html> 1 page , Nov. 2008. |
| Innovation First, “2004 EDU Robot Controller Reference Guide,” Retrieved from the Internet: URL<http://www.ifirobotics.com>. 13 pages, Mar. 2004. |
| IT media, Retrieved from the Internet: URL<http://www.itmedia.co.jp/news/0111/16/robofesta—m.html> Accessed Nov. 1, 2011, 4 pages. |
| It's eye, Retrieved from the Internet: URL< www.hitachi.co.jp/rd/pdf/topics/hitac2003—10.pdf>. 2 pages, 2003. |
| Jarosiewicz et al., “Final Report—Lucid,” University of Florida, Departmetn of Electrical and Computer Engineering, EEL 5666—Intelligent Machine Design Laboratory, 50 pages, Aug. 1999. |
| Jensfelt et al., “Active Global Localization for a mobile robot using multiple hypothesis tracking,” IEEE Transactions on Robots and Automation, 17(5): 748-760, Oct. 2001. |
| Jeong et al., “An intelligent map-building system for indoor mobile robot using low cost photo sensors,” SPIE, vol. 6042, 6 pages, 2005. |
| Kahney, “Robot Vacs are in the House,” Retrieved from the Internet: URL<www.wired.com/news/technology/o,1282,59237,00.html>. 6 pages, Jun. 2003. |
| Karcher “Karcher RoboCleaner RC 3000,” Retrieved from the Internet: URL<www.robocleaner.de/english/screen3.html> 4 pages, Dec. 2003. |
| Karcher Product Manual Download webpage: Retrieved from the Internet: URL<http://www.karcher.com/bta/download.en.shtml?ACTION=SELECTTEILENR&ID=rc3000&submitButtonName=Select+Product+Manual and associated .pdf file “5959-915en.pdf (4.7 MB) English/English,” 16 pages, accessed Jan. 2004. |
| Karcher RC 3000 Cleaning Robot-user manual Manufacturer: Alfred-Karcher GmbH & Co, Cleaning Systems, Alfred Karcher-Str 28-40, PO Box 160, D-71349 Winnenden, Germany, Dec. 2002, 8 pages. |
| Karcher RC3000 RoboCleaner,—IMAGE, Accessed at <http://www.karcher.de/versions/int/assets/video/2—4—robo—en.swf>. Accessed Sep. 2009, 1 page. |
| Karcher USA, RC3000 Robotic Cleaner, website: http://www.karcher-usa.com/showproducts.php?op=view prod¶ml=143¶m2=¶m3=, 3 pages, accessed Mar. 2005. |
| Karcher, “Product Manual Download Karch”, available at www.karcher.com, 16 pages, 2004. |
| Karlsson et al, “Core Technologies for service Robotics,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004), vol. 3, pp. 2979-2984, Sep. 2004. |
| Karlsson et al., The vSLAM Algorithm for Robust Localization and Mapping, Proceedings of the 2005 IEEE International Conference on Robotics and Automation, Barcelona, Spain, pp. 24-29, Apr. 2005. |
| King and Weiman, “HelpmateTM Autonomous Mobile Robots Navigation Systems,” SPIE vol. 1388 Mobile Robots, pp. 190-198, 1990. |
| Kleinberg, The Localization Problem for Mobile Robots, Laboratory for Computer Science, Massachusetts Institute of Technology, 1994 IEEE, pp. 521-531, 1994. |
| Knights, et al., “Localization and Identification of Visual Landmarks,” Journal of Computing Sciences in Colleges, 16(4):312-313, May 2001. |
| Kolodko et al., “Experimental System for Real-Time Motion Estimation,” Proceedings of the 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2003), pp. 981-986, 2003. |
| Komoriya et al., “Planning of Landmark Measurement for the Navigation of a Mobile Robot,” Proceedings of the 1992 IEEE/RSJ International Cofnerence on Intelligent Robots and Systems, Raleigh, NC pp. 1476-1481, Jul. 1992. |
| Koolvac Robotic Vacuum Cleaner Owner's Manual, Koolatron, 2004, 13 pages. |
| Krotkov et al., “Digital Sextant,” Downloaded from the internet at: http://www.cs.cmu.edu/˜epk/ , 1 page, 1995. |
| Krupa et al., “Autonomous 3-D Positioning of Surgical Instruments in Robotized Laparoscopic Surgery Using Visual Servoin,” IEEE Transactions on Robotics and Automation, 19(5):842-853, Oct. 2003. |
| Kuhl et al., “Self Localization in Environments using Visual Angles,” VRCAI '04 Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry, pp. 472-475, 2004. |
| Kurs et al, Wireless Power transfer via Strongly Coupled Magnetic Resonances, Downloaded from www.sciencemag.org, Aug. 2007, 5 pages. |
| Kurth, “Range-Only Robot Localization and SLAM with Radio”, http://www.ri.cmu.edu/pub—files/pub4/kurth—derek—2004—1/kurth—derek—2004—1.pdf. 60 pages, May, 2004, accessed Jul. 27, 2012. |
| Kwon et al., “Table Recognition through Range-based Candidate Generation and Vision based Candidate Evaluation,” ICAR 2007, The 13th International Conference on Advanced Robotics Aug. 21-24, 2007, Jeju, Korea, pp. 918-923, 2007. |
| Lambrinos et al., “A mobile robot employing insect strategies for navigation,” Retrieved from the Internat: URL<http://www8.cs.umu.se/kurser/TDBD17/VT04/dl/Assignment%20Papers/lambrinos-RAS-2000.pdf>. 38 pages, Feb. 1999. |
| Lang et al., “Visual Measurement of Orientation Using Ceiling Features”, 1994 IEEE, pp. 552-555, 1994. |
| Lapin, “Adaptive position estimation for an automated guided vehicle,” SPIE, vol. 1831 Mobile Robots VII, pp. 82-94, 1992. |
| LaValle et al., “Robot Motion Planning in a Changing, Partially Predictable Environment,” 1994 IEEE International Symposium on Intelligent Control, Columbus, OH, pp. 261-266, Aug. 1994. |
| Lee et al., “Development of Indoor Navigation system for Humanoid Robot Using Multi-sensors Integration”, ION NTM, San Diego, CA pp. 798-805, Jan. 2007. |
| Lee et al., “Localization of a Mobile Robot Using the Image of a Moving Object,” IEEE Transaction on Industrial Electronics, 50(3):612-619, Jun. 2003. |
| Leonard et al., “Mobile Robot Localization by tracking Geometric Beacons,” IEEE Transaction on Robotics and Automation, 7(3):376-382, Jun. 1991. |
| Li et al. “Robust Statistical Methods for Securing Wireless Localization in Sensor Networks,” Information Processing in Sensor Networks, 2005, Fourth International Symposium on, pp. 91-98, Apr. 2005. |
| Li et al., “Making a Local Map of Indoor Environments by Swiveling a Camera and a Sonar,” Proceedings of the 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 954-959, 1999. |
| Lin et al., “Mobile Robot Navigation Using Artificial Landmarks,” Journal of robotics System, 14(2): 93-106, 1997. |
| Linde, Dissertation—“On Aspects of Indoor Localization,” Available at: https://eldorado.tu-dortmund.de/handle/2003/22854, University of Dortmund, 138 pages, Aug. 2006. |
| Lumelsky et al., “An Algorithm for Maze Searching with Azimuth Input”, 1994 IEEE International Conference on Robotics and Automation, San Diego, CA vol. 1, pp. 111-116, 1994. |
| Luo et al., “Real-time Area-Covering Operations with Obstacle Avoidance for Cleaning Robots,” IEEE, pp. 2359-2364, 2002. |
| Luo et al., “Networked intelligent robots through the Internet: Issues and Opportunities,” Proceedings of the IEEE, Mar. 2003, 91(3):371-382. |
| Luo et al., “Development of a multibehavior-based mobile robot for remote supervisory control through the Internet,” IEEE/ASME Transactions on Mechatronics, 2000, 5(4):376-385. |
| Ma, Thesis—“Documentation on Northstar,” California Institute of Technology, 14 pages, May 2006. |
| Madsen et al., “Optimal landmark selection for triangulation of robot position,” Journal of Robotics and Autonomous Systems, vol. 13 pp. 277-292, 1998. |
| Malik et al., “Virtual Prototyping for Conceptual Design of a Tracked Mobile Robot,” Electrical and Computer Engineering, Canadian Conference on, IEEE, PI. pp. 2349-2352, May 2006. |
| Martishevcky, “The Accuracy of point light target coordinate determination by dissectoral tracking system”, SPIE vol. 2591, pp. 25-30, Oct. 23, 2005. |
| Maschinemarkt Wiirzburg 105, No. 27, pp. 3, 30, Jul. 5, 1999. |
| Matsumura Camera Online Shop: Retrieved from the Internet: URL< http://www.rakuten.co.jp/matsucame/587179/711512/. Accessed Nov. 2011, 7 pages. |
| Matsutek Enterprises Co. Ltd, “Automatic Rechargeable Vacuum Cleaner,” http://matsutek.manufacturer.globalsources.com/si/6008801427181/pdtl/Home-vacuum/10 . . . , Apr. 2007, 3 pages. |
| McGillem et al., “Infra-red Lacation System for Navigation and Autonomous Vehicles,” 1988 IEEE International Conference on Robotics and Automation, vol. 2, pp. 1236-1238, Apr. 1988. |
| McGillem,et al. “A Beacon Navigation Method for Autonomous Vehicles,” IEEE Transactions on Vehicular Technology, 38(3):132-139, Aug. 1989. |
| McLurkin “Stupid Robot Tricks: A Behavior-based Distributed Algorithm Library for Programming Swarms of Robots,” Paper submitted for requirements of BSEE at MIT, May 2004, 127 pages. |
| McLurkin, “The Ants: A community of Microrobots,” Paper submitted for requirements of BSEE at MIT, May 1995, 60 pages. |
| Miro et al., “Towards Vision Based Navigation in Large Indoor Environments,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Beijing, China, pp. 2096-2102, Oct. 2006. |
| Miwako Doi “Using the symbiosis of human and robots from approaching Research and Development Center,” Toshiba Corporation, 16 pages, available at http://warp.ndl.go.jp/info:ndljp/pid/258151/www.soumu.go.jp/joho—tsusin/policyreports/chousa/netrobot/pdf/030214—1—33—a.pdf, 2003. |
| MobileMag, “Samsung Unveils High-tech Robot Vacuum Cleaner,” Retrieved from the Internet: URL<http://www.mobilemag.com/content/100/102/C2261/. 4 pages, Mar. 2005. |
| Monteiro et al., “Visual Servoing for Fast Mobile Robot: Adaptive Estimation of Kinematic Parameters,” Proceedings of the IECON '93., International Conference on Industrial Electronics, Maui, HI, pp. 1588-1593, Nov. 1993. |
| Moore et al., “A simple Map-bases Localization strategy using range measurements,” SPIE, vol. 5804 pp. 612-620, 2005. |
| Morland,“Autonomous Lawnmower Control”, Downloaded from the internet at: http://cns.bu.edu/˜cjmorlan/robotics/lawnmower/report.pdf, 10 pages, Jul. 2002. |
| Munich et al., “ERSP: A Software Platform and Architecture for the Service Robotics Industry,” Intelligent Robots and Systems, 2005. (IROS 2005), pp. 460-467, Aug. 2005. |
| Munich et al., “SIFT-ing Through Features with ViPR”, IEEE Robotics & Automation Magazine, pp. 72-77, Sep. 2006. |
| Nam et al., “Real-Time Dynamic Visual Tracking Using PSD Sensors and extended Trapezoidal Motion Planning”, Applied Intelligence 10, pp. 53-70, 1999. |
| Nitu et al., “Optomechatronic System for Position Detection of a Mobile Mini-Robot,” IEEE Ttransactions on Industrial Electronics, 52(4):969-973, Aug. 2005. |
| On Robo, “Robot Reviews Samsung Robot Vacuum (VC-RP30W),” Retrieved from the Internet: URL <www.onrobo.com/reviews/AT—Home/vacuum—cleaners/on00vcrb30rosam/index.htm>. 2 pages, 2005. |
| OnRobo “Samsung Unveils Its Multifunction Robot Vacuum,” Retrieved from the Internet: URL <www.onrobo.com/enews/0210/samsung—vacuum.shtml> 3 pages, Mar. 2005. |
| Pages et al., “A camera-projector system for robot positioning by visual serving,” Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW06), 8 pages, Jun. 2006. |
| Pages et al., “Optimizing Plane-to-Plane Positioning Tasks by Image-Based Visual Servoing and Structured Light,” IEEE Transactions on Robotics, 22(5):1000-1010, Oct. 2006. |
| Pages et al., “Robust decoupled visual servoing based on structured light,” 2005 IEEE/RSJ, Int. Conf. on Intelligent Robots and Systems, pp. 2676-2681, 2005. |
| Park et al., “A Neural Network Based Real-Time Robot Tracking Controller Using Position Sensitive Detectors,” IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on Neutral Networks, Orlando, Florida pp. 2754-2758, Jun./Jul. 1994. |
| Park et al., “Dynamic Visual Servo Control of Robot Manipulators using Neutral Networks,” The Korean Institute Telematics and Electronics, 29-B(10):771-779, Oct. 1992. |
| Paromtchik “Toward Optical Guidance of Mobile Robots,” Proceedings of the Fourth World Multiconference on Systemics, Cybermetics and Informatics, Orlando, FL, USA, Jul. 23, 2000, vol. IX, pp. 44-49, available at http://emotion.inrialpes.fr/˜paromt/infos/papers/paromtchik:asama:sci:2000.ps.gz, accessed Jul. 3, 2012, 6 pages. |
| Paromtchik et al., “Optical Guidance System for Multiple mobile Robots,” Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation, vol. 3, pp. 2935-2940, May 2001. |
| Penna et al., “Models for Map Building and Navigation”, IEEE Transactions on Systems. Man. and Cybernetics., 23(5):1276-1301, Sep./Oct. 1993. |
| Pirjanian et al. “Representation and Execution of Plan Sequences for Multi-Agent Systems,” Proceedings of the 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems, Maui, Hawaii, pp. 2117-2123, Oct. 2001. |
| Pirjanian et al., “A decision-theoretic approach to fuzzy behavior coordination”, 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation, 1999. CIRA '99., Monterey, CA, pp. 101-106, Nov. 1999. |
| Pirjanian et al., “Distributed Control for a Modular, Reconfigurable Cliff Robot,” Proceedings of the 2002 IEEE International Conference on Robotics & Automation, Washington, D.C. pp. 4083-4088, May 2002. |
| Pirjanian et al., “Improving Task Reliability by Fusion of Redundant Homogeneous Modules Using Voting Schemes,” Proceedings of the 1997 IEEE International Conference on Robotics and Automation, Albuquerque, NM, pp. 425-430, Apr. 1997. |
| Pirjanian et al., “Multi-Robot Target Acquisition using Multiple Objective Behavior Coordination,” Proceedings of the 2000 IEEE International Conference on Robotics & Automation, San Francisco, CA, pp. 2696-2702, Apr. 2000. |
| Pirjanian, “Challenges for Standards for consumer Robotics,” IEEE Workshop on Advanced Robotics and its Social impacts, pp. 260-264, Jun. 2005. |
| Pirjanian, “Reliable Reaction,” Proceedings of the 1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 158-165, 1996. |
| Popco.net, “Make your digital life,” Retrieved from the Internet: URL<http://www.popco.net/zboard/view.php?id=tr—review&no=40>. 14 pages, Accessed Nov. 2011. |
| Prassler et al., “A Short History of Cleaning Robots,” Autonomous Robots 9, 211-226, 2000, 16 pages. |
| Put Your Roomba . . . On, Automatic webpages: http://www.acomputeredge.com/roomba, 5 pages, accessed Apr. 2005. |
| Remazeilles et al., “Image based robot navigation in 3D environments,” Proc. of SPIE, vol. 6052, pp. 1-14, Dec. 2005. |
| Rives et al., “Visual servoing based on ellipse features,” SPIE, vol. 2056 Intelligent Robots and Computer Vision pp. 356-367, 1993. |
| Roboking—not just a vacuum cleaner, a robot!, Jan. 21, 2004, infocom.uz/2004/01/21/robokingne-prosto-pyilesos-a-robot/, accessed Oct. 10, 2011, 5 pages. |
| RoboMaid Sweeps Your Floors So You Won't Have to, the Official Site, website: Retrieved from the Internet: URL<http://therobomaid.com/. 2 pages, accessed Mar. 2005. |
| Robot Buying Guide, “LG announces the first robotic vacuum cleaner for Korea,” Retrieved from the Internet: URL<http://robotbg.com/news/2003/04/22/lg—announces—the—first—robotic—vacu>. 1 page, Apr. 2003. |
| Robotics World, “A Clean Sweep,” 5 pages, Jan. 2001. |
| Ronnback, “On Methods for Assistive Mobile Robots,” Retrieved from the Internet: URL<http://www.openthesis.org/documents/methods-assistive-mobile-robots-595019.html>. 218 pages, Jan. 2006. |
| Roth-Tabak et al., “Environment Model for mobile Robots Indoor Navigation,” SPIE, vol. 1388 Mobile Robots, pp. 453-463, 1990. |
| Sahin et al., “Development of a Visual Object Localization Module for Mobile Robots,” 1999 Third European Workshop on Advanced Mobile Robots, (Eurobot '99), pp. 65-72, 1999. |
| Salomon et al., “Low-Cost Optical Indoor Localization system for Mobile Objects without Image Processing,” IEEE Conference on Emerging Technologies and Factory Automation, 2006. (ETFA '06), pp. 629-632, Sep. 2006. |
| Sato, “Range Imaging Based on Moving Pattern Light and Spatio-Temporal Matched Filter,” Proceedings International Conference on Image Processing, vol. 1., Lausanne, Switzerland, pp. 33-36, Sep. 1996. |
| Schenker et al., “Lightweight rovers for Mars science exploration and sample return,” Intelligent Robots and Computer Vision XVI, SPIE Proc. 3208, pp. 24-36, 1997. |
| Schofield, “Neither Master nor slave—A Practical Study in the Development and Employment of Cleaning Robots, Emerging Technologies and Factory Automation,” 1999 Proceedings ETFA '99 1999 7th IEEE International Conference on Barcelona, Spain, pp. 1427-1434, Oct. 1999. |
| Shimoga et al., “Touch and Force Reflection for Telepresence Surgery,” Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE, Baltimore, MD, pp. 1049-1050, 1994. |
| Sim et al, “Learning Visual Landmarks for Pose Estimation,” IEEE International Conference on Robotics and Automation, vol. 3, Detroit, MI, pp. 1972-1978, May 1999. |
| Sobh et al., “Case Studies in Web-Controlled Devices and Remote Manipulation,” Automation Congress, 2002 Proceedings of the 5th Biannual World, pp. 435-440, Dec. 2002. |
| Special Reports, “Vacuum Cleaner Robot Operated in Conjunction with 3G Celluar Phone,” 59(9): 3 pages, Retrieved from the Internet: URL<http://www.toshiba.co.jp/tech/review/2004/09/59—0>. 2004. |
| Stella et al., “Self-Location for Indoor Navigation of Autonomous Vehicles,” Part of the SPIE conference on Enhanced and Synthetic Vision SPIE vol. 3364, pp. 298-302, 1998. |
| Summet, “Tracking Locations of Moving Hand-held Displays Using Projected Light,” Pervasive 2005, LNCS 3468, pp. 37-46, 2005. |
| Svedman et al., “Structure from Stereo Vision using Unsynchronized Cameras for Simultaneous Localization and Mapping,” 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2993-2998, 2005. |
| SVET Computers—New Technologies—Robot Vacuum Cleaner, Oct. 1999, available at http://www.sk.rs/1999/10/sknt01.html, 1 page, accessed Nov. 1, 2011. |
| Taipei Times, “Robotic vacuum by Matsuhita about to undergo testing,” Retrieved from the Internet: URL<http://www.taipeitimes.com/News/worldbiz/archives/2002/03/26/0000129338>. accessed Mar. 2002, 2 pages. |
| Takio et al., “Real-Time Position and Pose Tracking Method of Moving Object Using Visual Servo System,” 47th IEEE International Symposium on Circuits and Systems, pp. 167-170, 2004. |
| Tech-on!, Retrieved from the Internet: URL<http://techon.nikkeibp.co.jp/members/01db/200203/1006501/>. 4 pages, accessed Nov. 2011. |
| Teller, “Pervasive pose awareness for people, Objects and Robots,” http://www.ai.mit.edu/lab/dangerous-ideas/Spring2003/teller-pose.pdf, 6 pages, Apr. 2003. |
| Terada et al., “An Acquisition of the Relation between Vision and Action using Self-Organizing Map and Reinforcement Learning,” 1998 Second International Conference on Knowledge-Based Intelligent Electronic Systems, Adelaide, Australia, pp. 429-434, Apr. 1998. |
| The Sharper Image, eVac Robotic Vacuum—Product Details, www.sharperiamge.com/us/en/templates/products/pipmorework1printable.jhtml, 1 page, Accessed Mar. 2005. |
| TheRobotStore.com, “Friendly Robotics Robotic Vacuum RV400—The Robot Store,” www.therobotstore.com/s.nl/sc.9/category.-109/it.A/id.43/.f, 1 page, Apr. 2005. |
| Thrun, Sebastian, “Learning Occupancy Grid Maps With Forward Sensor Models,” Autonomous Robots 15, 28 pages, Sep. 1, 2003. |
| TotalVac.com, RC3000 RoboCleaner website, 2004, Accessed at http://ww.totalvac.com/robot—vacuum.htm (Mar. 2005), 3 pages. |
| Trebi-Ollennu et al., “Mars Rover Pair Cooperatively Transporting a Long Payload,” Proceedings of the 2002 IEEE International Conference on Robotics & Automation, Washington, D.C. pp. 3136-3141, May 2002. |
| Tribelhorn et al., “Evaluating the Roomba: A low-cost, ubiquitous platform for robotics research and education,” IEEE, pp. 1393-1399, 2007. |
| Tse et al., “Design of a Navigation System for a Household Mobile Robot Using Neural Networks,” Department of Manufacturing Engg. & Engg. Management, City University of Hong Kong, pp. 2151-2156, 1998. |
| UAMA (Asia) Industrial Co., Ltd., “RobotFamily,” 2005, 1 page. |
| UBOT, cleaning robot capable of wiping with a wet duster, Retrieved from the Internet: URL<http://us.aving.net/news/view.php?articleId=23031>. 4 pages, accessed Nov. 2011. |
| Watanabe et al., “Position Estimation of Mobile Robots With Internal and External Sensors Using Uncertainty Evolution Technique,” 1990 IEEE International Conference on Robotics and Automation, Cincinnati, OH, pp. 2011-2016, May 1990. |
| Watts, “Robot, boldly goes where no man can,” The Times—pp. 20, Jan. 1985. |
| Wijk et al., “Triangulation-Based Fusion of Sonar Data with Application in Robot Pose Tracking,” IEEE Transactions on Robotics and Automation, 16(6):740-752, Dec. 2000. |
| Winfield et al., “The application of wireless local area network technology to the control of mobile robots,” Microprocessors and Microsystems, 2000, vol. 23, pp. 597-607. |
| Wolf et al., “Robust Vision-Based Localization by Combining an Image-Retrieval System with Monte Carol Localization,”, IEEE Transactions on Robotics, 21(2):208-216, Apr. 2005. |
| Wolf et al., “Robust Vision-based Localization for Mobile Robots Using an Image Retrieval System Based on Invariant Features,” Proceedings of the 2002 IEEE International Conference on Robotics & Automation, Washington, D.C., pp. 359-365, May 2002. |
| Wong, “EIED Online>> Robot Business”, ED Online ID# 13114, 17 pages, Jul. 2006. |
| Yamamoto et al., “Optical Sensing for Robot Perception and Localization,” 2005 IEEE Workshop on Advanced Robotics and its Social Impacts, pp. 14-17, 2005. |
| Yata et al., “Wall Following Using Angle Information Measured by a Single Ultrasonic Transducer,” Proceedings of the 1998 IEEE, International Conference on Robotics & Automation, Leuven, Belgium, pp. 1590-1596, May 1998. |
| Yujin Robotics,“An intelligent cleaning robot,” Retrieved from the Internet: URL<http://us.aving.net/news/view.php?articleId=7257>. 8 pages, accessed Nov. 2011. |
| Yun et al., “Image-Based Absolute Positioning System for Mobile Robot Navigation,” IAPR International Workshops SSPR, Hong Kong, pp. 261-269, Aug. 2006. |
| Yun et al., “Robust Positioning a Mobile Robot with Active Beacon Sensors,” Lecture Notes in Computer Science, 2006, vol. 4251, pp. 890-897, 2006. |
| Yuta et al., “Implementation of an Active Optical Range sensor Using Laser Slit for In-Door Intelligent Mobile Robot,” IEE/RSJ International Workshop on Intelligent Robots and Systems (IROS 91) vol. 1, Osaka, Japan, pp. 415-420, Nov. 3-5, 1991. |
| Zha et al., “Mobile Robot Localization Using Incomplete Maps for Change Detection in a Dynamic Environment,” Advanced Intelligent Mechatronics '97. Final Program and Abstracts., IEEE/ASME International Conference, pp. 110, Jun. 1997. |
| Zhang et al., “A Novel Mobile Robot Localization Based on Vision,” SPIE vol. 6279, 6 pages, Jan. 2007. |
| Zoombot Remote Controlled Vaccuum—RV-500 NEW Roomba 2, website: http://cgi.ebay.com/ws/eBayISAPI.dll?ViewItem&category=43526&item=4373497618&rd=1, accessed Apr. 20, 2005, 7 pages. |
| Maxwell et al, “Alfred: The Robot Waiter who Remembers You,” Proceedings of AAAI Workshop on Robotics, Jul. 1, 1999, 12 pages. |
| European Search Report issued in EP Application No. 12179853.2, dated Jan. 7, 2013, 4 pages. |
| European Search Report issued in EP Application No. 12179855.7, dated Jan. 7, 2013, 3 pages. |
| European Search Report issued in EP Application No. 12179857.3, dated Jan. 7, 2013, 6 pages. |
| European Search Report issued in EP Application No. 12155298.8, dated Aug. 8, 2012, 6 pages. |
| International Preliminary Report on Patentability issued in International Application No. PCT/US2006/046398, dated Oct. 13, 2008, 6 pages. |
| International Search Report and Written Opinion issued in International Application No. PCT/US2006/046398, mailed Oct. 31, 2007, 12 pages. |
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