The present invention relates generally to cleaning apparatus, and, more particularly, to a debris sensor for sensing instantaneous strikes by debris in a cleaning path of a cleaning apparatus and for enabling control of an operational mode of the cleaning apparatus. The term “debris” is used herein to collectively denote dirt, dust and/or other particulates or objects that might be collected by a vacuum cleaner or other cleaning apparatus, whether autonomous or non-autonomous.
Debris sensors, including some suitable for cleaning apparatus, are known in the art. Debris sensors can be useful in autonomous cleaning devices like those disclosed in the above-referenced patent applications, and can also be useful in non-autonomous cleaning devices, whether to indicate to the user that a particularly dirty area is being entered, to increase a power setting in response to detection of debris, or to modify some other operational setting.
Examples of debris sensors are disclosed in the following: TABLE-US-00001 De Brey U.S. Pat. No. 3,674,316 De Brey U.S. Pat. No. 3,989,311 De Brey U.S. Pat. No. 4,175,892 Kurz U.S. Pat. No. 4,601,082 Westergren U.S. Pat. No. 4,733,430 Martin U.S. Pat. No. 4,733,431 Harkonen U.S. Pat. No. 4,829,626 Takashima U.S. Pat. No. 5,105,502 Takashima U.S. Pat. No. 5,136,750 Kawakami U.S. Pat. No. 5,163,202 Yang U.S. Pat. No. 5,319,827 Kim U.S. Pat. No. 5,440,216 Gordon U.S. Pat. No. 5,608,944 Imamura U.S. Pat. No. 5,815,884 Imamura U.S. Pat. No. 6,023,814 Kasper U.S. Pat. No. 6,446,302 Gordon U.S. Pat. No. 6,571,422
Among the examples disclosed therein, many such debris sensors are optical in nature, using a light emitter and detector. In typical designs used in, e.g., a vacuum cleaner, the light transmitter and the light receiver of the optical sensor are positioned such that they are exposed into the suction passage or cleaning pathway through which dust flows. During usage of the vacuum cleaner, therefore, dust particles tend to adhere to the exposed surfaces of the light transmitter and the light receiver, through which light is emitted and detected, eventually degrading the performance of the optical sensor.
Accordingly, it would be desirable to provide a debris sensor that is not subject to degradation by accretion of debris.
In addition, debris sensors typical of the prior art are sensitive to a level of built-up debris in a reservoir or cleaning pathway, but not particularly sensitive to instantaneous debris strikes or encounters.
It would therefore be desirable to provide a debris sensor that is capable of instantaneously sensing and responding to debris strikes, and which is immediately responsive to debris on a floor or other surface to be cleaned, with reduced sensitivity to variations in airflow, instantaneous power, or other operational conditions of the cleaning device.
It would be also be useful to provide an autonomous cleaning device having operational modes, patterns of movement or behaviors responsive to detected debris, for example, by steering the device toward “dirtier” areas based on signals generated by a debris sensor.
In addition, it would be desirable to provide a debris sensor that could be used to control, select or vary operational modes of either an autonomous or non-autonomous cleaning apparatus.
The present invention provides a debris sensor, and apparatus utilizing such a debris sensor, wherein the sensor is instantaneously responsive to debris strikes, and can be used to control, select or vary the operational mode of an autonomous or non-autonomous cleaning apparatus containing such a sensor.
One aspect of the invention is an autonomous cleaning apparatus including a drive system operable to enable movement of the cleaning apparatus; a controller in communication with the drive system, the controller including a processor operable to control the drive system to provide at least one pattern of movement of the cleaning apparatus; and a debris sensor for generating a debris signal indicating that the cleaning apparatus has encountered debris; wherein the processor is responsive to the debris signal to select an operative mode from among predetermined operative modes of the cleaning apparatus.
The selection of operative mode could include selecting a pattern of movement of the cleaning apparatus.
The pattern of movement can include spot coverage of an area containing debris, or steering the cleaning apparatus toward an area containing debris. The debris sensor could include spaced-apart first and second debris sensing elements respectively operable to generate first and second debris signals; and the processor can be responsive to the respective first and second debris signals to select a pattern of movement, such as steering toward a side (e.g., left or right side) with more debris.
The debris sensor can include a piezoelectric sensor element located proximate to a cleaning pathway of the cleaning apparatus and responsive to a debris strike to generate a signal indicative of such strike.
The debris sensor of the invention can also be incorporated into a non-autonomous cleaning apparatus. This aspect of the invention can include a piezoelectric sensor located proximate to a cleaning pathway and responsive to a debris strike to generate a debris signal indicative of such strike; and a processor responsive to the debris signal to change an operative mode of the cleaning apparatus. The change in operative mode could include illuminating a user-perceptible indicator light, changing a power setting (e.g., higher power setting when more debris is encountered), or slowing or reducing a movement speed of the apparatus.
A further aspect of the invention is a debris sensor, including a piezoelectric element located proximate to or within a cleaning pathway of the cleaning apparatus and responsive to a debris strike to generate a first signal indicative of such strike; and a processor operable to process the first signal to generate a second signal representative of a characteristic of debris being encountered by the cleaning apparatus. That characteristic could be, for example, a quantity or volumetric parameter of the debris, or a vector from a present location of the cleaning apparatus to an area containing debris.
Another aspect of the invention takes advantage of the motion of an autonomous cleaning device across a floor or other surface, processing the debris signal in conjunction with knowledge of the cleaning device's movement to calculate a debris gradient. The debris gradient is representative of changes in debris strikes count as the autonomous cleaning apparatus moves along a surface. By examining the sign of the gradient (positive or negative, associated with increasing or decreasing debris), an autonomous cleaning device controller can continuously adjust the path or pattern of movement of the device to clean a debris field most effectively.
These and other aspects, features and advantages of the invention will become more apparent from the following description, in conjunction with the accompanying drawings, in which embodiments of the invention are shown and described by way of illustrative example.
A more complete understanding of the present invention and the attendant features and advantages thereof may be had by reference to the following detailed description of the invention when considered in conjunction with the accompanying drawings wherein:
While the debris sensor of the present invention can be incorporated into a wide range of autonomous cleaning devices (and indeed, into non-autonomous cleaning devices as shown by way of example in
I. Exemplary Autonomous Cleaning Device
II. Behavioral Modes of an Autonomous Cleaning Device
III. Debris Sensor Structure
IV. Signal Processing
V. Conclusions
Referring now to the drawings wherein like reference numerals identify corresponding or similar elements throughout the several views,
Examples of hardware and behavioral modes (coverage behaviors or patterns of movement for cleaning operations; escape behaviors for transitory movement patterns; and safety behaviors for emergency conditions) of an autonomous cleaning device 100 marketed by the iRobot Corporation of Burlington, Mass. under the ROOMBA trademark, will next be described to provide a more complete understanding of how the debris sensing system of the present invention may be employed. However, the invention can also be employed in non-autonomous cleaning devices, and an example is described below in connection with
In the following description, the terms “forward” and “fore” are used to refer to the primary direction of motion (forward) of the robotic device (see arrow identified by reference character “FM” in
An example of such a robotic cleaning device 100 has a generally disk-like housing infrastructure that includes a chassis 102 and an outer shell 104 secured to the chassis 102 that define a structural envelope of minimal height (to facilitate movement under furniture). The hardware comprising the robotic device 100 can be generally categorized as the functional elements of a power system, a motive power system (also referred to herein as a “drive system”), a sensor system, a control module, a side brush assembly, or a self-adjusting cleaning head system, respectively, all of which are integrated in combination with the housing infrastructure. In addition to such categorized hardware, the robotic device 100 further includes a forward bumper 106 having a generally arcuate configuration and a nose-wheel assembly 108.
The forward bumper 106 (illustrated as a single component; alternatively, a two-segment component) is integrated in movable combination with the chassis 102 (by means of displaceable support members pairs) to extend outwardly therefrom. Whenever the robotic device 100 impacts an obstacle (e.g., wall, furniture) during movement thereof, the bumper 106 is displaced (compressed) towards the chassis 102 and returns to its extended (operating) position when contact with the obstacle is terminated.
The nose-wheel assembly 108 is mounted in biased combination with the chassis 102 so that the nose-wheel subassembly 108 is in a retracted position (due to the weight of the robotic device 100) during cleaning operations wherein it rotates freely over the surface being cleaned. When the nose-wheel subassembly 108 encounters a drop-off during operation (e.g., descending stairs, split-level floors), the nose-wheel assembly 108 is biased to an extended position.
The hardware of the power system, which provides the energy to power the electrically-operated hardware of the robotic device 100, comprises a rechargeable battery pack 110 (and associated conduction lines, not shown) that is integrated in combination with the chassis 102.
As shown in
The electric motors 114L, 114R are mechanically coupled to the main drive wheel assemblies 112L, 112R, respectively, and independently operated by control signals generated by the control module as a response to the implementation of a behavioral mode, or, as discussed in greater detail below, in response to debris signals generated by left and right debris sensors 125L, 125R shown in
Independent operation of the electric motors 114L, 114R allows the main wheel assemblies 112L, 112R to be: (1) rotated at the same speed in the same direction to propel the robotic device 100 in a straight line, forward or aft; (2) differentially rotated (including the condition wherein one wheel assembly is not rotated) to effect a variety of right and/or left turning patterns (over a spectrum of sharp to shallow turns) for the robotic device 100; and (3) rotated at the same speed in opposite directions to cause the robotic device 100 to turn in place, i.e., “spin on a dime”, to provide an extensive repertoire of movement capability for the robotic device 100.
As shown in
In the illustrated embodiment, the obstacle (“bump”) detection units 120 can be IR break beam sensors mounted in combination with the displaceable support member pairs of the forward bumper 106. These detection units 120 are operative to generate one or more signals indicating relative displacement between one or more support member pairs whenever the robotic device 100 impacts an obstacle such that the forward bumper 106 is compressed. These signals are processed by the control module to determine an approximate point of contact with the obstacle relative to the fore-aft axis FAX of the robotic device 100 (and the behavioral mode(s) to be implemented).
The cliff detection units 122 are mounted in combination with the forward bumper 106. Each cliff detection unit 122 comprises an IR emitter-detector pair configured and operative to establish a focal point such that radiation emitted downwardly by the emitter is reflected from the surface being traversed and detected by the detector. If reflected radiation is not detected by the detector, i.e., a drop-off is encountered, the cliff detection unit 122 transmits a signal to the control module (which causes one or more behavioral modes to be implemented).
wheel drop sensor 124 such as a contact switch is integrated in combination with each of the main drive wheel assemblies 112L, 112R and the nose wheel assembly 108 and is operative to generate a signal whenever any of the wheel assemblies is in an extended position, i.e., not in contact with the surface being traversed, (which causes the control module to implement one ore more behavioral modes).
The obstacle-following unit 126 for the described embodiment is an IR emitter-detector pair mounted on the ‘dominant’ side (right hand side of
A virtual wall detection system for use in conjunction with the described embodiment of the robotic device 100 comprises an omnidirectional detector 128 mounted atop the outer shell 104 and a stand-alone transmitting unit (not shown) that transmits an axially-directed confinement beam. The stand-alone transmitting unit is positioned so that the emitted confinement beam blocks an accessway to a defined working area, thereby restricting the robotic device 100 to operations within the defined working area (e.g., in a doorway to confine the robotic device 100 within a specific room to be cleaned). Upon detection of the confinement beam, the omnidirectional detector 128 transmits a signal to the control module (which causes one or more behavioral modes to be implemented to move the robotic device 100 away from the confinement beam generated by the stand-alone transmitting unit).
A stall sensor unit 130 is integrated in combination with each electric motor 114L, 114R, 116, 118 and operative to transmit a signal to the control module when a change in current is detected in the associated electric motor (which is indicative of a dysfunctional condition in the corresponding driven hardware). The control module is operative in response to such a signal to implement one or more behavioral modes.
An IR encoder unit 132 (see
Control Module:
Referring now to
The microcontroller is operative to execute instruction sets for processing sensor signals, implementing specific behavioral modes based upon such processed signals, and generating control (instruction) signals for the controllable hardware based upon implemented behavioral modes for the robotic device 100. The cleaning coverage and control programs for the robotic device 100 are stored in the ROM of the microprocessing unit 135, which includes the behavioral modes, sensor processing algorithms, control signal generation algorithms and a prioritization algorithm for determining which behavioral mode or modes are to be given control of the robotic device 100. The RAM of the microprocessing unit 135 is used to store the active state of the robotic device 100, including the ID of the behavioral mode(s) under which the robotic device 100 is currently being operated and the hardware commands associated therewith.
Referring again to
The self-adjusting cleaning head system 145 for the described robotic device 100 comprises a dual-stage brush assembly and a vacuum assembly, each of which is independently powered by an electric motor (reference numeral 118 in
Referring now to
More particularly, in the arrangement shown in
As shown in
The operation of the piezoelectric debris sensors, as well as signal processing and selection of behavioral modes based on the debris signals they generate, will be discussed below following a brief discussion of general aspects of behavioral modes for the cleaning device.
The robotic device 100 can employ a variety of behavioral modes to effectively clean a defined working area where behavioral modes are layers of control systems that can be operated in parallel. The microprocessor unit 135 is operative to execute a prioritized arbitration scheme to identify and implement one or more dominant behavioral modes for any given scenario based upon inputs from the sensor system.
The behavioral modes for the described robotic device 100 can be characterized as: (1) coverage behavioral modes; (2) escape behavioral modes; and (3) safety behavioral modes. Coverage behavioral modes are primarily designed to allow the robotic device 100 to perform its cleaning operations in an efficient and effective manner and the escape and safety behavioral modes are priority behavioral modes implemented when a signal from the sensor system indicates that normal operation of the robotic device 100 is impaired, e.g., obstacle encountered, or is likely to be impaired, e.g., drop-off detected.
Representative and illustrative coverage behavioral (cleaning) modes for the robotic device 100 include: (1) a Spot Coverage pattern; (2) an Obstacle-Following (or Edge-Cleaning) Coverage pattern, and (3) a Room Coverage pattern. The Spot Coverage pattern causes the robotic device 100 to clean a limited area within the defined working area, e.g., a high-traffic area. In a preferred embodiment the Spot Coverage pattern is implemented by means of a spiral algorithm (but other types of self-bounded area algorithms, e.g., polygonal, can be used). The spiral algorithm, which causes outward spiraling (preferred) or inward spiraling movement of the robotic device 100, is implemented by control signals from the microprocessing unit 135 to the main wheel assemblies 112L, 112R to change the turn radius/radii thereof as a function of time (thereby increasing/decreasing the spiral movement pattern of the robotic device 100).
The robotic device 100 is operated in the Spot Coverage pattern for a predetermined or random period of time, for a predetermined or random distance (e.g., a maximum spiral distance) and/or until the occurrence of a specified event, e.g., activation of one or more of the obstacle detection units 120 (collectively a transition condition). Once a transition condition occurs, the robotic device 100 can implement or transition to a different behavioral mode, e.g., a Straight Line behavioral mode (in a preferred embodiment of the robotic device 100, the Straight Line behavioral mode is a low priority, default behavior that propels the robot in an approximately straight line at a preset velocity of approximately 0.306 m/s) or a Bounce behavioral mode in combination with a Straight Line behavioral mode.
If the transition condition is the result of the robotic device 100 encountering an obstacle, the robotic device 100 can take other actions in lieu of transitioning to a different behavioral mode. The robotic device 100 can momentarily implement a behavioral mode to avoid or escape the obstacle and resume operation under control of the spiral algorithm (i.e., continue spiraling in the same direction). Alternatively, the robotic device 100 can momentarily implement a behavioral mode to avoid or escape the obstacle and resume operation under control of the spiral algorithm (but in the opposite direction-reflective spiraling).
The Obstacle-Following Coverage pattern causes the robotic device 100 to clean the perimeter of the defined working area, e.g., a room bounded by walls, and/or the perimeter of an obstacle (e.g., furniture) within the defined working area. Preferably the robotic device 100 of
In a first embodiment, the obstacle-following unit 126 is operated to detect the presence or absence of the obstacle. In an alternative embodiment, the obstacle-following unit 126 is operated to detect an obstacle and then maintain a predetermined distance between the obstacle and the robotic device 100. In the first embodiment, the microprocessing unit 135 is operative, in response to signals from the obstacle-following unit, to implement small CW or CCW turns to maintain its position with respect to the obstacle. The robotic device 100 implements a small CW when the robotic device 100 transitions from obstacle detection to non-detection (reflection to non-reflection) or to implement a small CCW turn when the robotic device 100 transitions from non-detection to detection (non-reflection to reflection). Similar turning behaviors are implemented by the robotic device 100 to maintain the predetermined distance from the obstacle.
The robotic device 100 is operated in the Obstacle-Following behavioral mode for a predetermined or random period of time, for a predetermined or random distance (e.g., a maximum or minimum distance) and/or until the occurrence of a specified event, e.g., activation of one or more of the obstacle detection units 120 a predetermined number of times (collectively a transition condition). In certain embodiments, the microprocessor 135 will cause the robotic device to implement an Align behavioral mode upon activation of the obstacle-detection units 120 in the Obstacle-Following behavioral mode wherein the implements a minimum angle CCW turn to align the robotic device 100 with the obstacle.
The Room Coverage pattern can be used by the robotic device 100 to clean any defined working area that is bounded by walls, stairs, obstacles or other barriers (e.g., a virtual wall unit). A preferred embodiment for the Room Coverage pattern comprises the Random-Bounce behavioral mode in combination with the Straight Line behavioral mode. Initially, the robotic device 100 travels under control of the Straight-Line behavioral mode, i.e., straight-line algorithm (main drive wheel assemblies 112L, 112R operating at the same rotational speed in the same direction) until an obstacle is encountered. Upon activation of one or more of the obstacle detection units 120, the microprocessing unit 135 is operative to compute an acceptable range of new directions based upon the obstacle detection unit(s) 126 activated. The microprocessing unit 135 selects a new heading from within the acceptable range and implements a CW or CCW turn to achieve the new heading with minimal movement. In some embodiments, the new turn heading may be followed by forward movement to increase the cleaning efficiency of the robotic device 100. The new heading may be randomly selected across the acceptable range of headings, or based upon some statistical selection scheme, e.g., Gaussian distribution. In other embodiments of the Room Coverage behavioral mode, the microprocessing unit 135 can be programmed to change headings randomly or at predetermined times, without input from the sensor system.
The robotic device 100 is operated in the Room Coverage behavioral mode for a predetermined or random period of time, for a predetermined or random distance (e.g., a maximum or minimum distance) and/or until the occurrence of a specified event, e.g., activation of the obstacle-detection units 120 a predetermined number of times (collectively a transition condition).
By way of example, the robotic device 100 can include four escape behavioral modes: a Turn behavioral mode, an Edge behavioral mode, a Wheel Drop behavioral mode, and a Slow behavioral mode. One skilled in the art will appreciate that other behavioral modes can be utilized by the robotic device 100. One or more of these behavioral modes may be implemented, for example, in response to a current rise in one of the electric motors 116, 118 of the side brush assembly 140 or dual-stage brush assembly above a low or high stall threshold, forward bumper 106 in compressed position for determined time period, detection of a wheel-drop event.
In the Turn behavioral mode, the robotic device 100 turns in place in a random direction, starting at higher velocity (e.g., twice normal turning velocity) and decreasing to a lower velocity (one-half normal turning velocity), i.e., small panic turns and large panic turns, respectively. Low panic turns are preferably in the range of 45.degree. to 90.degree., large panic turns are preferably in the range of 90.degree. to 270.degree. The Turn behavioral mode prevents the robotic device 100 from becoming stuck on room impediments, e.g., high spot in carpet, ramped lamp base, from becoming stuck under room impediments, e.g., under a sofa, or from becoming trapped in a confined area.
In the Edge behavioral mode follows the edge of an obstacle unit it has turned through a predetermined number of degrees, e.g., 60.degree., without activation of any of the obstacle detection units 120, or until the robotic device has turned through a predetermined number of degrees, e.g., 170.degree., since initiation of the Edge behavioral mode. The Edge behavioral mode allows the robotic device 100 to move through the smallest possible openings to escape from confined areas.
In the wheel Drop behavioral mode, the microprocessor 135 reverses the direction of the main wheel drive assemblies 112L, 112R momentarily, then stops them. If the activated wheel drop sensor 124 deactivates within a predetermined time, the microprocessor 135 then reimplements the behavioral mode that was being executed prior to the activation of the wheel drop sensor 124.
In response to certain events, e.g., activation of a wheel drop sensor 124 or a cliff detector 122, the Slow behavioral mode is implemented to slowed down the robotic device 100 for a predetermined distance and then ramped back up to its normal operating speed.
When a safety condition is detected by the sensor subsystem, e.g., a series of brush or wheel stalls that cause the corresponding electric motors to be temporarily cycled off, wheel drop sensor 124 or a cliff detection sensor 122 activated for greater that a predetermined period of time, the robotic device 100 is generally cycled to an off state. In addition, an audible alarm may be generated.
The foregoing description of behavioral modes for the robotic device 100 is merely representative of the types of operating modes that can be implemented by the robotic device 100. One skilled in the art will appreciate that the behavioral modes described above can be implemented in other combinations and/or circumstances, and other behavioral modes and patterns of movement are also possible.
As shown in
When employed in an autonomous, robot cleaning device, the debris signal from the debris sensor can be used to select a behavioral mode (such as entering into a spot cleaning mode), change an operational condition (such as speed, power or other), steer in the direction of debris (particularly when spaced-apart left and right debris sensors are used to create a differential signal), or take other actions.
A debris sensor according to the present invention can also be incorporated into a non-autonomous cleaning device. When employed in a non-autonomous cleaning device such as, for example, an otherwise relatively conventional vacuum cleaner 700 like that shown in
The algorithmic aspects of the operation of the debris sensor subsystem are summarized in
A further practice of the invention takes advantage of the motion of an autonomous cleaning device across a floor or other surface, processing the debris signal in conjunction with knowledge of the cleaning device's movement to calculate a debris gradient (812 in
Piezoelectric Sensor:
As noted above, a piezoelectric transducer element can be used in the debris sensor subsystem of the invention. Piezoelectric sensors provide instantaneous response to debris strikes and are relatively immune to accretion that would
An example of a piezoelectric transducer 125PS is shown in
In the example shown in
The exemplary mounting configuration shown in
In operation, debris thrown up by the cleaning brush assembly (e.g., brush 94 of
As is well known, a piezoelectric sensor converts mechanical energy (e.g., the kinetic energy of a debris strike and vibration of the brass disk) into electrical energy—in this case, generating an electrical pulse each time it is struck by debris—and it is this electrical pulse that can be processed and transmitted to a system controller (e.g., controller 135 of
Filtering:
However, since the sensor element 125PS is in direct or indirect contact with the cleaning device chassis or body through its mounting system (see
Accordingly, as described below, an electronic filter is used to greatly attenuate the lower frequency signal components to improve signal-to-noise performance. Examples of the architecture and circuitry of such filtering and signal processing elements will next be described in connection with
As noted above, one purpose of a debris sensor is to enable an autonomous cleaning apparatus to sense when it is picking up debris or otherwise encountering a debris field. This information can be used as an input to effect a change in the cleaning behavior or cause the apparatus to enter a selected operational or behavioral mode, such as, for example, the spot cleaning mode described above when debris is encountered. In an non-autonomous cleaning apparatus like that shown in
Moreover, as noted above, two debris sensor circuit modules (i.e., left and right channels like 125L and 125R of
Thus,
As shown in
The Acoustic Vibration Filter/RFI Filter block 502 can be designed to provide significant attenuation (in one embodiment, better than −45 dB Volts), and to block most of the lower frequency, slow rate of change mechanical vibration signals, while permitting higher frequency, fast rate of change debris-strike signals to pass. However, even though these higher frequency signals get through the filter, they are attenuated, and thus require amplification by the Signal Amplifier block 504.
In addition to amplifying the desired higher frequency debris strike signals, the very small residual mechanical noise signals that do pass through the filter also get amplified, along with electrical noise generated by the amplifier itself, and any radio frequency interference (RFI) components generated by the motors and radiated through the air, or picked up by the sensor and its conducting wires. The signal amplifier's high frequency response is designed to minimize the amplification of very high frequency RFI. This constant background noise signal, which has much lower frequency components than the desired debris strike signals, is fed into the Reference Level Generator block 506. The purpose of module 506 is to create a reference signal that follows the instantaneous peak value, or envelope, of the noise signal. It can be seen in
Referring again to
The Comparator 510 compares the instantaneous voltage amplitude value of the signal from the Attenuator 508 to the signal from the Reference Level Generator 506. Normally, when the cleaning device operating is running and debris are not striking the sensor element, the instantaneous voltage coming out of the Reference Level Generator 506 will be higher than the voltage coming out of the Attenuator block 508. This causes the Comparator block 510 to output a high logic level signal (logic one), which is then inverted by the Pulse Stretcher block 512 to create a low logic level (logic zero).
However, when debris strikes the sensor, the voltage from the Attenuator 508 exceeds the voltage from the Reference Level Generator 506 (since this circuit cannot track the high frequency, fast rate of change signal component from the Amplifier 504) and the signal produced by a debris strike is higher in voltage amplitude than the constant background mechanical noise signal which is more severely attenuated by the Acoustic Vibration Filter 502. This causes the comparator to momentarily change state to a logic level zero. The Pulse Stretcher block 512 extends this very brief (typically under 10-microsecond) event to a constant 1 millisecond (+0.3 mS, −0 mS) event, so as to provide the system controller (e.g., controller 135 of
When the system controller “sees” this 1-millisecond logic zero pulse, it interprets the event as a debris strike.
Referring now to the RFI Filter portion of the Acoustic Vibration Filter/RFI Filter block 502, this filter serves to attenuate the very high frequency radiated electrical noise (RFD), which is generated by the motors and motor driver circuits.
In summary, the illustrated circuitry connected to the sensor element uses both amplitude and frequency information to discriminate a debris strike (representative of the cleaning device picking up debris) from the normal background mechanical noise also picked up by the sensor element and the radiated radio frequency electrical noise produced by the motors and motor driver circuits. The normal, though undesirable, constant background noise is used to establish a dynamic reference that prevents false debris-strike indications while maintaining a good signal-to-noise ratio.
In practice, the mechanical mounting system for the sensor element (see
Signal Processing Circuitry:
The ground referenced, composite signal from the piezoelectric sensor disk (see piezoelectric disk 402 of
U1A, U1B and their associated components form a two stage, ac-coupled, non-inverting amplifier with a theoretical AC gain of 441. C9 and C10 serve to minimize gain at low frequencies while C7 and C8 work to roll the gain off at RFI frequencies. The net theoretical frequency response from the filter input to the amplifier output is a single pole high pass response with −3 dB at 32.5 kHz, −100 dB/Decade, and a 2-pole low pass response with break frequencies at 100 kHz, −32 dB/Decade, and 5.4 MHz, −100 dB/Decade, together forming a band-pass filter.
The output from the amplifier is split, with one output going into R14, and the other to the non-inverting input of U1C. The signal going into R14 is attenuated by the R14-R15 voltage divider, and then fed into the inverting input of comparator U2A. The other signal branch from the output of U1B is fed into the non-inverting input of amplifier U1C. UIC along with U1D and the components therebetween (as shown in
Normally, when debris is not striking the sensor, the output of the peak detector will be greater in amplitude than the output of the attenuator network. When debris strikes the sensor, a high frequency pulse is created that has a higher amplitude coming out of the front-end high pass filter going into U1A than the lower frequency mechanical noise signal component. This signal will be larger in amplitude, even after coming out of the R14-R15 attenuator network, than the signal coming out of the peak detector, because the peak detector cannot track high-speed pulses due to the component values in the R13, C11, R12 network. The comparator then changes state from high to low for as long as the amplitude of the debris-strike pulse stays above the dynamic, noise generated, reference-level signal coming out of the peak detector. Since this comparator output pulse can be too short for the system controller to see, a pulse stretcher is used.
The pulse stretcher is a one-shot monostable design with a lockout mechanism to prevent re-triggering until the end of the timeout period. The output from U2A is fed into the junction of C13 and Q1. C13 couples the signal into the monostable formed by U2C and its associated components. Q1 functions as the lockout by holding the output of U2A low until the monostable times out. The timeout period is set by the time constant formed by R22, C12 and R18, and the reference level set by the R20-R21 voltage divider. This time can adjusted for 1 mS, +0.3 mS, −0.00 mS as dictated by the requirements of the software used by the controller/processor.
Power for the debris sensor circuit is provided by U3 and associated components. U3 is a low power linear regulator that provides a 5-volt output. The unregulated voltage from the robot's onboard battery provides the power input.
When required, circuit adjustments can be set by R14 and R12. These adjustments will allow the circuit response to be tuned in a short period of time In a production device of this kind, it is expected that power into, and signal out of the debris sensor circuit printed circuit board (PCB) will be transferred to the main board via shielded cable. Alternatively, noise filters may be substituted for the use of shielded cable, reducing the cost of wiring. The cable shield drain wire can be grounded at the sensor circuit PCB side only. The shield is not to carry any ground current. A separate conductor inside the cable will carry power ground. To reduce noise, the production sensor PCB should have all components on the topside with solid ground plane on the bottom side. The sensor PCB should be housed in a mounting assembly that has a grounded metal shield that covers the topside of the board to shield the components from radiated noise pick up from the robot's motors. The piezoelectric sensor disk can be mounted under the sensor circuit PCB on a suitable mechanical mounting system, such as that shown in
The invention provides a debris sensor that is not subject to degradation by accretion of debris, but is capable of instantaneously sensing and responding to debris strikes, and thus immediately responsive to debris on a floor or other surface to be cleaned, with reduced sensitivity to variations in airflow, instantaneous power, or other operational conditions of the cleaning device.
When employed as described herein, the invention enables an autonomous cleaning device to control its operation or select from among operational modes, patterns of movement or behaviors responsive to detected debris, for example, by steering the device toward “dirtier” areas based on signals generated by the debris sensor.
The debris sensor can also be employed in non-autonomous cleaning devices to control, select or vary operational modes of either an autonomous or non-autonomous cleaning apparatus.
In addition, the disclosed signal processing architecture and circuitry is particularly useful in conjunction with a piezoelectric debris sensor to provide high signal to noise ratios.
Those skilled in the art will appreciate that a wide range of modifications and variations of the present invention are possible and within the scope of the invention. The debris sensor can also be employed for purposes, and in devices, other than those described herein. Accordingly, the foregoing is presented solely by way of example, and the scope of the invention is limited solely by the appended claims.
This application is a continuation (and claims the benefit of priority under 35 USC 120) of U.S. application Ser. No. 13/350,447, filed Jan. 13, 2012, which is a continuation of U.S. application Ser. No. 12/750,506, filed Mar. 30, 2010 (issued on Jan. 31, 2012 as U.S. Pat. No. 8,107,318), which is a continuation of U.S. application Ser. No. 12/115,229, filed May 5, 2008 (issued on Mar. 30, 2010 as U.S. Pat. No. 7,688,676), which is a continuation of, and claims priority under 35 U.S.C. .sctn.120 from, U.S. patent application Ser. No. 11/085,832, filed on Mar. 21, 2005 (issued on May 6, 2008 as U.S. Pat. No. 7,369,460), which is a continuation-in-part of, and claims priority to, U.S. patent application Ser. No. 09/921,181, filed on Aug. 2, 2001 (issued on Mar. 22, 2005 as U.S. Pat. No. 6,870,792), which claims priority under 35 U.S.C. .sctn.119(e) to U.S. Provisional Application No. 60/222,542, filed on Aug. 3, 2000. The disclosures of these prior applications are considered part of the disclosure of this application and are hereby incorporated by reference in their entireties. U.S. patent application Ser. No. 09/826,209, filed Apr. 4, 2001, and U.S. Provisional Application No. 60/194,922, filed Apr. 4, 2000 are also incorporated by reference into this application as if set forth herein in full, although no priority claim is made to these two applications
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 Brey | 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 brey | 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 |
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-Malek | 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 |
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 |
5722109 | Delmas et al. | Mar 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 |
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 |
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 | Anhlen 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 |
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 |
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 et al. | 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 |
6801015 | Bertram et al. | Oct 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 |
7166983 | Jung | Jan 2007 | 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 |
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 |
7233122 | Kim et al. | Jun 2007 | B2 |
7246405 | Yan | Jul 2007 | B2 |
7248951 | Hulden | Jul 2007 | B2 |
7251853 | Park et al. | Aug 2007 | B2 |
7275280 | Haegermarck et al. | Oct 2007 | B2 |
7283892 | Boillot et al. | Oct 2007 | B1 |
7288912 | Landry et al. | Oct 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 |
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 |
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 |
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 |
8253368 | Landry et al. | Aug 2012 | B2 |
8386081 | Landry et al. | Feb 2013 | B2 |
8428778 | Landry et al. | Apr 2013 | B2 |
8456125 | Landry et al. | Jun 2013 | B2 |
8598829 | Landry et al. | Dec 2013 | B2 |
8781626 | Landry et al. | Jul 2014 | 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 |
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 |
20030026472 | Abe | 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 |
20030146739 | Bertram et al. | Aug 2003 | A1 |
20030159232 | Hekman et al. | Aug 2003 | A1 |
20030168081 | Lee et al. | Sep 2003 | A1 |
20030175138 | Beenker | 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 |
20040016077 | Song et al. | 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 |
20040045117 | Alowonle 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 |
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 |
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 |
20050022330 | Park et al. | Feb 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 |
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 |
20050137749 | Jeon et al. | Jun 2005 | A1 |
20050138764 | Grey | Jun 2005 | A1 |
20050144751 | Kegg et al. | Jul 2005 | A1 |
20050150074 | Diehl et al. | Jul 2005 | A1 |
20050150519 | Keppler et al. | 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 |
20050171644 | 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 |
20050204717 | Colens | Sep 2005 | A1 |
20050209736 | Kawagoe | Sep 2005 | A1 |
20050211880 | Schell et al. | Sep 2005 | A1 |
20050212478 | Takenaka | Sep 2005 | A1 |
20050212680 | Uehigashi | Sep 2005 | A1 |
20050212929 | Schell et al. | Sep 2005 | A1 |
20050213082 | DiBernardo et al. | Sep 2005 | A1 |
20050213109 | Schell 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 |
20050234595 | Tani | 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 |
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 |
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 |
20060056677 | Tani | 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 |
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 |
20060238157 | Kim et al. | Oct 2006 | A1 |
20060238159 | Jung | Oct 2006 | A1 |
20060241814 | Jung | Oct 2006 | A1 |
20060253224 | Tani et al. | Nov 2006 | A1 |
20060259194 | Chiu | Nov 2006 | A1 |
20060259212 | Jeon | 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 |
20070096676 | Im et al. | May 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 |
61-130147 | Aug 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 |
SHO 62-292126 | Dec 1987 | JP |
63079623 | Apr 1988 | JP |
63158032 | Jul 1988 | JP |
63203483 | Aug 1988 | JP |
63241610 | Oct 1988 | JP |
1118752 | Aug 1989 | JP |
2-6312 | Jan 1990 | JP |
3-39126 | Feb 1991 | JP |
3051023 | Mar 1991 | JP |
3-173519 | Jul 1991 | JP |
3-242710 | Oct 1991 | JP |
4019586 | Jan 1992 | JP |
4074285 | Mar 1992 | JP |
4084921 | Mar 1992 | JP |
HEI 04-354920 | Dec 1992 | JP |
5023269 | 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 |
05257527 | Oct 1993 | JP |
5257533 | Oct 1993 | JP |
05285861 | Nov 1993 | JP |
5302836 | Nov 1993 | JP |
5312514 | Nov 1993 | JP |
05046239 | 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 |
06327598 | Nov 1994 | JP |
7047046 | Feb 1995 | JP |
07129239 | May 1995 | JP |
7059702 | Jun 1995 | JP |
07222705 | Aug 1995 | JP |
7270518 | Oct 1995 | JP |
7-334242 | Dec 1995 | JP |
7313417 | Dec 1995 | JP |
8000393 | Jan 1996 | JP |
8016776 | Jan 1996 | JP |
8084696 | Apr 1996 | JP |
8089449 | Apr 1996 | JP |
08089451 | Apr 1996 | JP |
8123548 | 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 |
09160644 | Jun 1997 | JP |
09179625 | Jul 1997 | JP |
09185410 | Jul 1997 | JP |
9192069 | Jul 1997 | JP |
2555263 | Aug 1997 | JP |
9204223 | Aug 1997 | JP |
09206258 | Aug 1997 | JP |
09233712 | 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 |
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 |
11178765 | Jul 1999 | JP |
114008764 | Jul 1999 | JP |
11212642 | Aug 1999 | JP |
11213157 | Aug 1999 | JP |
11282532 | Oct 1999 | JP |
11282533 | Oct 1999 | JP |
11295412 | Oct 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 |
2000275321 | Oct 2000 | JP |
2000279353 | Oct 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 |
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 |
2002073170 | Mar 2002 | JP |
2002078650 | Mar 2002 | JP |
2002-165731 | Jun 2002 | JP |
2002204768 | Jul 2002 | JP |
2002204769 | Jul 2002 | JP |
2002247510 | Aug 2002 | JP |
2002532180 | Oct 2002 | JP |
2002323925 | Nov 2002 | JP |
2002333920 | Nov 2002 | JP |
2002355204 | Dec 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 |
2003010076 | Jan 2003 | JP |
2003010088 | Jan 2003 | JP |
2003028528 | Jan 2003 | JP |
2003-50632 | Feb 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 |
2003-114719 | Apr 2003 | JP |
2003167628 | Jun 2003 | JP |
2003180586 | Jul 2003 | JP |
2003180587 | Jul 2003 | JP |
2003186539 | Jul 2003 | JP |
2003190064 | 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 |
2004148021 | May 2004 | JP |
2004160102 | Jun 2004 | JP |
2004166968 | Jun 2004 | JP |
2004198330 | Jul 2004 | JP |
2004219185 | Aug 2004 | JP |
2004351234 | Dec 2004 | JP |
2005118354 | May 2005 | JP |
2005211360 | Aug 2005 | JP |
2005224265 | Aug 2005 | JP |
2005230032 | Sep 2005 | JP |
2005245916 | Sep 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 |
10-0133034 | Apr 1998 | KR |
10-2001-0032583 | Apr 2001 | 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 |
0180703 | Nov 2001 | WO |
0191623 | 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 |
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 |
0275350 | Jan 2012 | 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. |
Betke et al. “Mobile robot localization using landmarks,” Proceedings of the IEEE/RSJ/GI International Conference on Intelligent Robots and Systems '94 Advanced Robotic Systems and the Real World (IROS '94), Accessed via IEEE Xplore, 1994, 8 pages. |
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 National Stage Entry U.S. Appl. No. 11/574,290, U.S.publication 2008/0184518, filing date Aug. 27, 2004. |
U.S. Appl. No. 60/605,181 as provided to WIPO in PCT/US2005/030422, corresponding to National Stage Entry 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. |
Chiri, “Joystick Control for Tiny OS Robot,” http://www.eecs.berkeley.edu/Programs/ugrad/superb/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.pdf, 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, 2 pages. |
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. |
Floorbot GE Plastics—IMAGE, available at http://www.fuseid.com/, 1989-1990, Accessed Sep. 2012, 1 page. |
Floorbotics, VR8 Floor Cleaning Robot, Product Description for Manufacturing, URL: <http://www.consensus.sem.au/SoftwareAwards/CSAarchive/CSA2004/CSAart04/FloorBot/F>. Mar. 2004, 11 pages. |
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¶m1=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. |
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 Würzburg 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. |
Michelson, “Autonomous navigation,” McGraw-Hill—Access Science, Encyclopedia of Science and Technology Online, 2007, 4 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. |
Piijanian, “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/2003/04/22/1g—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/RSF 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. |
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. |
Number | Date | Country | |
---|---|---|---|
20140129028 A1 | May 2014 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 13523109 | Jun 2012 | US |
Child | 13893038 | US | |
Parent | 12255393 | Oct 2008 | US |
Child | 13523109 | US | |
Parent | 11860272 | Sep 2007 | US |
Child | 12255393 | US | |
Parent | 11533294 | Sep 2006 | US |
Child | 11860272 | US | |
Parent | 11109832 | Apr 2005 | US |
Child | 11533294 | US | |
Parent | 10766303 | Jan 2004 | US |
Child | 11109832 | US |