The invention relates generally to the field of haptics. Specifically, the invention relates to a system and method for providing substantially stable control in a system using a virtual tool.
The field of haptics relates to, among other things, human interactive devices that provide tactile and/or force feedback to a user to achieve a desired goal. Tactile feedback may include providing a user with tactile sensations such as, for example, vibration. Force feedback may include providing various forms of force to a user, such as a positive force or a resistance to movement.
A common use of haptics is to provide a user of a device with guidance or limits for manipulation of that device. For example, the device may be a robotic system having an object, such as a physical tool, for performing a specified function. The user's manipulation of the physical tool can be guided or limited through the use of haptics to provide feedback to the user during manipulation of the physical tool.
Often such guidance is provided by using a computer to create a virtual environment that effectively guides or limits manipulation of the physical tool. The computer may create an association between the physical tool and a virtual tool (a virtual representation of the physical tool) in the virtual environment. The computer also may construct a haptic object within the virtual environment. The haptic object may provide boundaries for guiding or limiting movement of the virtual tool. For example, when the virtual tool interacts with a boundary of the haptic object, tactile or force feedback may be provided to the user. The guidance or limitation resulting from the interaction between the virtual tool and the haptic object effectively provides guidance or limitation for the user's manipulation of the physical tool.
A specific example of such a robotic system using haptics can be found in computer-assisted surgical systems. In such systems, a physical tool, such as a bone-cutting tool, may be associated with a virtual tool in a virtual environment. A pre-operative surgical plan may be used to identify a region for bone resection, which will then be used to create a haptic object in the virtual environment. For example. the haptic object may represent the boundaries of the bone-resection region. The surgeon will receive tactile or force feedback when the virtual tool interacts with the boundaries of the haptic object. This feedback can assist the surgeon in maintaining the bone-cutting tool with the bone-resection region, according to his/her pre-operative plan.
Feedback is generated based on the interaction of the virtual tool with the haptic object. A fundamental relationship often established for haptics is a linear elastic spring, where the contact force applied by the haptic object may be defined by the spring constant, K, and the displacement into the haptic object, Δx, such that
{right arrow over (f)}=KΔ{right arrow over (x)}
To determine the appropriate feedback, the computer is usually able to determine the interaction between the virtual tool and the haptic object. This interaction is often determined by identifying a single haptic interaction point (HIP) that will represent the location of the virtual tool. For example, a HIP may be defined as the center of a spherical culling tool, as long as the haptic object is offset from a resection depth by the radius of the tool. In such cases, the computer uses the relationship between the HIP and the haptic object to determine the interaction of the virtual tool with the haptic object.
In certain circumstances, a single HIP may not be fully effective for determining the interaction between the virtual tool and the haptic object. For example, an irregular-shaped virtual tool may not be adequately represented by a single HIP. Due to the irregular shape of the virtual tool, a single HIP may not adequately account for variations on the cutting surface of the tool and/or rotation of the tool. In this case, multiple HIPs may be defined along the con tour of the virtual tool. For example, as shown in
Even multiple HIPs may not be fully effective for determining the interaction between the virtual tool and the haptic object. For example, traditional multi-point haptic forces may not be stable because of the competing forces that exist along a bi-lateral constraint such as a plane or line. In the example illustrated in
The same unstable behavior may be present in other systems that provide non-haptic force feedback or control of a surgical tool using one or more interaction points.
In view of the foregoing, a need exists for a system and method that can provide substantially stable control for a control object that will correct undesirable oscillation caused by behavior such as measurement noise, discretization errors, and competing forces between interaction/contact points.
According to an aspect of the present invention, a system for providing substantially stable haptics is provided. The system includes at least one computer configured to identify a first subset and a second subset of haptic interact ion geometric primitives for a virtual tool, determine based on the first subset, haptic forces in a first subspace, and determine based on the second subset, haptic forces in a second subspace different from the first subspace.
According to another aspect of the present invention, a method for providing substantially stable haptics is provided. The method includes the steps of identifying a first subset and a second subset of haptic interaction geometric primitives for a haptic object, determining based on the first subset, by at least one computer, haptic forces for a first subspace, and determining based on the second subset, by at least one computer, haptic forces in a second subspace different from the first subspace.
According to yet another aspect of the present invention, a system for providing substantially stable control of a surgical instrument is provided. The system includes a surgical manipulator for manipulating the surgical instrument and at least one computer. The computer is configured to identify a first subset and a second subset of interaction geometric primitives associated with a virtual tool representing the surgical instrument; determine, based on the first subset, control forces in a first subspace; and determine based on the second subset, control forces in a second subspace having at least one additional dimension to first subspace. Control forces in the additional dimension are only determined based on the second subset of interaction geometric primitives, which is different than the first subset of interaction geometric primitives. The computer is further configured to determine a torque to constrain an orientation of the surgical instrument, wherein determining the torque comprises defining a virtual tool normal and a control plane normal and using the virtual tool normal and control plane normal to calculate the torque.
According to yet another aspect of the present invention, a method for providing substantially stable control of a surgical instrument is provided. The method includes identifying a first subset and a second subset of interaction geometric primitives associated with a virtual tool representing a surgical instrument; determining based on the first subset, by at least one computer, control forces in a first subspace; and determining based on the second subset, by at least one computer, control forces in a second subspace having at least one additional dimension to the first subspace. Control forces in the additional dimension are only determined based on the second subset of interaction geometric primitives, which is different than the first subset of interaction geometric primitives. The method further includes determining a torque to constrain an orientation of the surgical instrument, wherein determining the torque comprises defining a virtual tool normal and a control plane normal and using the virtual tool normal and control plane normal to calculate the torque.
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain principles of the invention.
Presently preferred embodiments of the invention are illustrated in the drawings. An effort has been made to use the same or like reference numbers throughout the drawings to refer to the same or like parts.
Overview
The present invention relates to a system and method for providing substantially stable control of a tool. According to the present invention, a computer can be used to identify multiple interaction geometric primitives for a virtual tool. To overcome one or more problems in conventional systems, the present invention identifies subsets of the interaction geometric primitives and determines control forces in subspaces corresponding to those subsets. Those control forces may then be used to determine a total interaction force.
Though the present disclosure that follows discusses primarily providing substantially stable haptics, it is to be understood that the following disclosure and calculations can be provided, implemented, and/or utilized by other systems that provide non-haptic force feedback or control of a surgical tool. For example, the following disclosure and force calculations which provide for substantially stable haptics for a haptic system can be similarly applied to a system such as that described in U.S. Pat. No. 9,119,655 entitled “SURGICAL MANIPULATOR CAPABLE OF CONTROLLING A SURGICAL INSTRUMENT IN MULTIPLE MODES” which is incorporated herein by reference in its entirety. The system disclosed in U.S. Pat. No. 9,119,655 provides for control of a surgical tool in a manual and a semi-autonomous mode, which maintains a surgical tool in a proper cutting pattern, path, or area, controlled by forces acting on the tool. The control forces provided by the system can be stabilized according to the teachings and calculations disclosed herein. In this way, references to haptic forces can also be considered to be non-haptic control forces; references to haptic geometric primitives or points can also be considered to be geometric primitives or points; and haptic control can be understood to mean control provided by forces or force feedback, but not specifically haptic control.
In general, a subspace is a set of vectors that is closed under addition and scalar multiplication. For example, geometrically, a subspace of Rn can be a flat through the origin, i.e., a copy of a lower dimensional (or equi-dimensional) Euclidean space sitting in n dimensions. For example, in three-dimensional space R3 there are types of subspaces that can be viewed as different from one another (even though they may overlap), including, without limiting:
(a) lines within R3, which are one-dimensional subspaces of R3;
(b) planes within R3, which are two-dimensional subspaces of R3; and
(c) the entire set R3, which is a three-dimensional subspace of itself.
In n-dimensional space Rn, there are subspaces of every dimension from 0 to n.
Embodiment of a System for Providing Substantially Stable Haptics
In general, the computer 102 may be configured to determine haptic force(s) based on a virtual tool and, preferably, based on the interaction between a virtual tool and a haptic object. The computer 104 may be configured to, among other things, associate a physical tool with the virtual tool, identify HIGPs for the virtual tool. create the haptic object or objects, determine the interaction between the virtual tool and the haptic object, determine feedback to be provided to the user, and/or control the feedback provided to the user.
The computer 102 may be any known computing system but is preferably a programmable, processor-based system. For example. the computer 102 may include a microprocessor, a hard drive, random access memory (RAM), read only memory (ROM), input/output (I/O) circuitry, and any other well-known computer component. The computer 102 is preferably adapted for use with various types of storage devices (persistent and removable), such as, for example, a portable drive, magnetic storage (e.g., a floppy disk), solid stale storage (e.g., a flash memory card), optical storage (e.g., a compact disc or CD), and/or network/Internet storage. The computer 102 may comprise one or more computers, including, for example, a personal computer (e.g., an IBM-PC compatible computer) or a workstation (e.g., a SUN or Silicon Graphics workstation) operating under a Windows, MS-DOS, UNIX, or other suitable operating system and preferably includes a graphical user interface (GUI).
The input unit 104 enables information to be communicated to the system 100, including the computer 102. The input unit 104 may be one or more devices used for communication of information, such as features of the virtual tool, features of the haptic object, the location of the physical tool, and/or the location of the workpiece upon which the physical tool is or will be working.
The input unit 104 is connected to the computer 102 and may include any device(s) enabling input to a computer. As specific examples, the input unit 104 can include a known input device, such as a keyboard, a mouse. a trackball, a touch screen, a touch pad. voice recognition hardware, dials, switches, buttons, a trackable probe, a foot pedal, a remote control device, a scanner, a camera, a microphone, and/or a joystick. The input unit 104 may also include surgical navigation equipment that provides data to the computer 102. For example, the input unit 104 can include a tracking system for tracking the position of surgical tools and patient anatomy. The tracking system may be, for example, an optical, electromagnetic, radio, acoustic, mechanical, or fiber optic tracking system.
The display 108 is a visual interface between the system 100 and the user. The display 108 enables information to be communicated from the system 100, including the computer 102, to the user. The display 108 may be one or more devices used for communication of information, such as features of the virtual tool, features of the haptic object, and/or the location of the virtual tool relative to the haptic object In some embodiments, the display 108 displays graphical representations of virtual tools and haptic objects in a virtual environment.
The display 108 is connected to the computer 102 and may be any device suitable for displaying text, images, graphics, and/or other visual output. For example, the display 108 may include a standard display screen (e.g., LCD, CRT, plasma, etc.), a touch screen, a wearable display (e.g., eyewear such as glasse5 or goggles), a projection display, a head-mounted display, a holographic display, and for any other visual output device. The display 108 may be disposed on or near the computer 102 (e.g., mounted within a cabinet also comprising the computer 102) or may be remote from the computer 102 (e.g., mounted on a wall of an operating room or other location suitable for viewing by the user). The display 108 is preferably adjustable so that the user can position/reposition the display 108 as needed during a surgical procedure. For example, the display 108 may be disposed on an adjustable arm (not shown) or on any other location well-suited for ease of viewing by the user. The display 108 may be used to display any in formation useful for a medical procedure, such as, for example, images of anatomy generated from an image data set obtained using conventional imaging techniques, graphical models (e.g., CAD models of implants, instruments, anatomy, etc.), graphical representations of a tracked object (e.g., anatomy. tools, implants, etc.), digital or video images, registration information, calibration information, patient data, user data, measurement data, software menus, selection buttons, status information, and the like. The terms model and representation can be used interchangeably to refer to any computerized display of a component (e.g., implant, bone, tissue, etc.) of interest.
This system 100 can be used to determine haptic forces based on a virtual tool. Preferably the system 100 determines the haptic forces based on the interaction between the virtual tool and a haptic object. A specific configuration of a prior system having components that determine haptic forces based on a virtual tool is shown in U.S. Patent Appl. Pub. No. 2009/0012532 A1 to Quaid et al., published Jan. 8, 2009, and assigned to MAKO Surgical Corp., which is hereby incorporated herein by reference in its entirety. That prior system and its components could be modified to be used in accordance with the present invention. The present invention, however, differs from the prior system at least in that the present invention determines haptic forces in a new and advantageous way not contemplated in the prior system. In particular, the present determines the interact ion between the virtual tool and the haptic object using multiple HIGPs for the virtual tool, identifying subsets of the HIGPs, and determining haptic forces in subspaces corresponding to those subsets. Those haptic forces may then be used to determine a total haptic interaction force. A more detailed explanation of the process of determining those haptic forces is provided in the examples below.
Virtual Tool with Haptic Interaction Geometric Primitives (HIGPs)
As shown in
The computer 102 can determine the interaction of the HIGPs 20 of the virtual tool 10 with one or more boundaries of haptic object(s) in a virtual environment. Boundaries 40 of haptic objects are shown, for example, in
As stated above, when haptic forces are determined from multiple HIGPs 20, competing forces may cause instability. For a given virtual tool 10, the system 100 of the present invention is configured to provide substantially stable haptics by identifying subsets of the HIGPs and determining haptic forces in subspaces corresponding to those subsets, as described in further detail below.
Embodiment Using Points as HIGPs
With reference to
In step 210 of
In step 220, haptic forces are determined based on the interaction of the first subset A of HIPs 20 with a boundary 40 of a haptic object. The haptic forces are determined in a first subspace that omits at least one dimension. Preferably, as shown in
The haptic forces determined from the HIPs 20 in subset A are projected onto subspace C. Accordingly, haptic forces determined from the HIPs 20 of subset A in the x and y dimension are determined and haptic forces from the HIPs 20 of subset A in the z dimension are omitted. Mapping haptic forces from each HIP of the first subset in the first subspace assists in stabilizing a virtual tool with multiple HIGPs by eliminating the unstable nature of competing haptic interaction forces.
In step 230, haptic forces from the second subset B of HIPs 20 are determined in a second subspace different from the first subspace. Preferably, as shown in
In the preferred embodiment discussed above, the first subspace is a two-dimensional subspace of three-dimensional space R3, and the second subspace is a three-dimensional subspace of three-dimensional space R3. However, other subspaces and other n-dimensional spaces may be utilized. Preferably, the first subspace has at least one less dimension than the second subspace. Even more preferably, the first subspace has only one less dimension than the second subspace.
In step 240, a total haptic interaction force is determined, preferably by summing the haptic forces in the first subspace C and the second subspace D. The total haptic interaction force, f, can be a summation of the individual haptic forces, fi, from each HIP 20 in subset A and subset B, and can be described as:
where Pi represents the projection matrix for each particular HIP 20.
In step 250, a torque can be generated to provide a further constraint on the orientation of the virtual tool I0 (and thus the physical tool). Preferably, the torque, τ, may be generated from a tool normal ({right arrow over (n)}tool) and haptic plane normal ({right arrow over (n)}haptic) (See
{right arrow over (τ)}=Kθ({right arrow over (n)}tool×{right arrow over (n)}haptic)/∥{right arrow over (n)}tool×{right arrow over (n)}haptic∥,
where K represents the rotational haptic stiffness, and θ is the angular displacement.
In addition to generating a torque there are several strategies for reducing the contribution of forces that enable the resultant force to be stable as described in A. Petersik, B. Pflesser, U. Tiede, K. Hohne and R. Leuwer, “Realistic Haptic Interaction in Volume Sculpting for Surgery Simulation”, Lecture Notes in Computer Science, vol. 2673, 2003.
Embodiment Using Complex Body as HIGPs
Alternatively, the HIGPs 20 may include other complex bodies, such as a curved arc segment, or may include a combination of complex bodies and point(s). As shown in
In step 220, the resulting forces for the arc segment (subset A) are then mapped to a first subspace of the special Euclidean group SE(3). Here, haptic forces are defined from the resulting interference between the curved arc segment (subset A) and a boundary 40 of a haptic object. As shown in
In the elastic foundation model, contact forces are approximated through the assumption that the deformation al one location does not influence deformations at all locations throughout the object. See Y. Bei. and B. J. Fregly, “Multibody dynamic simulation of knee contact mechanics,” Medical Engineering & Physics, vol. 26, pp. 777-789, 2004. This contact model comprises independent springs evenly-distributed across the contact surface, representing a layer of elastic material. Accordingly, the pressure from any spring element on the surface may be written as
where E is the spring constant of the elastic layer, ν is Poisson's ratio, h is the thickness of the layer, and d is the spring deformation. In this model, the spring deformation is defined as the interpenetration of the undeformed contact surfaces in the direction of the midsurface normal. From this result, haptic forces arising from the penetration of an arc segment 20 into a boundary 40 of a haptic object may be determined through integration, such that
{right arrow over (f)}i=∫ab{right arrow over (p)}dx,
In step 230, haptic forces for point 1 (subset B) are determined in a second subspace different from the first subspace. Preferably, the second subspace is normal to the first subspace. As a result, haptic forces normal to the first subspace are only defined based on point 1.
In step 240, the total haptic force on the virtual tool 10 can be defined from a summation of the individual components projected into the first subspace and second subspace, such that
where fi represents the contribution of forces from a particular arc segment, point, or surface. For example, the force f1 may be defined from the penetration of the arc segment in the first subspace, and the force f2 may be defined from the penetration of point 1 in the second subspace, normal to the first subspace.
In step 250, a torque is determined to further constrain the orientation of the virtual tool 10. Preferably, the torque may be generated from a tool normal ({right arrow over (n)}tool) and haptic plane normal ({right arrow over (n)}haptic) (See
{right arrow over (τ)}=Kθ({right arrow over (n)}tool×{right arrow over (n)}haptic)/∥{right arrow over (n)}tool×{right arrow over (n)}haptic∥,
where K represents the rotational haptic stiffness, and θ is the angular displacement.
The present invention is not limited to the embodiments disclosed above. Those embodiments, however, disclose examples of configurations that can advantageously provide substantially stable haptics by using a computer to identify multiple HIGPs for a virtual tool, identify subsets of the HIGPs, and determine haptic forces in subspaces corresponding to those subsets. Those haptic forces may then be used to determine a total haptic interaction force. Embodiments can be constructed to overcome the instability problems of prior haptic systems. The present invention can be implemented in a wide variety of configurations beyond those disclosed herein.
For example, the above described techniques can be implemented in a distributed computing system that includes a back-end component. The back-end component can, for example, be a data server, a middleware component, and/or an application server. The above described techniques can be implemented in a distributing computing system that includes a front-end component. The front-end component can, for example, be a client computer having a graphical user interface. a Web browser through which a user can internet with an example implementation, and/or other graphical user interfaces for a transmitting device. The components of the system can be interconnected by any form or medium of digital data communication {e.g., a communication network).
The system can include clients and servers. A client and n server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
Communication networks can include, for example, the internet, a carrier internet protocol (IP) network (e.g., local area network (LAN), wide area network (WAN), campus area network (CAN), metropolitan area network (MAN), home area network (RAN)), a private IP network, an IP private branch exchange (IPBX), a wireless network (e.g., radio access network (RAN), 802.11 network, 802.16 network, general packet radio service (GPRS) network, HiperLAN), and/or other packet-based networks. Circuit-based networks can include, for example the public switched telephone network (PSTN), a private branch exchange (PBX), a wireless network (e.g., RAN, bluetooth, code-division multiple access (CDMA) network, time division multiple access (TOMA) network, global system for mobile communications (GSM) network), and/or other circuit-based networks.
The transmitting device can include, for example, a computer, a computer with a browser device, a telephone, an IP phone, a mobile device (e.g., cellular phone, personal digital assistant (PDA) device, laptop computer, electronic mail device), and/or other communication devices. The browser device includes, for example, a computer (e.g., desktop computer, laptop computer) with a world wide web browser (e.g., Microsoft™ Internet Explorer™ available from Microsoft Corporation, Mozilla™ Firefox available from Mozilla Corporation). The mobile computing device includes. for example, a personal digital assistant (PDA).
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. It is intended that the specification and examples be considered as exemplary only.
This application is a continuation in part of U.S. application Ser. No. 13/339,369 filed Dec. 28, 2011, which claims the benefit of and priority to U.S. Provisional Application No. 61/428,210, filed Dec. 29, 2010, both of which are incorporated herein by reference in their entireties. This application is also a continuation in part of U.S. application Ser. No. 15/401,567 filed Jan. 9, 2017, which is a continuation of U.S. application Ser. No. 14/841,062 filed Aug. 31, 2015 and granted as U.S. Pat. No. 9,566,125, which is a divisional of U.S. application Ser. No. 13/958,070 filed Aug. 2, 2013 and granted as U.S. Pat. No. 9,119,655, which claims the benefit of and priority to U.S. Provisional Application No. 61/679,258 filed Aug. 3, 2012 and U.S. Provisional Application No. 61/792,251 filed Mar. 15, 2013, all of which are incorporated herein by reference in their entireties.
Number | Name | Date | Kind |
---|---|---|---|
4425818 | Asada et al. | Jan 1984 | A |
4442493 | Wakai et al. | Apr 1984 | A |
4696167 | Matsui et al. | Sep 1987 | A |
4863133 | Bonnell | Sep 1989 | A |
4979949 | Matsen et al. | Dec 1990 | A |
5078140 | Kwoh | Jan 1992 | A |
5086401 | Glassman et al. | Feb 1992 | A |
5091861 | Geller et al. | Feb 1992 | A |
5154717 | Matsen et al. | Oct 1992 | A |
5231693 | Backes et al. | Jul 1993 | A |
5279309 | Taylor et al. | Jan 1994 | A |
5299288 | Glassman et al. | Mar 1994 | A |
5339799 | Kami et al. | Aug 1994 | A |
5343391 | Mushabac | Aug 1994 | A |
5397323 | Taylor et al. | Mar 1995 | A |
5399951 | Lavallee et al. | Mar 1995 | A |
5408409 | Glassman et al. | Apr 1995 | A |
5434489 | Cheng et al. | Jul 1995 | A |
5445144 | Wodicka et al. | Aug 1995 | A |
5562448 | Mushabac | Oct 1996 | A |
5569578 | Mushabac | Oct 1996 | A |
5576727 | Rosenberg et al. | Nov 1996 | A |
5629594 | Jacobus et al. | May 1997 | A |
5630431 | Taylor | May 1997 | A |
5682886 | Delp et al. | Nov 1997 | A |
5689159 | Culp et al. | Nov 1997 | A |
5691898 | Rosenberg et al. | Nov 1997 | A |
5695500 | Taylor et al. | Dec 1997 | A |
5699038 | Ulrich et al. | Dec 1997 | A |
5710870 | Ohm et al. | Jan 1998 | A |
5711299 | Manwaring et al. | Jan 1998 | A |
5721566 | Rosenberg et al. | Feb 1998 | A |
5730129 | Darrow et al. | Mar 1998 | A |
5731804 | Rosenberg | Mar 1998 | A |
5734373 | Rosenberg et al. | Mar 1998 | A |
5737500 | Seraji et al. | Apr 1998 | A |
5739811 | Rosenberg et al. | Apr 1998 | A |
5748767 | Raab | May 1998 | A |
5762458 | Wang et al. | Jun 1998 | A |
5767648 | Morel et al. | Jun 1998 | A |
5767839 | Rosenberg | Jun 1998 | A |
5769092 | Williamson, Jr. | Jun 1998 | A |
5769640 | Jacobus et al. | Jun 1998 | A |
5776136 | Sahay et al. | Jul 1998 | A |
5784542 | Ohm et al. | Jul 1998 | A |
5789890 | Genov et al. | Aug 1998 | A |
5792135 | Madhani et al. | Aug 1998 | A |
5792147 | Evans et al. | Aug 1998 | A |
5806518 | Mittelstadt | Sep 1998 | A |
5807377 | Madhani et al. | Sep 1998 | A |
5815640 | Wang et al. | Sep 1998 | A |
5820623 | Ng | Oct 1998 | A |
5824085 | Sahay et al. | Oct 1998 | A |
5831408 | Jacobus et al. | Nov 1998 | A |
5841950 | Wang et al. | Nov 1998 | A |
5847528 | Hui et al. | Dec 1998 | A |
5855553 | Tajima et al. | Jan 1999 | A |
5855583 | Wang et al. | Jan 1999 | A |
5871018 | Delp et al. | Feb 1999 | A |
5880976 | Digioia, III et al. | Mar 1999 | A |
5882206 | Gillio | Mar 1999 | A |
5891157 | Day et al. | Apr 1999 | A |
5907487 | Rosenberg et al. | May 1999 | A |
5907664 | Wang et al. | May 1999 | A |
5929607 | Rosenberg et al. | Jul 1999 | A |
5950629 | Taylor et al. | Sep 1999 | A |
5952796 | Colgate et al. | Sep 1999 | A |
5959613 | Rosenberg et al. | Sep 1999 | A |
5966305 | Watari et al. | Oct 1999 | A |
5971976 | Wang et al. | Oct 1999 | A |
5976156 | Taylor et al. | Nov 1999 | A |
5993338 | Kato et al. | Nov 1999 | A |
5995738 | Digioia et al. | Nov 1999 | A |
5999168 | Rosenberg et al. | Dec 1999 | A |
6002859 | Digioia, III et al. | Dec 1999 | A |
6020876 | Rosenberg et al. | Feb 2000 | A |
6024576 | Bevirt et al. | Feb 2000 | A |
6033415 | Mittelstadt et al. | Mar 2000 | A |
6037927 | Rosenberg | Mar 2000 | A |
6046727 | Rosenberg et al. | Apr 2000 | A |
6050718 | Schena et al. | Apr 2000 | A |
6063095 | Wang et al. | May 2000 | A |
6067077 | Martin et al. | May 2000 | A |
6084587 | Tarr et al. | Jul 2000 | A |
6097168 | Katoh et al. | Aug 2000 | A |
6102850 | Wang et al. | Aug 2000 | A |
6111577 | Zilles et al. | Aug 2000 | A |
6124693 | Okanda et al. | Sep 2000 | A |
6157873 | Decamp et al. | Dec 2000 | A |
6163124 | Ito et al. | Dec 2000 | A |
6181096 | Hashimoto et al. | Jan 2001 | B1 |
6191796 | Tarr | Feb 2001 | B1 |
6205411 | Digioia, III et al. | Mar 2001 | B1 |
6228089 | Wahrburg | May 2001 | B1 |
6233504 | Das et al. | May 2001 | B1 |
6236875 | Bucholz et al. | May 2001 | B1 |
6236906 | Muller | May 2001 | B1 |
6278902 | Hashimoto et al. | Aug 2001 | B1 |
6281651 | Haanpaa et al. | Aug 2001 | B1 |
6300937 | Rosenberg | Oct 2001 | B1 |
6304050 | Skaar et al. | Oct 2001 | B1 |
6311100 | Sarma et al. | Oct 2001 | B1 |
6314312 | Wessels et al. | Nov 2001 | B1 |
6322567 | Mittelstadt et al. | Nov 2001 | B1 |
6325808 | Bernard et al. | Dec 2001 | B1 |
6329777 | Itabashi et al. | Dec 2001 | B1 |
6329778 | Culp et al. | Dec 2001 | B1 |
6330837 | Charles et al. | Dec 2001 | B1 |
6336931 | Hsu et al. | Jan 2002 | B1 |
6339735 | Peless et al. | Jan 2002 | B1 |
6341231 | Ferre et al. | Jan 2002 | B1 |
6342880 | Rosenberg et al. | Jan 2002 | B2 |
6347240 | Foley et al. | Feb 2002 | B1 |
6351659 | Vilsmeier | Feb 2002 | B1 |
6351661 | Cosman | Feb 2002 | B1 |
6352532 | Kramer et al. | Mar 2002 | B1 |
6366272 | Rosenberg et al. | Apr 2002 | B1 |
6368330 | Hynes et al. | Apr 2002 | B1 |
6369834 | Zilles et al. | Apr 2002 | B1 |
6377839 | Kalfas et al. | Apr 2002 | B1 |
6385475 | Cinquin et al. | May 2002 | B1 |
6385508 | McGee et al. | May 2002 | B1 |
6385509 | Das et al. | May 2002 | B2 |
6401006 | Mizuno et al. | Jun 2002 | B1 |
6405072 | Cosman | Jun 2002 | B1 |
6408253 | Rosenberg et al. | Jun 2002 | B2 |
6411276 | Braun et al. | Jun 2002 | B1 |
6413264 | Jensen et al. | Jul 2002 | B1 |
6414711 | Arimatsu et al. | Jul 2002 | B2 |
6417638 | Guy et al. | Jul 2002 | B1 |
6421048 | Shih et al. | Jul 2002 | B1 |
6423077 | Carol et al. | Jul 2002 | B2 |
6424356 | Chang et al. | Jul 2002 | B2 |
6430434 | Mittelstadt | Aug 2002 | B1 |
6432112 | Brock et al. | Aug 2002 | B2 |
6434415 | Foley et al. | Aug 2002 | B1 |
6436107 | Wang et al. | Aug 2002 | B1 |
6443894 | Sumanaweera et al. | Sep 2002 | B1 |
6450978 | Brosseau et al. | Sep 2002 | B1 |
6461372 | Jensen et al. | Oct 2002 | B1 |
6463360 | Terada et al. | Oct 2002 | B1 |
6466815 | Saito et al. | Oct 2002 | B1 |
6468265 | Evans et al. | Oct 2002 | B1 |
6473635 | Rasche | Oct 2002 | B1 |
6486872 | Rosenberg et al. | Nov 2002 | B2 |
6490467 | Bucholz et al. | Dec 2002 | B1 |
6491702 | Heilbrun et al. | Dec 2002 | B2 |
6494882 | Lebouitz et al. | Dec 2002 | B1 |
6501997 | Kakino | Dec 2002 | B1 |
6507165 | Kato et al. | Jan 2003 | B2 |
6507773 | Parker et al. | Jan 2003 | B2 |
6514082 | Kaufman et al. | Feb 2003 | B2 |
6520228 | Kennedy et al. | Feb 2003 | B1 |
6522906 | Salisbury et al. | Feb 2003 | B1 |
6533737 | Brosseau et al. | Mar 2003 | B1 |
6535756 | Simon et al. | Mar 2003 | B1 |
6542770 | Zylka et al. | Apr 2003 | B2 |
6562055 | Walen | May 2003 | B2 |
6620174 | Jensen et al. | Sep 2003 | B2 |
6636161 | Rosenberg | Oct 2003 | B2 |
6639581 | Moore et al. | Oct 2003 | B1 |
6665554 | Charles et al. | Dec 2003 | B1 |
6671651 | Goodwin et al. | Dec 2003 | B2 |
6676669 | Charles et al. | Jan 2004 | B2 |
6697048 | Rosenberg et al. | Feb 2004 | B2 |
6699177 | Wang et al. | Mar 2004 | B1 |
6702805 | Stuart | Mar 2004 | B1 |
6704002 | Martin et al. | Mar 2004 | B1 |
6704683 | Hasser | Mar 2004 | B1 |
6704694 | Basdogan et al. | Mar 2004 | B1 |
6711432 | Krause et al. | Mar 2004 | B1 |
6723106 | Charles et al. | Apr 2004 | B1 |
6728599 | Wang et al. | Apr 2004 | B2 |
6756761 | Takahashi et al. | Jun 2004 | B2 |
6757582 | Brisson et al. | Jun 2004 | B2 |
6778850 | Adler et al. | Aug 2004 | B1 |
6778867 | Ziegler et al. | Aug 2004 | B1 |
6781569 | Gregorio et al. | Aug 2004 | B1 |
6785572 | Yanof et al. | Aug 2004 | B2 |
6785593 | Wang et al. | Aug 2004 | B2 |
6788999 | Green | Sep 2004 | B2 |
6793653 | Sanchez et al. | Sep 2004 | B2 |
6799106 | Fukushima et al. | Sep 2004 | B2 |
6804547 | Pelzer et al. | Oct 2004 | B2 |
6810314 | Tashiro et al. | Oct 2004 | B2 |
6827723 | Carson | Dec 2004 | B2 |
6832119 | Miller | Dec 2004 | B2 |
6833846 | Hasser | Dec 2004 | B2 |
6837892 | Shoham | Jan 2005 | B2 |
6856888 | Kawai | Feb 2005 | B2 |
6871117 | Wang et al. | Mar 2005 | B2 |
6892110 | Inoue et al. | May 2005 | B2 |
6892112 | Wang et al. | May 2005 | B2 |
6892129 | Miyano | May 2005 | B2 |
6895306 | Ebisawa et al. | May 2005 | B2 |
6903721 | Braun et al. | Jun 2005 | B2 |
6904823 | Levin et al. | Jun 2005 | B2 |
6941224 | Fukuyasu | Sep 2005 | B2 |
6958752 | Jennings et al. | Oct 2005 | B2 |
6963792 | Green | Nov 2005 | B1 |
6978166 | Foley et al. | Dec 2005 | B2 |
6982700 | Rosenberg et al. | Jan 2006 | B2 |
6999852 | Green | Feb 2006 | B2 |
7003368 | Koike et al. | Feb 2006 | B2 |
7006895 | Green | Feb 2006 | B2 |
7030585 | Iwashita et al. | Apr 2006 | B2 |
7034491 | Kozai et al. | Apr 2006 | B2 |
7035711 | Watanabe et al. | Apr 2006 | B2 |
7035716 | Harris et al. | Apr 2006 | B2 |
7038657 | Rosenberg et al. | May 2006 | B2 |
7042175 | Watanabe | May 2006 | B2 |
7044039 | Powell | May 2006 | B2 |
7047117 | Akiyama et al. | May 2006 | B2 |
7055789 | Libbey et al. | Jun 2006 | B2 |
7056123 | Gregorio et al. | Jun 2006 | B2 |
7084596 | Iwashita et al. | Aug 2006 | B2 |
7084867 | Ho | Aug 2006 | B1 |
7086056 | Fukushima | Aug 2006 | B2 |
7092791 | Terada et al. | Aug 2006 | B2 |
7097640 | Wang et al. | Aug 2006 | B2 |
7102314 | Hayashi | Sep 2006 | B2 |
7102635 | Shin et al. | Sep 2006 | B2 |
7103499 | Goodwin et al. | Sep 2006 | B2 |
7139601 | Bucholz et al. | Nov 2006 | B2 |
7155316 | Sutherland et al. | Dec 2006 | B2 |
7181315 | Watanabe et al. | Feb 2007 | B2 |
7193607 | Moore et al. | Mar 2007 | B2 |
7204844 | Jensen et al. | Apr 2007 | B2 |
7206626 | Quaid, III | Apr 2007 | B2 |
7206627 | Abovitz et al. | Apr 2007 | B2 |
7209117 | Rosenberg et al. | Apr 2007 | B2 |
7215326 | Rosenberg | May 2007 | B2 |
7221983 | Watanabe et al. | May 2007 | B2 |
7225404 | Zilles et al. | May 2007 | B1 |
7239940 | Wang et al. | Jul 2007 | B2 |
7245202 | Levin | Jul 2007 | B2 |
7249951 | Bevirt et al. | Jul 2007 | B2 |
7260437 | Senoo et al. | Aug 2007 | B2 |
7260733 | Ichikawa et al. | Aug 2007 | B2 |
7280095 | Grant | Oct 2007 | B2 |
7283120 | Grant | Oct 2007 | B2 |
7319466 | Tarr et al. | Jan 2008 | B1 |
7346417 | Luth et al. | Mar 2008 | B2 |
7404716 | Gregorio et al. | Jul 2008 | B2 |
7422582 | Malackowski et al. | Sep 2008 | B2 |
7447604 | Braun et al. | Nov 2008 | B2 |
7454268 | Jinno | Nov 2008 | B2 |
7460104 | Rosenberg | Dec 2008 | B2 |
7460105 | Rosenberg et al. | Dec 2008 | B2 |
7466303 | Yi et al. | Dec 2008 | B2 |
7468594 | Svensson et al. | Dec 2008 | B2 |
7491198 | Kockro | Feb 2009 | B2 |
7542826 | Hanzawa | Jun 2009 | B2 |
7543588 | Wang et al. | Jun 2009 | B2 |
7573461 | Rosenberg | Aug 2009 | B2 |
7577504 | Sawada et al. | Aug 2009 | B2 |
7590458 | Endo et al. | Sep 2009 | B2 |
7625383 | Charles et al. | Dec 2009 | B2 |
7648513 | Green et al. | Jan 2010 | B2 |
7657356 | Iwashita et al. | Feb 2010 | B2 |
7660623 | Hunter et al. | Feb 2010 | B2 |
7667687 | Cruz-Hernandez et al. | Feb 2010 | B2 |
7683565 | Quaid et al. | Mar 2010 | B2 |
7714836 | Rodomista et al. | May 2010 | B2 |
7725162 | Malackowski et al. | May 2010 | B2 |
7742801 | Neubauer et al. | Jun 2010 | B2 |
7744608 | Lee et al. | Jun 2010 | B2 |
7747311 | Quaid, III | Jun 2010 | B2 |
7765890 | Inoue et al. | Aug 2010 | B2 |
7800609 | Tarr et al. | Sep 2010 | B2 |
7813368 | Ootaka | Oct 2010 | B2 |
7813784 | Marquart et al. | Oct 2010 | B2 |
7813838 | Sommer | Oct 2010 | B2 |
7815644 | Masini | Oct 2010 | B2 |
7818044 | Dukesherer et al. | Oct 2010 | B2 |
7824424 | Jensen et al. | Nov 2010 | B2 |
7831292 | Quaid et al. | Nov 2010 | B2 |
7835784 | Mire et al. | Nov 2010 | B2 |
7843158 | Prisco | Nov 2010 | B2 |
7853356 | Tsai et al. | Dec 2010 | B2 |
7853358 | Joly | Dec 2010 | B2 |
7864173 | Handley et al. | Jan 2011 | B2 |
7881917 | Nagatsuka et al. | Feb 2011 | B2 |
7892243 | Stuart | Feb 2011 | B2 |
7914522 | Morley et al. | Mar 2011 | B2 |
7916121 | Braun et al. | Mar 2011 | B2 |
7950306 | Stuart | May 2011 | B2 |
7969288 | Braun et al. | Jun 2011 | B2 |
8004229 | Nowlin et al. | Aug 2011 | B2 |
8005571 | Sutherland et al. | Aug 2011 | B2 |
8005659 | Nelson et al. | Aug 2011 | B2 |
8010180 | Quaid et al. | Aug 2011 | B2 |
8013847 | Anastas | Sep 2011 | B2 |
8049457 | Okita et al. | Nov 2011 | B2 |
8049734 | Rosenberg et al. | Nov 2011 | B2 |
8054028 | Aoyama et al. | Nov 2011 | B2 |
8090475 | Blanc et al. | Jan 2012 | B2 |
8095200 | Quaid, III | Jan 2012 | B2 |
8271134 | Kato et al. | Sep 2012 | B2 |
8287522 | Moses et al. | Oct 2012 | B2 |
8391954 | Quaid, III | Mar 2013 | B2 |
8498744 | Odermatt et al. | Jul 2013 | B2 |
8560047 | Haider et al. | Oct 2013 | B2 |
8571628 | Kang | Oct 2013 | B2 |
8831779 | Ortmaier et al. | Sep 2014 | B2 |
9364291 | Bellettre et al. | Jun 2016 | B2 |
20020035321 | Bucholz et al. | Mar 2002 | A1 |
20030069591 | Carson et al. | Apr 2003 | A1 |
20030208296 | Brisson et al. | Nov 2003 | A1 |
20030216816 | Ito et al. | Nov 2003 | A1 |
20040010190 | Shahidi | Jan 2004 | A1 |
20040024311 | Quaid, III | Feb 2004 | A1 |
20040034283 | Quaid | Feb 2004 | A1 |
20040034302 | Abovitz et al. | Feb 2004 | A1 |
20040077939 | Graumann | Apr 2004 | A1 |
20040106916 | Quaid | Jun 2004 | A1 |
20040128030 | Nagata et al. | Jul 2004 | A1 |
20040148036 | Sunami | Jul 2004 | A1 |
20040157188 | Luth et al. | Aug 2004 | A1 |
20040243147 | Lipow | Dec 2004 | A1 |
20050171553 | Schwarz et al. | Aug 2005 | A1 |
20060071625 | Nakata et al. | Apr 2006 | A1 |
20060091842 | Nishiyama | May 2006 | A1 |
20060109266 | Itkowitz et al. | May 2006 | A1 |
20060111813 | Nishiyama | May 2006 | A1 |
20060142657 | Quaid | Jun 2006 | A1 |
20060155262 | Kishi et al. | Jul 2006 | A1 |
20060176242 | Jaramaz et al. | Aug 2006 | A1 |
20060257379 | Giordano et al. | Nov 2006 | A1 |
20060284587 | Teshima et al. | Dec 2006 | A1 |
20070013336 | Nowlin et al. | Jan 2007 | A1 |
20070085496 | Philipp et al. | Apr 2007 | A1 |
20070249911 | Simon | Oct 2007 | A1 |
20070260394 | Dean | Nov 2007 | A1 |
20070265527 | Wohlgemuth | Nov 2007 | A1 |
20070270685 | Kang et al. | Nov 2007 | A1 |
20070287911 | Haid et al. | Dec 2007 | A1 |
20080001565 | Nakashima et al. | Jan 2008 | A1 |
20080004633 | Arata | Jan 2008 | A1 |
20080009697 | Haider et al. | Jan 2008 | A1 |
20080010706 | Moses et al. | Jan 2008 | A1 |
20080058776 | Jo et al. | Mar 2008 | A1 |
20080065111 | Blumenkranz et al. | Mar 2008 | A1 |
20080077158 | Haider et al. | Mar 2008 | A1 |
20080114267 | Lloyd et al. | May 2008 | A1 |
20080161829 | Kang | Jul 2008 | A1 |
20090003975 | Kuduvalli et al. | Jan 2009 | A1 |
20090012532 | Quaid et al. | Jan 2009 | A1 |
20090043556 | Axelson et al. | Feb 2009 | A1 |
20090068620 | Knobel et al. | Mar 2009 | A1 |
20090082784 | Meissner et al. | Mar 2009 | A1 |
20090088774 | Swarup et al. | Apr 2009 | A1 |
20090096148 | Usui | Apr 2009 | A1 |
20090099680 | Usui | Apr 2009 | A1 |
20090102767 | Shiomi | Apr 2009 | A1 |
20090112316 | Umemoto et al. | Apr 2009 | A1 |
20090149867 | Glozman et al. | Jun 2009 | A1 |
20090245992 | Kato | Oct 2009 | A1 |
20090248038 | Blumenkranz et al. | Oct 2009 | A1 |
20090259412 | Brogardh | Oct 2009 | A1 |
20090308683 | Suzuki | Dec 2009 | A1 |
20100076474 | Yates et al. | Mar 2010 | A1 |
20100094312 | Morales et al. | Apr 2010 | A1 |
20100137882 | Quaid, III | Jun 2010 | A1 |
20100154578 | Duval | Jun 2010 | A1 |
20100168950 | Nagano | Jul 2010 | A1 |
20100174410 | Greer et al. | Jul 2010 | A1 |
20100286826 | Tsusaka et al. | Nov 2010 | A1 |
20100292707 | Ortmaier et al. | Nov 2010 | A1 |
20100331859 | Omori | Dec 2010 | A1 |
20110077590 | Plicchi et al. | Mar 2011 | A1 |
20110082468 | Hagag et al. | Apr 2011 | A1 |
20110106102 | Balicki et al. | May 2011 | A1 |
20110118751 | Balaji et al. | May 2011 | A1 |
20110130761 | Plaskos et al. | Jun 2011 | A1 |
20110152676 | Groszmann et al. | Jun 2011 | A1 |
20110160745 | Fielding et al. | Jun 2011 | A1 |
20110257653 | Hughes et al. | Oct 2011 | A1 |
20110263971 | Nikou et al. | Oct 2011 | A1 |
20110264107 | Nikou et al. | Oct 2011 | A1 |
20110264112 | Nowlin et al. | Oct 2011 | A1 |
20110277580 | Cooper et al. | Nov 2011 | A1 |
20110295268 | Roelle et al. | Dec 2011 | A1 |
20110301500 | Maguire et al. | Dec 2011 | A1 |
20110306985 | Inoue et al. | Dec 2011 | A1 |
20120059378 | Farrell | Mar 2012 | A1 |
20120071752 | Sewell et al. | Mar 2012 | A1 |
20120071893 | Smith et al. | Mar 2012 | A1 |
20120123441 | Au et al. | May 2012 | A1 |
20120143084 | Shoham | Jun 2012 | A1 |
20120173021 | Tsusaka | Jul 2012 | A1 |
20120197182 | Millman et al. | Aug 2012 | A1 |
20120245595 | Kesavadas et al. | Sep 2012 | A1 |
20120330429 | Axelson et al. | Dec 2012 | A1 |
20130006267 | Odermatt et al. | Jan 2013 | A1 |
20130019883 | Worm et al. | Jan 2013 | A1 |
20130035690 | Mittelstadt et al. | Feb 2013 | A1 |
20130035696 | Qutub | Feb 2013 | A1 |
20130060278 | Bozung et al. | Mar 2013 | A1 |
20130096574 | Kang et al. | Apr 2013 | A1 |
20130116706 | Lee et al. | May 2013 | A1 |
20130172902 | Lightcap et al. | Jul 2013 | A1 |
20130172905 | Iorgulescu | Jul 2013 | A1 |
20130178868 | Roh | Jul 2013 | A1 |
20130304258 | Taylor et al. | Nov 2013 | A1 |
20130325029 | Hourtash et al. | Dec 2013 | A1 |
20130345718 | Crawford et al. | Dec 2013 | A1 |
20140135795 | Yanagihara | May 2014 | A1 |
20140148818 | Komuro et al. | May 2014 | A1 |
20140195205 | Benker et al. | Jul 2014 | A1 |
Number | Date | Country |
---|---|---|
101031236 | Sep 2007 | CN |
101815981 | Aug 2010 | CN |
1 680 007 | Jul 2006 | EP |
1 871 267 | Jan 2008 | EP |
1 973 487 | Jan 2008 | EP |
2 666 428 | Nov 2013 | EP |
WO-9611624 | Apr 1996 | WO |
WO-9937220 | Jul 1999 | WO |
WO-0021450 | Apr 2000 | WO |
WO-0035366 | Jun 2000 | WO |
WO-0059397 | Oct 2000 | WO |
WO-0060571 | Oct 2000 | WO |
WO-0200131 | Jan 2002 | WO |
WO-0224051 | Mar 2002 | WO |
WO-02060653 | Aug 2002 | WO |
WO-02065931 | Aug 2002 | WO |
WO-02074500 | Sep 2002 | WO |
WO-02076302 | Oct 2002 | WO |
WO-03086714 | Oct 2003 | WO |
WO-03094108 | Nov 2003 | WO |
WO-2004001569 | Dec 2003 | WO |
WO-2004014244 | Feb 2004 | WO |
WO-2004019785 | Mar 2004 | WO |
WO-2004069036 | Aug 2004 | WO |
WO-2005009215 | Feb 2005 | WO |
WO-2005122916 | Dec 2005 | WO |
WO-2006063156 | Jun 2006 | WO |
WO-2006058633 | Aug 2006 | WO |
WO-2006091494 | Aug 2006 | WO |
WO-2007017642 | Feb 2007 | WO |
WO-2007111749 | Oct 2007 | WO |
WO-2007117297 | Oct 2007 | WO |
WO-2007136739 | Nov 2007 | WO |
WO-2007136768 | Nov 2007 | WO |
WO-2007136769 | Nov 2007 | WO |
WO-2007136771 | Nov 2007 | WO |
WO-2009059330 | May 2009 | WO |
WO-2011021192 | Feb 2011 | WO |
WO-2011088541 | Jul 2011 | WO |
WO-2011106861 | Sep 2011 | WO |
WO-2011113483 | Sep 2011 | WO |
WO-2011128766 | Oct 2011 | WO |
WO-2011133873 | Oct 2011 | WO |
WO-2011133927 | Oct 2011 | WO |
WO-2011134083 | Nov 2011 | WO |
WO-2012018816 | Feb 2012 | WO |
WO-2013181507 | Dec 2013 | WO |
Entry |
---|
Ahmadi et al., “Non-Hertzian Contact Stress Analysis for an Elastic Half-Space Normal and Sliding Contact,” Int. J. Solids Structures, vol. 19, No. 4, pp. 357-373, 1983. |
Ansar et al., “Visual and haptic collaborative tele-presence,” Computers & Graphics, vol. 25, 2001, pp. 789-798. |
B. Davies, “A review of robotics in surgery”, Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine Jan. 1, 2000, vol. 214, No. 1, pp. 129-14. |
B. Davies, “Computer-assisted and robotics surgery,” International Congress and Symposium Series, 1997, pp. 71-82. |
B. Preising et al., “A Literature Review Robots in Medicine, Engineering in Medicine and Biology Magazine”, IEEE (vol. 10, Issue: 2), Jun. 1991, pp. 13-22, IEEE; 10 pages. |
B.L. Davies, “Robotics in minimally invasive surgery, Through the Keyhole: Microengineering in Minimally Invasive Surgery,” IEEE Colloquium on Jun. 6, 1995, pp. 5/1-5/2. |
Bærentzen, J.A., “Octree-based vol. Sculpting, Proc. Late Breaking Hot Topics,” IEEE Visualization '98, 1998, pp. 9-12. |
Bainville, et al., Concepts and Methods of Registration for Computer-Integrated Surgery, Computer Assisted Orthopedic Surgery (CAOS), 1999, Hogrefe & Huber Publishers, 22 pages. |
Bargar et al., “Primary and Revision Total Hip Replacement Using the Robodoc System,” Clinical Orthopaedics and Related Research, No. 354, Sep. 1998, pp. 82-91. |
Bei et al., “Multibody Dynamic Simulation of Knee Contact Mechanics,” Medical Engineering & Physics, vol. 26, pp. 777-789, 2004. |
Bouazza-Marouf et al., “Robot-assisted invasive orthopaedic surgery,” Mechatronics in Surgery, vol. 6, issue 4, Jun. 1996, pp. 381-397. |
Brandt et al., “CRIGOS: A Compact Robot for Image-Guided Orthopedic Surgery,” Information Technology in Biomedicine, IEEE Transactions on, vol. 3, No. 4, 1999, pp. 252-260. |
Brisson et al., “Precision Freehand Sculpting of Bone,” Medical Image Computing and Computer-Assisted Intervention—MICCAI 2004, Lecture Notes in Computer Science, vol. 3217, 2004, pp. 105-112. |
Burghart et al., “Robot Controlled Osteotomy in Craniofacial Surgery,” , First International Workshop on Haptic Devices in Medical Applications Proceedings, Jun. 23, 1999, pp. 12-22. |
Burghart et al., “Robotergestutzte Osteotomie in der craniofacialen Chirurgie (Robot Clipped osteotomy in craniofacial surgery),” Jul. 1, 1999, 250 pages. |
Catto et al., “Iterative Dynamics with Temporal Coherence,” Feb. 2005, 24 pages. |
Catto, “Soft Constraints Reinventing the Spring,” Game Developer Conference, 2011, 51 pages. |
Choi et al., “Flexure-based Manipulator for Active Handheld Microsurgical Instrument, Engineering in Medicine and Biology Society,” Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference of the Digital Object Identifier, 2005, pp. 5085-5088. |
Colgate et al., Issues in the Haptic Display of Tool Use, Intelligent Robots and Systems 95.'Human Robot Interaction and Cooperative Robots, Proceedings. 1995 IEEE/RSJ International Conference on, vol. 3, 1995, pp. 140-145. |
D. Engel et al., “A Safe Robot System for Craniofacial Surgery”, Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on (vol. 2), pp. 2020-2024, IEEE; 5 pages. |
Davies et al., “ACROBOT—using robots and surgeons synergistically in knee surgery,” Advanced Robotics, ICAR '97. Proceedings., 8th International Conference on, 1997, pp. 173-178. |
Davies et al., Active compliance in robotic surgery—the use of force control as a dynamic constraint, Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 211, Apr. 1, 1997, pp. 285-292. |
Davies et al., “Neurobot a special-purpose robot for neurosurgery,” Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on, vol. 4, 2000, pp. 4103-4108. |
Davies, B., et al., “Active-Constraint Robotics for Surgery”, Proceedings of the IEEE, vol. 94, No. 9, pp. 1696-1704 (2006). |
Delp et al., “Computer Assisted Knee Replacement,” Clinical Orthopaedics, vol. 354, Sep. 1998, pp. 49-56. |
Digioia et al., “Computer Assisted Orthopaedic Surgery Image Guided and Robotic Assistive Technologies,” Clinical Orthopaedics & Related Research, Sep. 1998, vol. 354, pp. 8-16. |
Doignon et al., “Segmentation and guidance of multiple rigid objects for intra-operative endoscopic vision,” Proceeding WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 International Conference on Dynamical Vision, 2006, pp. 314-327. |
Ellis et al., “A surgical planning and guidance system for high tibial osteotomy,” Computer Aided Surgery, vol. 4, Apr. 16, 1999, pp. 264-274. |
Fadda et al., “Computer Assisted Planning for Total Knee Arthroplasty,” 1997, pp. 619-628. |
Fadda et al., “Computer-Assisted Knee Arthroplasty at Rizzoli Institutes,” First International Symposium on Medical Robotics and Computer Assisted Surgery, Sep. 22-24, 1994, pp. 26-30. |
Fadda et al., “Premiers Pas Vers La Dissectomie et la Realisation de Protheses du Genou a L'Aide de Robots,” lnnov. Tech. Bio. Med., vol. 13, No. 4, 1992, pp. 394-409. |
Fleute et al., “Incorporating a statistically based shape model into a system for computer-assisted anterior cruciate ligament surgery,” Medical Image Analysis, vol. 3, No. 3, Oct. 1999, pp. 209222. |
Gravel et al., Flexible robotic assembly efforts at Ford Motor Company, Intelligent Control, Proceedings of the 2001 IEEE International Symposium on 2001, pp. 173-182. |
Gravel et al., Flexible Robotic Assembly, Measuring the Performance and Intelligence of Systems: Proceedings of the 2000 PerMIS Workshop, NIST Interagency/Internal Report (NISTIR), Aug. 2000, pp. 412-418. |
Grueneis et al., “Clinical Introduction of the Caspar System Problems and Initial Results,” 4th International Symposium of Computer Assisted Orthopaedic Surgery, 1999, p. 160. |
Haider et al., “Minimally Invasive Total Knee Arthroplasty Surgery Through Navigated Freehand Bone Cutting,” Journal of Arthroplasty, vol. 22, No. 4, Jun. 2007, pp. 535-542. |
Ham et al., “Accuracy study on the registration of the tibia by means of an intramedullary rod in robot-assisted total knee arthroplasty,” Poster Session—Knee Arthroplasty, Orthopaedic Research Society, Mar. 12-50, 2000, p. 450. |
Ham et al., “Machining and Accuracy Studies for a Tibial Knee Implant Using a Force-Controlled Robot,” Computer Aided Surgery, vol. 3, 1998, pp. 123-133. |
Harris et al., “Experiences with Robotic Systems for Knee Surgery,” Lecture Notes in Computer Science, vol. 1205, 1997, pp. 757-766. |
Harris et al., “Intra-operative Application of a Robotic Knee Surgery System, Medical Image Computing and Computer-Assisted Intervention MICCAI'99,” vol. 1679, 1999, pp. 1116-1124. |
Haβfeld et al., “Intraoperative Navigation Techniques Accuracy Tests and Clinical Report,” In: Computer Assisted Radiology and Surgery (CARS'98), Jun. 1998, pp. 670-675. |
Ho et al., “Force Control for Robotic Surgery,” , ICAR '95, 1995, pp. 21-32. |
Ho et al., “Robot Assisted Knee Surgery Establishing a force control strategy incorporating active motion constraint,” IEEE Engineering in Medicine and Biology, vol. 14, No. 3, May/Jun. 1995, pp. 292-300. |
Hyosig et al., “Autonomous Suturing using Minimally Invasive Surgical Robots, Control Applications,” Proceedings of the 2000 IEEE International Conference on, Sep. 25-27, 2000, pp. 742-747. |
Hyosig et al., “EndoBot a Robotic Assistant in Minimally Invasive Surgeries, Robotics and Automation,” IEEE International Conference on, vol. 2, 2001, pp. 2031-2036. |
International Search Report and Written Opinion issued in corresponding International Application No. PCT/US2011/067202 dated May 7, 2012. |
J. T. Lea, “Registration Graphs a Language for Modeling and Analyzing Registration in Image-Guided Surgery,” Dec. 1998, 49 pages. |
Jakopec et al., “The first clinical application of a “hands-on” robotic knee surgery system,” Computer Aided Surgery, vol. 6, issue 6, 2001, pp. 329-339. |
Jaramaz et al. “Range of Motion After Total Hip Arthroplasty Experimental Verification of the Analytical Simulator,” CVRMed-MRCAS'97, Lecture Notes in Computer Science, Feb. 20, 1997, vol. 1205, pp. 573-582. |
Kato et al., “A frameless, armless navigational system for computer-assisted neurosurgery”. Technical note, Journal of Neurosurgery, vol. 74, May 1991, pp. 845-849; 5 pages. |
Kazanzides et al., “Architecture of a Surgical Robot, Systems, Man and Cybernetics,” IEEE International Conference on, vol. 2, 1992, pp. 1624-1629. |
Khadem et al., “Comparative Tracking Error Analysis of Five Different Optical Tracking Systems,” Computer Aided Surgery, vol. 5, 2000, pp. 98-107. |
Kienzle et al., “An Integrated CAD-Robotics System for Total Knee Replacement Surgery, Systems, Man and Cybernetics” IEEE International Conference on, vol. 2, 1992, pp. 1609-1614. |
Kienzle et al., “Total Knee Replacement Computer-assisted surgical system uses a calibrated robot” Engineering in Medicine and Biology, vol. 14, issue 3, May 1995, pp. 301-306. |
Kim et al., “Haptic interaction and volume modeling techniques for realistic dental simulation”, Visual Computers, vol. 22, 2006, pp. 90-98. |
Korb et al., “Development and First Patient Trial of a Surgical Robot for Complex Trajectory Milling,” Computer Aided Surgery, vol. 8, 2008, pp. 247-258. |
Koseki et al., “Robotic assist for MR-guided surgery using leverage and parallelepiped mechanism,” Medical Image Computing and Computer-Assisted Intervention -MICCAI 2000, Lecture Notes in Computer Science, 2000, vol. 1935, pp. 940-948. |
Kozlowski et al., Automated Force Controlled Assembly Utilizing a Novel Hexapod Robot Manipulator, Automation Congress, 2002, Proceedings of the 5th Biannual World, 2002, pp. 547552, vol. 14, 6 pages. |
Lavallee et al., “Computer Assisted Spine Surgery a technique for accurate transpedicular screw fixation using CT data and a 3-D optical localizer,” Journal of Image Guided Surgery, 1995, pp. 65-73. |
Lea et al., “Registration and immobilization in robot-assisted surgery,” Journal of Image Guided Surgery, Computer Aided Surgery, col. 1, No. 2, 1995, pp. 80-87. |
Leitner et al., “Computer-Assisted Knee Surgical Total Replacement,” Lecture Notes in Computer Science, vol. 1205, 1997, pp. 629-638. |
Levison et al., Surgical Navigation for THR A Report on Clinical Trial Utilizing HipNav, MICCAI 2000, LNCS 1935, pp. 1185-1187. |
Louhisalmi et al., “Development of a Robotic Surgical Assistant,” 1994, pp. 1043-1044. |
Maquet et al., “An Automated Cell for Prosthesis Surgery,” Robotics World, No. 87, 1999, pp. 30-31. |
Matsen et al., “Robotic Assistance in Orthopaedic Surgery a Proof of Principle Using Distal Femoral Arthroplasty,” Clinical Orthopaedic Related Research, Nov. 1993, vol. 296, pp. 178-186. |
Meng et al., “Remote surgery case robot-assisted teleneurosurgery,” Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on, Apr. 26-May 1, 2004, vol. 1, pp. 0819-823. |
Moctezuma et al., “A Computer and Robotic Aided Surgery System for Accomplishing Osteotomies”, First International Symposium on Medical Robotics and Computer Assisted Surgery, Sep. 22-24, 1994, Pittsburgh, Pennsylvania, US; 6 pages. |
Nolte et al., “A Novel Approach to Computer Assisted Spine Surgery”, Proc. First International Symposium on Medical Robotics and Computer Assisted Surgery, Pittsburgh, 1994, pp. 323-328; 7 pages. |
O'Toole et al., “, Biomechanics for Preoperative Planning and Surgical Simulations in Orthopaedics,” Computers in Biology and Medicine, vol. 25, issue 2, Mar. 1995, pp. 183-191. |
P. Shinsuk, “Safety Strategies for Human-Robot Interaction in Surgical Environment,” SICE-ICASE, 2006. International Joint Conference, Oct. 18-21, 2006, pp. 1769-1773. |
Paul et al., “A Surgical Robot for Total Hip Replacement Surgery, International Conference on Robotics and Automation,” IEEE, 1992, pp. 606-611. |
Paul et al., “Development of a Surgical Robot for Cementless Total Hip Arthroplasty”, Clinical Orthopaedics and Related Research, No. 285, Dec. 1992, pp. 57-66. |
Paul et al., “Robotic Execution of a Surgical Plan, Systems, Man and Cybernetics, 1992,” IEEE International Conference on, Oct. 18-21, 1992, pp. 1621-1623. |
Petersik et al., “Realistic Haptic Interaction in volume Sculpting for Surgery Simulation,” Surgery Simulation and Soft Tissue Modeling, vol. 2673, Jan. 1, 2003, pp. 194-202. |
Quaid et al., “Haptic Information Displays for Computer-Assisted Surgery, Robotics and Automation,” IEEE International Conference on, vol. 2, 2002, pp. 2092-2097. |
R. Abovitz, “Digital surgery the future of medicine and human-robot symbiotic interaction,” Industrial Robot: An International Journal, vol. 28, issue 5, pp. 401-406. |
R. Buckingham, “Robotics in surgery a new generation of surgical tools incorporate computer technology and mechanical actuation to give surgeons much finer control than previously possible during some operations,” IEEE Review, Sep. 1994, pp. 193-196. |
R. Buckingham, Safe Active Robotic Devices for Surgery, Systems, Man and Cybernetics, 1993. Systems Engineering in the Service of Human, Conference Proceedings., International Conference on, Oct. 17-20, 1993, vol. 5, pp. 355-358. |
R.A. Abovitz, Human-Interactive Medical Robotics, 2000, pp. 71-72. |
Raczkowsky et al., Ein Robotersystem fur craniomaxillofaciale chirurgische Eingriffe (A robotic system for surgical procedures craniomaxillofaciale), Computer Forsch. Entw, vol. 14, 1999, pp. 24-35. |
Redlich et al., “Robot assisted craniofacial surgery first clinical evaluation,” Computer Assisted Radiology and Surgery, 1999, pp. 828-833. |
Rembold et al., “Surgical Robotics: an Introduction,” Journal of Intelligent and Robotic Systems, vol. 30, No. 1, 2001, pp. 1-28. |
Riviere et al., “Modeling and Canceling Tremor in Human-Machine Interfaces,” Engineering in Medicine and Biology Magazine, vol. 15, issue 3, 1996, pp. 29-36. |
Rohling et al., “Comparison of Relative Accuracy Between a Mechanical and an Optical Position Tracker for Image-Guided Neurosurgery,” Journal of Image Guided Surgery, vol. 1, No. 4, 1995, pp. 30-34. |
S. Lembcke, Realtime Rigid Body Simulation Using Impulses, 2006, 5 pages. |
Salisbury et al., “Active Stiffness Control of a Manipulator in Cartesian Coordinates, Decision and Control including the Symposium on Adaptive Processes,” IEEE, vol. 19, Dec. 1980, pp. 95-100. |
Santos-Munné et al., “A Stereotactic/Robotic System for Pedicle Screw Placement, Interactive Technology and the New Paradigm for Healthcare”, (Proceedings of the Medicine Meets Virtual Reality III Conference, San Diego, 1995), pp. 326-333, IOS Press and Ohmsha; 8 pages. |
Satava, R.M., “Surgical robotics the early chronicles a personal historical perspective,” Surgical Laparoscopic Endoscopic Percutaneous Technology, vol. 12, 2002, pp. 6-16. |
Schmidt et al., “EasyGuide Neuro, A New System for Image-Guided Planning, Simulation and Navigation in Neurosurgery,” Biomedical Engineering, vol. 40, supplement 1, 1995, pp. 233-234. |
Seibold et al., “Prototype of Instrument for Minimally Invasive Surgery with 6-Axis Force Sensing Capability, Robotics and Automation,” ICRA 2005. Proceedings of the 2005 IEEE International Conference on, 2005, pp. 498-503. |
Siebert et al., “Technique and first clinical results of robot-assisted total knee replacement,” The Knee, vol. 9, issue 3, Sep. 2002, pp. 173-180. |
Sim et al., “Image-Guided Manipulator Compliant Surgical Planning Methodology for Robotic Skull-Base Surgery, Medical Imaging and Augmented Reality,” Proceedings. International Workshop on, 2001, pp. 26-29. |
Simon et al., “Accuracy validation in image-guided orthopaedic surgery,” In Medical Robotics and Computer Assisted Surgery, 1995, pp. 185-192. |
Spencer, E.H., “The ROBODOC Clinical Trial a Robotic Assistant for Total Hip Arthroplasty,” Orthopaedic Nursing, vol. 14, issue 1, 1996. pages 9-14. |
Spetzger et al., “Frameless Neuronavigation in Modern Neurosurgery, Minimally Invasive Neurosurgery,” vol. 38, Dec. 1995, pp. 163-166. |
T. Wang et al., “A robotized surgeon assistant”, Intelligent Robots and Systems '94. 'Advanced Robotic Systems and the Real World', IROS '94. Proceedings of the IEEE/RSJ/GI International Conference on, Sep. 12-16, 1994, pp. 862-869, vol. 2, IEEE, Munich, Germany; 8 pages. |
Taylor et al., “, An Image-directed Robotic System for Hip Replacement Surgery,” vol. 8, No. 5, 1990, pp. 111-116. |
Taylor et al., “A Model-Based Optimal Planning and Execution System with Active Sensing and Passive Manipulation for Augmentation of Human Precision in Computer-Integrated Surgery, Section 4 Robotic Systems and Task-Level Programming, Experimental Robotics II” The 2nd International Symposium, Lecture Notes in Control and Information Sciences, vol. 190, 1991, pp. 177-195. |
Taylor et al., “A Steady-Hand Robotic System for Microsurgical Augementation”, MICCAI99: the Second International Conference on Medical Image Computing and Computer-Assisted Intervention, Cambridge, England, Sep. 19-22, 1999. MICCAI99 Submission #1361999, pp. 1031-1041, Springer-Verlag Berlin Heidelberg; 11 pages. |
Taylor et al., “An Image-Directed Robotic System for Precise Orthopaedic Surgery, Robotics and Automation,” IEEE Transactions on vol. 10, issue 3, 1994, pp. 261-275. |
Tonet Et al., “An Augmented Reality Navigation System for Computer Assisted Arthroscopic Surgery of the Knee, Medical Image Computing and Computer-Assisted Intervention—MICCAI 2000,” Lecture Notes in Computer Science, vol. 1935, 2000, pp. 1158-1162. |
Troccaz et al., “A passive arm with dynamic constraints a solution to safety problems in medical robotics”, Systems, Man and Cybernetics, 1993. ‘Systems Engineering in the Service of Humans’, Conference Proceedings., International Conference on, Oct. 17-20, 1993, pp. 166-171, vol. 3, IEEE, Le Touquet, FR; 6 pages. |
Troccaz et al., “Guiding systems for computer-assisted surgery introducing synergistic devices and discussing the different approaches,” Medical Image Analysis, vol. 2, No. 2, 1998, pp. 101-119. |
Troccaz et al., Semi-Active Guiding Systems in Surgery. A Two-DOF Prototype of the Passive Arm with Dynamic Constraints (PADyC), Mechatronics, vol. 6, issue 4, Jun. 1996, pp. 399-421. |
Watanabe et al., “Three-Dimensional Digitizer (Neuronavigator); New Equipment for Computed Tomography-Guided Stereotaxic Surgery,” , Surgical Neurology, vol. 27, issue 6, Jun. 1987, pp. 543-547. |
Written Opinion for Application No. PCT/US2013/053451 dated Mar. 19, 2014; 12 pages. |
Zilles et al., “A Constraint-Based God-object Method for Haptic Display”, Intelligent Robots and Systems 95. 'Human Robot Interaction and Cooperative Robots', Proceedings. 1995 IEEE/RSJ International Conference on, Aug. 5-9, 1995, pp. 146-151, vol. 3, IEEE, MIT, Cambridge, MA, USA; 6 pages. |
Number | Date | Country | |
---|---|---|---|
20170177191 A1 | Jun 2017 | US |
Number | Date | Country | |
---|---|---|---|
61428210 | Dec 2010 | US | |
61679258 | Aug 2012 | US | |
61792251 | Mar 2013 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 13958070 | Aug 2013 | US |
Child | 14841062 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 14841062 | Aug 2015 | US |
Child | 15401567 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 13339369 | Dec 2011 | US |
Child | 15451257 | US | |
Parent | 15401567 | Jan 2017 | US |
Child | 13339369 | US |