The various embodiments disclosed herein relate to robotic surgical systems and devices that use force and/or torque sensors to measure forces applied at various components of the system or device. Some exemplary implementations relate to various robotic surgical devices having one or more force/torque sensors that detect or measure one or more forces applied at or on one or more arms. Other embodiments relate to various systems that have a robotic surgical device and a controller, wherein the device has one or more sensors and the controller has one or more motors such that the sensors transmit information that is used at the controller to actuate the motors to provide haptic feedback to a user.
Robotic surgical systems have surgical robotic devices or components positioned within a target cavity of a patient such that one or more arms or other components of such a device are configured to perform a procedure within the cavity. In these systems, an external controller is operably coupled to the surgical device such that a user can control or manipulate the device within the patient's cavity via the external controller. One disadvantage of such systems is the lack of tactile feedback for the user during the procedure. That is, the surgeon cannot “feel” the amount of force being applied by or on the arms or components of the surgical device within the patient's cavity in the same way that a surgeon would get some tactile feedback using standard laparoscopic tools (involving long tools inserted through trocars that are positioned into the cavity through incisions).
There is a need in the art for improved robotic surgical systems that can detect and/or measure forces applied at or on robotic surgical devices positioned within a patient and/or provide haptic feedback to the user at the external controller.
Discussed herein are various robotic surgical devices, each having one or more force or torque sensors to measure force or torque applied to certain portions of the device. Additionally, surgical systems are also disclosed, each having an external controller that works in conjunction with sensors on a robotic surgical device to provide haptic feedback to a user.
In Example 1, a robotic surgical device comprises a device body configured to be positioned through an incision into a cavity of a patient, a first shoulder component operably coupled to the device body, a first arm operably coupled to the first shoulder component, and a force sensor operably coupled with the first arm. The first arm is configured to be positioned entirely within the cavity of the patient. The force sensor is positioned to measure an amount of force applied by the first arm.
Example 2 relates to the robotic surgical device according to Example 1, wherein the force sensor is disposed between the device body and the first shoulder component.
Example 3 relates to the robotic surgical device according to Example 1, wherein the force sensor is disposed on the first arm.
Example 4 relates to the robotic surgical device according to Example 3, wherein the first arm comprises an upper arm component and a forearm component, wherein the force sensor is disposed on the forearm component.
Example 5 relates to the robotic surgical device according to Example 1, wherein the first arm comprises an upper arm component and a forearm component, wherein the forearm component is operably coupled to the upper arm component at an elbow joint, wherein the forearm component comprises a link operably coupled at a distal end to the force sensor and operably coupled at a proximal end to an elbow joint.
Example 6 relates to the robotic surgical device according to Example 5, further comprising an interface plate disposed between the force sensor and the link.
Example 7 relates to the robotic surgical device according to Example 1, wherein the force sensor is positioned to measure the amount of force applied at a distal-most point on the first arm.
In Example 8, a robotic surgical system comprises a robotic surgical device configured to be positioned into a cavity of a patient through an incision, a processor, and a user controller operably coupled to the processor. The robotic surgical device comprises a device body, at least one arm operably coupled to the body, and at least one sensor operably coupled to the device. The processor is operably coupled to the at least one sensor. The user controller comprises a base, an upper arm component operably coupled to the base at a shoulder joint, a forearm component operably coupled to the upper arm component at an elbow joint, and a grasper operably coupled to the forearm component at a wrist joint. The shoulder joint comprises a first actuator operably coupled to the processor. The elbow joint comprises a second actuator operably coupled to the processor. The wrist joint comprises a third actuator operably coupled to the processor. The at least one sensor is configured to sense force or torque at the robotic surgical device and transmit force or torque information to the processor. The processor is configured to calculate the force or torque being applied at the robotic surgical device and transmit instructions to actuate at least one of the first, second, or third actuator based on the force or torque, thereby providing haptic feedback at the controller.
Example 9 relates to the robotic surgical system according to Example 8, wherein the at least one sensor is a force sensor operably coupled to the at least one arm.
Example 10 relates to the robotic surgical system according to Example 8, wherein the at least one sensor is a torque sensor operably coupled to a joint of the at least one arm.
Example 11 relates to the robotic surgical system according to Example 8, wherein the at least one sensor is a force sensor positioned between the device body and the at least one arm.
Example 12 relates to the robotic surgical system according to Example 8, wherein the at least one sensor is a force sensor disposed within the device body.
In Example 8, a robotic surgical device comprises a device body configured to be positioned through an incision into a cavity of a patient, a first arm operably coupled to the device body, a force sensor, and an end effector operably coupled to the actuator. The first arm comprises an actuator disposed within the first arm. Further, the first arm is configured to be positioned entirely within the cavity of the patient. The force sensor is operably coupled to the actuator. The end effector is positioned at a distal end of the first arm.
Example 14 relates to the robotic surgical device according to Example 13, further comprising a push/pull rod comprising a distal portion and a proximal portion, wherein the push/pull rod is operably coupled to the actuator at the proximal portion and further wherein the push/pull rod is operably coupled to the end effector at the distal portion.
Example 15 relates to the robotic surgical device according to Example 14, wherein the force sensor is disposed proximal to the actuator and is operably coupled to the proximal portion of the push/pull rod.
Example 16 relates to the robotic surgical device according to Example 14, wherein the end effector is a grasper, wherein the grasper comprises an open configuration when the push/pull rod is urged to a distal position, and further wherein the grasper comprises a closed configuration when the push/pull rod is urged to a proximal position.
Example 17 relates to the robotic surgical device according to Example 14, wherein the force sensor is operably coupled to the push/pull rod such that the force sensor is positioned along the length of the push/pull rod.
Example 18 relates to the robotic surgical device according to Example 13, wherein the end effector is a grasper.
Example 19 relates to the robotic surgical device according to Example 13, further comprising a shaft operably coupled to the end effector and a first gear operably coupled to the shaft, wherein the actuator comprises a second gear operably coupled to the first gear.
Example 20 relates to the robotic surgical device according to Example 19, wherein actuation of the actuator causes the shaft to rotate, thereby causing the end effector to rotate.
While multiple embodiments are disclosed, still other embodiments of the present invention will become apparent to those skilled in the art from the following detailed description, which shows and describes illustrative embodiments of the invention. As will be realized, the invention is capable of modifications in various obvious aspects, all without departing from the spirit and scope of the present invention. Accordingly, the drawings and detailed description are to be regarded as illustrative in nature and not restrictive.
The various embodiments herein relate to a surgical device configured to detect and measure the amount of force applied by the arm of the device. In certain embodiments, the surgical device is a robotic device with a robotic arm and at least one force sensor configured to detect the amount of force. In one embodiment, the force that is measured is the amount of force applied to the distal end of the robotic arm (also referred to herein as the “endpoint”). The information relating to the amount of force is then transmitted from the sensor to an external controller.
Further, in certain implementations, the sensor 22 is coupled at its proximal end to a proximal connection component 24 and at its distal end to a distal connection component 26. In the embodiment depicted in
According to one implementation, this configuration results in the sensor 22 being positioned close to the incision in the patient when the device 10 is positioned correctly for purposes of a procedure. Given the position of the force sensor 22 proximal to the shoulder 20, it is understood that the sensor 22 will be subject to greater forces (due to the weight and length of the left arm 16) in comparison to a sensor positioned somewhere along or in a portion of the arm 16 itself. It is further understood that the position of the sensor 22 will also result in the sensor's 22 force detection being influenced by any forces applied anywhere along the length of the arm 16. The force sensor 22 is configured to detect and collect data relating to the amount of force being applied by the arm 16 during a procedure. In certain embodiments, the data is used to calculate the amount of force being applied at the most distal point on the arm 36 (the endpoint).
In one specific implementation, the force sensor 22 is a force torque sensor 22. Alternatively, the sensor 22 can be any known force or torque sensor as described in further detail elsewhere herein.
An alternative embodiment of a robotic device 30 with a force sensor 40 is depicted in
Alternatively, it is understood that the sensor 40 could be positioned anywhere on or within any of the components of either arm 34, 36 of this device 30 or any other device described or contemplated herein. For example, with respect to the right arm 34, a force sensor could be positioned within or on the right shoulder 38, the right upper arm 34A, or the right forearm 34B. Alternatively, the sensor could be positioned on or within any part of the left arm 36. Alternatively, the device 30 can have at least one sensor in each arm 34, 36. That is, in addition to the sensor 40 in the forearm 34B of the right arm 34, the device 30 can also have at least one sensor (not shown) on or in any component of the left arm 36. In a further alternative, each arm 34, 36 can have two or more sensors. In yet another implementation, the arms 34, 36 can each have multiple sensors such that the sensors detect and collect redundant data. The redundant data can then be filtered using known methods such as, but not limited to, Kalman filtering, to provide a more robust calculation of the forces being applied by the surgical device 30 to the tissue of the patient.
In one embodiment, the force sensor (such as force sensors 22 or 40) are force/torque sensors. According to another implementation, the force sensor is any sensor that can directly or indirectly measure the force at any point on the surgical device. Alternatively, any force sensor disclosed or contemplated herein can be any known sensor that can provide six degrees of force measurement. In another embodiment, the force sensor can be any known sensor that provides at least one dimension of force sensing. In a further alternative, the force sensor (including either of force sensors 22 or 40) can be a collection, group, arrangement, or set of two or more sensors that can provide six degrees of force measurement. In yet another alternative, the force information can be gathered by measuring the amount of torque at one or more of the joints of the arm of the device. For example, in one embodiment, the amount of torque can be measured at both the shoulder joint (between the shoulder 38 and the upper arm 34A) and the elbow joint (between the upper arm 34A and the forearm 34B) and that information can be used to calculate the amount of force being applied by the arm 34. In one implementation, the amount of torque is measured using any known torque sensor. Alternatively, the torque can be measured by measuring the motor current or be measuring the windup in the joint (or joints) by comparing absolute position sensor data to incremental position data. In a further alternative, the amount of joint torque can be measured using any other known method for measuring torque.
It is understood that any of the sensors disclosed or contemplated herein can be commercially available sensors or custom sensors. In accordance with one implementation, the force sensor is a known force/torque sensor called Nano17™, which is commercially available from ATI Industrial Automation, located in Apex, NC Alternatively, the sensor is a known reaction torque sensor called TFF400™, which is commercially available from Futek Advanced Sensor Technology, Inc., located in Irvine, CA.
The force data collected by the force sensor(s) (or torque data collected by the torque sensor(s)) can be transmitted to a processor present in the robotic device (such as device 10 or 30) or in the external controller (not shown) and used to calculate the force being applied at the endpoint of the arm (or torque at the joint(s)). This will be described in further detail below. Known information relating to the dimensions of the robotic components and the kinematic arrangement of those components (such as the arm components) is incorporated into the calculation to determine the force at the endpoint (or torque at the joint(s)). Given that the calculation utilizes the dimensions of the components, the sensor(s) can be positioned anywhere along the robotic arm or even in the device body (as in
As best shown in
In one implementation, the base link 64 is physically separate from and not rigidly coupled to the motor housing 54. This separation of the two components allows forces applied to the grasper 62 to be transferred through the front plate 56 and into the sensor 52 and reduces the diffusion of such forces. According to certain embodiments, the base link 64 is a cantilevered link 64 that allows the sensor 52 to measure the force applied on the arm 50, and in some cases, the distal endpoint of the end effector 62. Alternatively, the link 64 need not be a cantilevered link 64, but instead can have one or more components that apply a known amount of force thereon. Regardless, the base link 64 allows the sensor 52 to accurately measure the force of interest.
As best shown in
The motor 58 is a rotational motor 58 that is rotationally fixed to motor gear 78, which is threadably coupled to driven gear 80, which is supported by two bearings 82A, 82B. In one embodiment, the bearings 82A, 82B are constrained by the motor housing 54. The driven gear 80 is rotationally fixed to the grasper yoke 76, which is rotationally fixed to the grasper arms 62A, 62B such that rotation of the rotational motor 58 causes rotation of the grasper tool 62.
In one embodiment, the motors 58, 60 are both 6 mm motors. Alternatively, the motors 58, 60 are known brushed or brushless motors. The motors 58, 60 can be any motors ranging in size from about 2 mm to about 15 mm in diameter, so long as the motors 58, 60 provide sufficient force and speed profiles to achieve desired results. In accordance with one implementation, the motors 58, 60 are coreless brushed motors called 0615 (6 mm) or 0816 (8 mm), which are commercially available from Micromo, located in Clearwater, Florida. Alternatively, the motors 58, 60 are brushless motors called EC 6 mm and EC 10 mm, which are commercially available from Maxon Motor, located in Fall River, Massachusetts. In a further alternative, the motors 58, 60 can be any known motors used in medical devices.
As mentioned above, in use, any force sensor disclosed or contemplated herein (including, for example, any one or more of the force sensors 22, 40, 52 discussed and depicted above, or one or more torque sensors as also discussed above) is configured to detect and collect the amount of force (or torque) applied by the arm or arms of a surgical device.
As mentioned above, the information collected by the one or more sensors can then be outputted to a processor of some kind, such as a microprocessor in an external controller in communication with the surgical device. In one implementation, the data output occurs via an electronics package 80 as shown schematically in
The conditioning unit 84 is configured to provide more robust or easier-to-detect signals. According to one embodiment, the conditioning unit 84 can be figured to filter, shift, amplify, or provide any other conditioning procedure to signals. The signal converting unit 86 is configured to convert analog signals to digital signals so that they can be used in a digital processor or computer. According to one embodiment, the signal converting unit 86 is an analog-to-digital converter (“ADC”). The transmission unit 88 is configured to transmit the signals from the electronics package 80 to the computer 90.
In one implementation, if the output signals from the sensor 82 are digital signals, they can be transmitted or outputted to the conditioning unit 84 (where they are amplified or otherwise conditioned) and then transmitted directly to the transmission unit 88, which transmits the signals to the computer 90. Alternatively, in those embodiments in which the output signals are analog, the signals can be conditioned via the conditioning unit 84 and also converted into digital signals via the signal converting unit 86 before being transmitted by the transmission unit 88 to the computer 90.
For purposes of this application, it is understood that the term “computer” is intended to mean any device that can be programmed to carry out arithmetic or logical operations. As such, “computer” encompasses any microprocessor, digital signal processor, or any other computer platform. This obviously would include any microprocessor, processor, or other type of computer incorporated into any external controller or user interface that is operably coupled to the surgical device.
According to one embodiment, the electronics package 80 is positioned on or in the surgical device (such as either of devices 10 or 30 as discussed above) and the computer 90 is positioned at a location that is external to the surgical device and the patient. Alternatively, both the electronics package 80 and the computer 90 are positioned on or in the robot. In yet another alternative, both the electronics package 80 and the computer 90 are positioned at some location external to the surgical device.
The computer 90 is configured to utilize the data for many end-user applications, including, for example, haptics, data collection for surgeon performance analytics, or for training purposes where the data is recorded and played back to trainees. In certain embodiments, the computer 90 uses the data to calculate the amount of force applied at the endpoint of one of the arms on the surgical device. Alternatively, the computer 90 can calculate the amount of force at any point on either of the arms.
In a further embodiment, the data can also be used for implementing methods of controlling the surgical device. That is, the information relating to the amount of force being applied by an arm of a device can be used to control that arm. In one example, if the arm contacts a cavity wall or an organ in the cavity, the force sensor 82 will sense the force applied to the arm as a result of this contact and the computer 90 can utilize that information to actuate the arm to perform some action to remedy the problem. For example, the computer 90 can actuate the arm to stop moving, shut down, reposition itself away from the point of contract, or take any other action to correct the problem. Various control methods that can be used by the computer 90 include force control, hybrid (force and position) control, admittance control, impedance control, or any combination of these or other known methods. In some embodiments, these methods can be used in conjunction with any combination of the existing position, velocity, acceleration, or current (torque control) control methods.
According to another implementation, the computer 90 can be configured to transmit the data to one or more other computers that can utilize the data for any of the applications described above or other applications.
Other embodiments of a surgical system relate to external controller embodiments having one or more force sensors (or other related types of sensors, such as torque sensors) that can be used to control a surgical device.
As best shown in
Continuing with
In this embodiment, the grasper 110 has a pinch mechanism 116 made up of two finger loops 116A, 116B. In one implementation, the grasper 110 has a configuration that is substantially similar to the grasper used in the Da Vinci® system.
The controller 100 in this implementation also has motors that operate to provide haptic feedback. More specifically, the shoulder joint 106 has at least one motor positioned within the joint 106 (or otherwise operably coupled thereto). In one example, the motor 111 is coupled to or positioned within the joint 106 and operably coupled to the joint 106 such that the motor 111 can actuate the movement of the rotating yaw joint 106A. In another example, the motor 113 is coupled to the joint 106 and operably coupled thereto such that the motor 113 can actuate the movement of the rotating pitch joint 106B. Similarly, the elbow joint 108 also has at least one motor positioned within the joint 108 (or otherwise operably coupled thereto). In one example, the motor 109 is coupled to the joint 108 as shown. Alternatively, the motor 107 is disposed within the forearm 102B and operably coupled to the joint 108. Further, the wrist joint 112 can also have one or more motors operably coupled to one or more of the wrist joints 112A, 112B, 112C. For example, a motor 105 can be disposed within the forearm 102B that is operably coupled to the wrist link 112D such that the motor 105 can actuate the movement of the wrist link 112D. Alternatively, a motor 103 can be operably coupled to the wrist joint 112B to actuate the movement of the wrist link 112E. In a further alternative, a motor 101 can be operably coupled to the wrist joint 112C to actuate the movement of the grasper 110. In operation, it is understood that the motors are used to provide haptic feedback to the user or surgeon during a procedure. That is, the one or more force sensors (or torque sensors), such as any of the sensors discussed above, operably coupled to the surgical device sense force applied to at least one arm of the device (or torque at one or more joints) and that information is transmitted back to a processor as discussed above. The processor can use that information to calculate the force or torque being applied and transmit instructions based on that information to the motors in the controller 100 to actuate those motors to generate similar force or torque in the controller 100 that can be felt by the user or surgeon at the grasper 110, thereby giving the user or surgeon feedback in the form of force (resistance) similar to the feedback the surgeon or user would receive if she or he was holding the actual surgical device component experiencing the force.
In one embodiment, the motors in the controller 100 are known brushed or brushless motors. The motors can be any motors ranging in size from about 4 mm to about 30 mm in diameter, so long as the motors provide sufficient force and speed profiles to achieve desired results. In accordance with one implementation, the motors are any motors within that size range that are commercially available from Micromo, located in Clearwater, Florida or from Maxon Motor, located in Fall River, Massachusetts. In a further alternative, the motors can be any known motors of appropriate size used in medical devices or related controller components.
According to one implementation as best shown in
In operation, it is understood that the one or more force sensors on the controller 100 are configured to sense force applied to the controller 100 by the user or surgeon, and that information is transmitted back to a processor as discussed above. The processor can use that information to calculate the force or torque being applied at the controller 100 and take that information into account for purposes of creating appropriate haptic feedback to the user at the controller 100 using the one or more motors described above that are operably coupled to the controller 100, thereby helping to ensure that the appropriate amount of force is being applied to the user's hand during use of the controller 100.
It is understood that the one or more sensors used with a controller (such as the controller 10) can be any of the force or torque sensors discussed above in relation to the surgical device embodiments. It is further understood that one or more sensors can be operably coupled in a similar fashion in similar configurations with any known controller having any known configuration that is capable of at least one directional force.
In use, the surgeon manipulates the controller 132 to control the surgical device 142. As a result of that manipulation, the controller 132 transmit information to the control system 144 in the surgical device 142. In one embodiment, the information transmitted by the controller 132 constitutes measurements relating to the physical position of the arm (or arms) of the controller 132. The information is used by the control system 144 to actuate the arm (or arms) of the surgical device 142 to move as desired by the surgeon 162. The force sensor 146 operates as discussed above with respect to sensors 22, 40, 52 by sensing the force applied to the device 142. In this implementation, the sensor 146 outputs that information to a haptic control process or application 158 running on a processor or computer 148 (which can be the same as the computer 90 discussed above or a similar processor, microprocessor, or computer) to determine the desired haptic forces (the amount of feedback force desired to be provided to the surgeon 162) via known methods such as, for example, proportional or exponential force feedback, impedance control, admittance control, or hybrid control.
According to one embodiment, the workspace limitations of the surgical device 142 can also be taken into account in this system 130. That is, the workspace limitation information can be saved in the device control system 144 (and provided to the haptic control algorithms 158) or it can be stored in the processor 148. In one embodiment, the information is modeled as an inward force that simulates a wall. Regardless, the information is used to transmit information to the controller that actuates one or more of the actuators 136, 138, 140 to generate forces at the controller 132 that help to prevent the surgeon 162 from exceeding the workspace of the surgical device 142. In one embodiment, the information actuates the actuator(s) 136, 138, 140 to provide direct force or vibration at the controller 132. Alternatively, the system can provide visual cues to the surgeon 162.
In one implementation, the computer 148 can also be configured to compensate for the outside forces in the system caused by gravity, friction, and inertia. That is, the force sensor 134 associated with the controller 132 detects and collects information about all forces being applied to the controller 132, not just the forces applied by the surgeon 162. This force information is provided to the computer 148 in one lump sum that includes all such forces. In this embodiment, the system 130 can take one or more of the outside forces into account and compensate for or “cancel out” those outside forces.
For example, one implementation of the system 130 allows for compensation for gravity. That is, the processor 148 can use structural and positional information about the controller 132 to calculate the effect of gravity on the controller 132 and effectively “subtract” that amount of force or otherwise “cancel out” that amount of force from the force detected by the sensor 134. As a result, in an ideal embodiment of the system 130, when the surgeon removes her hands from the controller 132, the controller 132 should not fall but instead should appear weightless as a result of the compensation for gravity.
Another implementation allows for dynamic compensation. That is, the processor 148 can use structural and positional information about the controller 132 to calculate the effect of inertia and other dynamic forces on the controller 132 during use and effectively “subtract” or otherwise “cancel out” that amount of force from the force detected by the sensor 134. As a result, rapid movements by the surgeon 162 would not create reaction forces provided as haptic feedback to the surgeon 162 and the effect would be that the mass of the controller 132 would not impose any forces on the system 130.
In a further embodiment, the system 130 can allow for friction compensation. That is, the processor 148 can use one or more force sensors in the controller 132 to detect any unexpected forces experienced by the controller 132 when force is applied to the handles of the controller 132 by the surgeon 162. Those unexpected forces can then be effectively “subtracted” from the force detected by the sensor 134. The result is a frictionless system that exhibits little resistance to movement.
In one embodiment, the system 130 can have only one form of compensation, such as, for example, gravity compensation. Alternatively, the system 130 can have two forms of compensation. In a further alternative, the system 130 can compensate for all three types of external forces: gravity, dynamic forces, and friction.
Once the computer has added up the total amount of the outside/unwanted forces to be compensated for, that amount is subtracted from the total amount of force information provided by the force sensor 134. The result of the calculation is the “error” between the amount of force actually applied to the controller 132 by the surgeon 162 and the amount of force that was desired. Information about this “error” amount is provided to a haptic control system or application 160 that actuates one or more of the actuators (the motor drivers 136, the motor brakes 138, and/or the other actuators) in the controller 132 to add or subtract that amount of force needed based on the error, thereby providing the haptic feedback to the surgeon 162. Hence, the haptic control system 160 determines the appropriate amount of haptic forces to generate in the controller 132.
Another force-sensing grasper 180 embodiment is depicted in
In this specific embodiment as shown, as mentioned above, the end effector 180 is a grasper end effector 180 having a grasper tool 182. The actuation system provided for this grasper end effector 180 in the embodiment as shown is merely an exemplary, known system and constitutes only one of many types and configurations of actuation systems that can be used for actuating a grasper tool 182, including the various systems discussed in the embodiments above. As shown, the grasper end effector 180 is configured to have two degrees of freedom. That is, the grasper tool 182 rotates about its long axis and moves between an open configuration and a closed configuration. To achieve movement of the grasper tool 182 between the open and closed configurations, the grasper end effector 180 has a shaft 184 that contains a threaded inner push/pull rod (not shown) that is coupled to the actuator or motor 186 (shown in
In one embodiment, the force-sensing grasper 180 operates to sense the amount of force being applied by the grasper tool 182 by measuring the amount of axial force being transmitted through the push/pull rod (not shown) in the shaft 184. More specifically, the device has a sensor 192 that is positioned such that it can measure the force generated through the coupling of the gears 188 and the push/pull rod (not shown) coupled to the shaft 184. That is, the sensor 192 is positioned in
Although the present invention has been described with reference to preferred embodiments, persons skilled in the art will recognize that changes may be made in form and detail without departing from the spirit and scope of the invention.
This application claims priority as a continuation of U.S. application Ser. No. 15/894,489, filed Feb. 12, 2018 and entitled “Methods, Systems, and Devices Relating to Force Control Surgical Systems;” which claims priority as a continuation of U.S. application Ser. No. 14/210,934, filed Mar. 14, 2014 and entitled “Methods, Systems, and Devices Relating to Force Control Surgical Systems” which Issued on Feb. 13, 2018 as U.S. Pat. No. 9,888,966, which claims priority to U.S. Provisional Application 61/781,594, filed on Mar. 14, 2013 and entitled “Methods, Systems, and Devices Relating to Force Control Surgical Systems,” which is hereby incorporated herein by reference in its entirety.
This invention was made with government support under Grant No. DGE1041000, awarded by the National Science Foundation; Grant No. NNX09AO71A, awarded by the National Aeronautics and Space Administration; Grant No. NNX10AJ26G, awarded by the National Aeronautics and Space Administration; and Grant No. W81XWH-09-2-0185, awarded by the U.S. Army Medical Research and Materiel Command. The government has certain rights in the invention.
Number | Name | Date | Kind |
---|---|---|---|
2858947 | Chapman, Jr. | Nov 1958 | A |
3817403 | Glachet et al. | Jun 1974 | A |
3870264 | Robinson | Mar 1975 | A |
3922930 | Fletcher et al. | Dec 1975 | A |
3971266 | Inakura et al. | Jul 1976 | A |
3989952 | Timberlake et al. | Nov 1976 | A |
4246661 | Pinson | Jan 1981 | A |
4258716 | Sutherland | Mar 1981 | A |
4278077 | Mizumoto | Jul 1981 | A |
4353677 | Susnjara et al. | Oct 1982 | A |
4538594 | Boebel et al. | Sep 1985 | A |
4568311 | Miyaki | Feb 1986 | A |
4623183 | Aomori | Nov 1986 | A |
4636138 | Gorman | Jan 1987 | A |
4645409 | Gorman | Feb 1987 | A |
4684313 | Minematsu et al. | Aug 1987 | A |
4736645 | Zimmer | Apr 1988 | A |
4762455 | Coughlan et al. | Aug 1988 | A |
4771652 | Zimmer | Sep 1988 | A |
4852391 | Ruch et al. | Aug 1989 | A |
4854808 | Bisiach | Aug 1989 | A |
4896015 | Taboada et al. | Jan 1990 | A |
4897014 | Tietze | Jan 1990 | A |
4922755 | Oshiro et al. | May 1990 | A |
4922782 | Kawai | May 1990 | A |
4984959 | Kato | Jan 1991 | A |
4990050 | Tsuge et al. | Feb 1991 | A |
5019968 | Wang et al. | May 1991 | A |
5036724 | Rosheim | Aug 1991 | A |
5108140 | Bartholet | Apr 1992 | A |
5172639 | Wiesman et al. | Dec 1992 | A |
5176649 | Wakabayashi | Jan 1993 | A |
5178032 | Zona et al. | Jan 1993 | A |
5187032 | Sasaki et al. | Feb 1993 | A |
5187796 | Wang et al. | Feb 1993 | A |
5195388 | Zona et al. | Mar 1993 | A |
5201325 | McEwen et al. | Apr 1993 | A |
5217003 | Wilk | Jun 1993 | A |
5263382 | Brooks et al. | Nov 1993 | A |
5271384 | McEwen et al. | Dec 1993 | A |
5284096 | Pelrine et al. | Feb 1994 | A |
5297443 | Wentz | Mar 1994 | A |
5297536 | Wilk | Mar 1994 | A |
5304899 | Sasaki et al. | Apr 1994 | A |
5305653 | Ohtani et al. | Apr 1994 | A |
5307447 | Asano et al. | Apr 1994 | A |
5353807 | DeMarco | Oct 1994 | A |
5363935 | Schempf et al. | Nov 1994 | A |
5372147 | Lathrop, Jr. et al. | Dec 1994 | A |
5382885 | Salcudean et al. | Jan 1995 | A |
5441494 | Oritz | Jan 1995 | A |
5388528 | Pelrine et al. | Feb 1995 | A |
5397323 | Taylor et al. | Mar 1995 | A |
5436542 | Petelin et al. | Jul 1995 | A |
5456673 | Ziegler et al. | Oct 1995 | A |
5458131 | Wilk | Oct 1995 | A |
5458583 | McNeely et al. | Oct 1995 | A |
5458598 | Feinberg et al. | Oct 1995 | A |
5471515 | Fossum et al. | Nov 1995 | A |
5515478 | Wang | May 1996 | A |
5524180 | Wang et al. | Jun 1996 | A |
5553198 | Wang et al. | Sep 1996 | A |
5562448 | Mushabac | Oct 1996 | A |
5588442 | Scovil et al. | Dec 1996 | A |
5620417 | Jang et al. | Apr 1997 | A |
5623582 | Rosenberg | Apr 1997 | A |
5624380 | Takayama et al. | Apr 1997 | A |
5624398 | Smith et al. | Apr 1997 | A |
5632761 | Smith et al. | May 1997 | A |
5645520 | Nakamura et al. | Jul 1997 | A |
5657429 | Wang et al. | Aug 1997 | A |
5657584 | Hamlin | Aug 1997 | A |
5667354 | Nakazawa | Sep 1997 | A |
5672168 | de la Torre et al. | Sep 1997 | A |
5674030 | Sigel | Oct 1997 | A |
5728599 | Rosteker et al. | Mar 1998 | A |
5736821 | Suyama et al. | Apr 1998 | A |
5754741 | Wang et al. | May 1998 | A |
5762458 | Wang et al. | Jun 1998 | A |
5769640 | Jacobus et al. | Jun 1998 | A |
5791231 | Cohn et al. | Aug 1998 | A |
5792135 | Madhani et al. | Aug 1998 | A |
5797538 | Heaton et al. | Aug 1998 | A |
5797900 | Madhani et al. | Aug 1998 | A |
5807377 | Madhani et al. | Sep 1998 | A |
5808665 | Green | Sep 1998 | A |
5815640 | Wang et al. | Sep 1998 | A |
5825982 | Wright et al. | Oct 1998 | A |
5833656 | Smith et al. | Nov 1998 | A |
5841950 | Wang et al. | Nov 1998 | A |
5845646 | Lemelson | Dec 1998 | A |
5855583 | Wang et al. | Jan 1999 | A |
5876325 | Mizuno et al. | Mar 1999 | A |
5878193 | Wang et al. | Mar 1999 | A |
5878783 | Smart | Mar 1999 | A |
5895377 | Smith et al. | Apr 1999 | A |
5895417 | Pomeranz et al. | Apr 1999 | A |
5906591 | Dario et al. | May 1999 | A |
5907664 | Wang et al. | May 1999 | A |
5910129 | Koblish et al. | Jun 1999 | A |
5911036 | Wright et al. | Jun 1999 | A |
5954692 | Smith et al. | Sep 1999 | A |
5971976 | Wang et al. | Oct 1999 | A |
5993467 | Yoon | Nov 1999 | A |
6001108 | Wang et al. | Dec 1999 | A |
6007550 | Wang et al. | Dec 1999 | A |
6030365 | Laufer | Feb 2000 | A |
6031371 | Smart | Feb 2000 | A |
6058323 | Lemelson | May 2000 | A |
6063095 | Wang et al. | May 2000 | A |
6066090 | Yoon | May 2000 | A |
6086529 | Arndt | Jul 2000 | A |
6102850 | Wang et al. | Aug 2000 | A |
6106521 | Blewett et al. | Aug 2000 | A |
6107795 | Smart | Aug 2000 | A |
6132368 | Cooper | Oct 2000 | A |
6132441 | Grace | Oct 2000 | A |
6139563 | Cosgrove, III et al. | Oct 2000 | A |
6156006 | Brosens et al. | Dec 2000 | A |
6159146 | El Gazayerli | Dec 2000 | A |
6162171 | Ng et al. | Dec 2000 | A |
D438617 | Cooper et al. | Mar 2001 | S |
6206903 | Ramans | Mar 2001 | B1 |
D441076 | Cooper et al. | Apr 2001 | S |
6223100 | Green | Apr 2001 | B1 |
D441862 | Cooper et al. | May 2001 | S |
6238415 | Sepetka et al. | May 2001 | B1 |
6240312 | Alfano et al. | May 2001 | B1 |
6241730 | Alby | Jun 2001 | B1 |
6244809 | Wang et al. | Jun 2001 | B1 |
6246200 | Blumenkranz et al. | Jun 2001 | B1 |
D444555 | Cooper et al. | Jul 2001 | S |
6286514 | Lemelson | Sep 2001 | B1 |
6292678 | Hall et al. | Sep 2001 | B1 |
6293282 | Lemelson | Sep 2001 | B1 |
6296635 | Smith et al. | Oct 2001 | B1 |
6309397 | Julian et al. | Oct 2001 | B1 |
6309403 | Minor et al. | Oct 2001 | B1 |
6312435 | Wallace et al. | Nov 2001 | B1 |
6321106 | Lemelson | Nov 2001 | B1 |
6327492 | Lemelson | Dec 2001 | B1 |
6331181 | Tiemey et al. | Dec 2001 | B1 |
6346072 | Cooper | Feb 2002 | B1 |
6352503 | Matsui et al. | Mar 2002 | B1 |
6364888 | Niemeyer et al. | Apr 2002 | B1 |
6371952 | Madhani et al. | Apr 2002 | B1 |
6394998 | Wallace et al. | May 2002 | B1 |
6398726 | Ramans et al. | Jun 2002 | B1 |
6400980 | Lemelson | Jun 2002 | B1 |
6408224 | Lemelson | Jun 2002 | B1 |
6424885 | Niemeyer et al. | Jul 2002 | B1 |
6432112 | Brock et al. | Aug 2002 | B2 |
6436107 | Wang et al. | Aug 2002 | B1 |
6441577 | Blumenkranz et al. | Aug 2002 | B2 |
6450104 | Grant et al. | Sep 2002 | B1 |
6450992 | Cassidy | Sep 2002 | B1 |
6451027 | Cooper et al. | Sep 2002 | B1 |
6454758 | Thompson et al. | Sep 2002 | B1 |
6459926 | Nowlin et al. | Oct 2002 | B1 |
6463361 | Wang et al. | Oct 2002 | B1 |
6468203 | Belson | Oct 2002 | B2 |
6468265 | Evans et al. | Oct 2002 | B1 |
6470236 | Ohtsuki | Oct 2002 | B2 |
6491691 | Morley et al. | Dec 2002 | B1 |
6491701 | Nemeyer et al. | Dec 2002 | B2 |
6493608 | Niemeyer et al. | Dec 2002 | B1 |
6496099 | Wang et al. | Dec 2002 | B2 |
6497651 | Kan et al. | Dec 2002 | B1 |
6508413 | Bauer et al. | Jan 2003 | B2 |
6512345 | Borenstein | Jan 2003 | B2 |
6522906 | Salisbury, Jr. et al. | Feb 2003 | B1 |
6544276 | Azizi | Apr 2003 | B1 |
6548982 | Papanikolopoulos et al. | Apr 2003 | B1 |
6554790 | Moll | Apr 2003 | B1 |
6565554 | Niemeyer | May 2003 | B1 |
6574355 | Green | Jun 2003 | B2 |
6587750 | Gerbi et al. | Jul 2003 | B2 |
6591239 | McCall et al. | Jul 2003 | B1 |
6594552 | Nowlin et al. | Jul 2003 | B1 |
6610007 | Belson et al. | Aug 2003 | B2 |
6620173 | Gerbi et al. | Sep 2003 | B2 |
6642836 | Wang et al. | Nov 2003 | B1 |
6645196 | Nixon et al. | Nov 2003 | B1 |
6646541 | Wang et al. | Nov 2003 | B1 |
6648814 | Kim et al. | Nov 2003 | B2 |
6659939 | Moll et al. | Dec 2003 | B2 |
6661571 | Shioda et al. | Dec 2003 | B1 |
6671581 | Niemeyer et al. | Dec 2003 | B2 |
6676684 | Morley et al. | Jan 2004 | B1 |
6684129 | Salisbury, Jr. et al. | Jan 2004 | B2 |
6685648 | Flaherty et al. | Feb 2004 | B2 |
6685698 | Morley et al. | Feb 2004 | B2 |
6687571 | Byme et al. | Feb 2004 | B1 |
6692485 | Brock et al. | Feb 2004 | B1 |
6699177 | Wang et al. | Mar 2004 | B1 |
6699235 | Wallace et al. | Mar 2004 | B2 |
6702734 | Kim et al. | Mar 2004 | B2 |
6702805 | Stuart | Mar 2004 | B1 |
6714839 | Salisbury, Jr. et al. | Mar 2004 | B2 |
6714841 | Wright et al. | Mar 2004 | B1 |
6719684 | Kim et al. | Apr 2004 | B2 |
6720988 | Gere et al. | Apr 2004 | B1 |
6726699 | Wright et al. | Apr 2004 | B1 |
6728599 | Wright et al. | Apr 2004 | B2 |
6730021 | Vassiliades, Jr. et al. | May 2004 | B2 |
6731988 | Green | May 2004 | B1 |
6746443 | Morley et al. | Jun 2004 | B1 |
6764441 | Chiel et al. | Jul 2004 | B2 |
6764445 | Ramans et al. | Jul 2004 | B2 |
6766204 | Niemeyer et al. | Jul 2004 | B2 |
6770081 | Cooper et al. | Aug 2004 | B1 |
6774597 | Borenstein | Aug 2004 | B1 |
6776165 | Jin | Aug 2004 | B2 |
6780184 | Tanrisever | Aug 2004 | B2 |
6783524 | Anderson et al. | Aug 2004 | B2 |
6785593 | Wang et al. | Aug 2004 | B2 |
6788018 | Blumenkranz | Sep 2004 | B1 |
6792663 | Krzyzanowski | Sep 2004 | B2 |
6793653 | Sanchez et al. | Sep 2004 | B2 |
6799065 | Niemeyer | Sep 2004 | B1 |
6799088 | Wang et al. | Sep 2004 | B2 |
6801325 | Farr et al. | Oct 2004 | B2 |
6804581 | Wang et al. | Oct 2004 | B2 |
6810281 | Brock et al. | Oct 2004 | B2 |
6817972 | Snow | Nov 2004 | B2 |
6817974 | Cooper et al. | Nov 2004 | B2 |
6817975 | Farr et al. | Nov 2004 | B1 |
6820653 | Schempf et al. | Nov 2004 | B1 |
6824508 | Kim et al. | Nov 2004 | B2 |
6824510 | Kim et al. | Nov 2004 | B2 |
6826977 | Grover et al. | Dec 2004 | B2 |
6832988 | Sprout | Dec 2004 | B2 |
6832996 | Woloszko et al. | Dec 2004 | B2 |
6836703 | Wang et al. | Dec 2004 | B2 |
6837846 | Jaffe et al. | Jan 2005 | B2 |
6837883 | Moll et al. | Jan 2005 | B2 |
6839612 | Sanchez et al. | Jan 2005 | B2 |
6840938 | Morley et al. | Jan 2005 | B1 |
6843793 | Brock et al. | Jan 2005 | B2 |
6852107 | Wang et al. | Feb 2005 | B2 |
6853879 | Sunaoshi | Feb 2005 | B2 |
6858003 | Evans et al. | Feb 2005 | B2 |
6860346 | Burt et al. | Mar 2005 | B2 |
6860877 | Sanchez et al. | Mar 2005 | B1 |
6866671 | Tiemey et al. | Mar 2005 | B2 |
6870343 | Borenstein et al. | Mar 2005 | B2 |
6871117 | Wang et al. | Mar 2005 | B2 |
6871563 | Choset et al. | Mar 2005 | B2 |
6879880 | Nowlin et al. | Apr 2005 | B2 |
6892112 | Wang et al. | May 2005 | B2 |
6899705 | Niemeyer | May 2005 | B2 |
6902560 | Morley et al. | Jun 2005 | B1 |
6905460 | Wang et al. | Jun 2005 | B2 |
6905491 | Wang et al. | Jun 2005 | B1 |
6911916 | Wang et al. | Jun 2005 | B1 |
6917176 | Schempf et al. | Jul 2005 | B2 |
6933695 | Blumenkranz | Aug 2005 | B2 |
6936001 | Snow | Aug 2005 | B1 |
6936003 | Iddan | Aug 2005 | B2 |
6936042 | Wallace et al. | Aug 2005 | B2 |
6943663 | Wang et al. | Sep 2005 | B2 |
6949096 | Davison et al. | Sep 2005 | B2 |
6951535 | Ghodoussi et al. | Oct 2005 | B2 |
6963792 | Green | Nov 2005 | B1 |
6965812 | Wang et al. | Nov 2005 | B2 |
6974411 | Belson | Dec 2005 | B2 |
6974449 | Niemeyer | Dec 2005 | B2 |
6979423 | Moll | Dec 2005 | B2 |
6984203 | Tartaglia et al. | Jan 2006 | B2 |
6984205 | Gazdzinski | Jan 2006 | B2 |
6991627 | Madhani et al. | Jan 2006 | B2 |
6993413 | Sunaoshi | Jan 2006 | B2 |
6994703 | Wang et al. | Feb 2006 | B2 |
6994708 | Manzo | Feb 2006 | B2 |
6997908 | Carrillo, Jr. et al. | Feb 2006 | B2 |
6999852 | Green | Feb 2006 | B2 |
7025064 | Wang et al. | Apr 2006 | B2 |
7027892 | Wang et al. | Apr 2006 | B2 |
7033344 | Imran | Apr 2006 | B2 |
7039453 | Mullick | May 2006 | B2 |
7042184 | Oleynikov et al. | May 2006 | B2 |
7048745 | Tierney et al. | May 2006 | B2 |
7053752 | Wang et al. | May 2006 | B2 |
7063682 | Whayne et al. | Jun 2006 | B1 |
7066879 | Fowler et al. | Jun 2006 | B2 |
7066926 | Wallace et al. | Jun 2006 | B2 |
7074179 | Wang et al. | Jul 2006 | B2 |
7077446 | Kameda et al. | Jul 2006 | B2 |
7083571 | Wang et al. | Aug 2006 | B2 |
7083615 | Peterson et al. | Aug 2006 | B2 |
7087049 | Nowlin et al. | Aug 2006 | B2 |
7090683 | Brock et al. | Aug 2006 | B2 |
7097640 | Wang et al. | Aug 2006 | B2 |
7105000 | McBrayer | Sep 2006 | B2 |
7107090 | Salisbury, Jr. et al. | Sep 2006 | B2 |
7109678 | Kraus et al. | Sep 2006 | B2 |
7118582 | Wang et al. | Oct 2006 | B1 |
7121781 | Sanchez et al. | Oct 2006 | B2 |
7125403 | Julian et al. | Oct 2006 | B2 |
7126303 | Farritor et al. | Oct 2006 | B2 |
7147650 | Lee | Dec 2006 | B2 |
7155315 | Niemeyer et al. | Dec 2006 | B2 |
7155316 | Sutherland et al. | Dec 2006 | B2 |
7163525 | Franer | Jan 2007 | B2 |
7169141 | Brock et al. | Jan 2007 | B2 |
7182025 | Ghorbel et al. | Feb 2007 | B2 |
7182089 | Ries | Feb 2007 | B2 |
7199545 | Oleynikov et al. | Apr 2007 | B2 |
7206626 | Quaid, III | Apr 2007 | B2 |
7206627 | Abovitz et al. | Apr 2007 | B2 |
7210364 | Ghorbel et al. | May 2007 | B2 |
7214230 | Brock et al. | May 2007 | B2 |
7217240 | Snow | May 2007 | B2 |
7239940 | Wang et al. | Jul 2007 | B2 |
7250028 | Julian et al. | Jul 2007 | B2 |
7259652 | Wang et al. | Aug 2007 | B2 |
7273488 | Nakamura et al. | Sep 2007 | B2 |
7311107 | Harel et al. | Dec 2007 | B2 |
7339341 | Oleynikov et al. | Mar 2008 | B2 |
7372229 | Farritor et al. | May 2008 | B2 |
7403836 | Aoyama | Jul 2008 | B2 |
7438702 | Hart et al. | Oct 2008 | B2 |
7447537 | Funda et al. | Nov 2008 | B1 |
7492116 | Oleynikov et al. | Feb 2009 | B2 |
7566300 | Devierre et al. | Jul 2009 | B2 |
7574250 | Niemeyer | Aug 2009 | B2 |
7637905 | Saadat et al. | Dec 2009 | B2 |
7645230 | Mikkaichi et al. | Jan 2010 | B2 |
7655004 | Long | Feb 2010 | B2 |
7670329 | Flaherty et al. | Mar 2010 | B2 |
7678043 | Gilad | Mar 2010 | B2 |
7731727 | Sauer | Jun 2010 | B2 |
7734375 | Buehler et al. | Jun 2010 | B2 |
7762825 | Burbank et al. | Jul 2010 | B2 |
7772796 | Farritor et al. | Aug 2010 | B2 |
7785251 | Wilk | Aug 2010 | B2 |
7785294 | Hueil et al. | Aug 2010 | B2 |
7785333 | Miyamoto et al. | Aug 2010 | B2 |
7789825 | Nobis et al. | Sep 2010 | B2 |
7789861 | Franer | Sep 2010 | B2 |
7794494 | Sahatjian et al. | Sep 2010 | B2 |
7865266 | Moll et al. | Jan 2011 | B2 |
7960935 | Farritor et al. | Jun 2011 | B2 |
7979157 | Anvari | Jul 2011 | B2 |
8021358 | Doyle et al. | Sep 2011 | B2 |
8179073 | Farritor et al. | May 2012 | B2 |
8231610 | Jo et al. | Jul 2012 | B2 |
8343171 | Farritor et al. | Jan 2013 | B2 |
8353897 | Doyle et al. | Jan 2013 | B2 |
8377045 | Schena | Feb 2013 | B2 |
8430851 | Mcginley et al. | Apr 2013 | B2 |
8604742 | Farritor et al. | Dec 2013 | B2 |
8636686 | Minnelli et al. | Jan 2014 | B2 |
8679096 | Farritor et al. | Mar 2014 | B2 |
8827337 | Murata et al. | Sep 2014 | B2 |
8828024 | Farritor et al. | Sep 2014 | B2 |
8834488 | Farritor et al. | Sep 2014 | B2 |
8864652 | Diolaiti et al. | Oct 2014 | B2 |
8888687 | Ostrovsky et al. | Nov 2014 | B2 |
8986196 | Larkin et al. | Mar 2015 | B2 |
9010214 | Markvicka et al. | Apr 2015 | B2 |
9089256 | Tognaccini et al. | Jul 2015 | B2 |
9089353 | Farritor et al. | Jul 2015 | B2 |
9138129 | Diolaiti | Sep 2015 | B2 |
9198728 | Wang et al. | Dec 2015 | B2 |
9516996 | Diolaiti et al. | Dec 2016 | B2 |
9649020 | Finlay | May 2017 | B2 |
9717563 | Tognaccini et al. | Aug 2017 | B2 |
9743987 | Farritor et al. | Aug 2017 | B2 |
9757187 | Farritor et al. | Sep 2017 | B2 |
9770305 | Farritor et al. | Sep 2017 | B2 |
9789608 | Itkowitz et al. | Oct 2017 | B2 |
9814640 | Khaligh | Nov 2017 | B1 |
9816641 | Bock-Aronson et al. | Nov 2017 | B2 |
9849586 | Rosheim | Dec 2017 | B2 |
9857786 | Cristiano | Jan 2018 | B2 |
9888966 | Farritor et al. | Feb 2018 | B2 |
10008017 | Itkowitz et al. | Jun 2018 | B2 |
10111711 | Farritor et al. | Oct 2018 | B2 |
10137575 | Itkowitz et al. | Nov 2018 | B2 |
10159533 | Moll et al. | Dec 2018 | B2 |
10220522 | Rockrohr | Mar 2019 | B2 |
10258425 | Mustufa et al. | Apr 2019 | B2 |
10307199 | Farritor et al. | Jun 2019 | B2 |
10342561 | Farritor et al. | Jul 2019 | B2 |
10368952 | Tognaccini et al. | Aug 2019 | B2 |
10398516 | Jackson et al. | Sep 2019 | B2 |
10470828 | Markvicka et al. | Nov 2019 | B2 |
10507066 | Dimaio et al. | Dec 2019 | B2 |
10555775 | Hoffman et al. | Feb 2020 | B2 |
10582973 | Wilson et al. | Mar 2020 | B2 |
10695137 | Farritor et al. | Jun 2020 | B2 |
10729503 | Cameron | Aug 2020 | B2 |
10737394 | Itkowitz et al. | Aug 2020 | B2 |
10751136 | Farritor et al. | Aug 2020 | B2 |
10751883 | Nahum | Aug 2020 | B2 |
10806538 | Farritor et al. | Oct 2020 | B2 |
10966700 | Farritor et al. | Apr 2021 | B2 |
11032125 | Farritor et al. | Jun 2021 | B2 |
11298195 | Ye et al. | Apr 2022 | B2 |
11382702 | Tognaccini et al. | Jul 2022 | B2 |
11529201 | Mondry et al. | Dec 2022 | B2 |
11595242 | Farritor et al. | Feb 2023 | B2 |
20010018591 | Brock et al. | Aug 2001 | A1 |
20010049497 | Kalloo et al. | Dec 2001 | A1 |
20020003173 | Bauer et al. | Jan 2002 | A1 |
20020013601 | Nobles et al. | Jan 2002 | A1 |
20020026186 | Woloszko et al. | Feb 2002 | A1 |
20020038077 | de la Torre et al. | Mar 2002 | A1 |
20020065507 | Zando-Azizi | May 2002 | A1 |
20020091374 | Cooper | Jun 2002 | A1 |
20020103417 | Gazdzinski | Aug 2002 | A1 |
20020111535 | Kim et al. | Aug 2002 | A1 |
20020120254 | Julian et al. | Aug 2002 | A1 |
20020128552 | Nowlin et al. | Sep 2002 | A1 |
20020140392 | Borenstein et al. | Oct 2002 | A1 |
20020147487 | Sundquist et al. | Oct 2002 | A1 |
20020151906 | Demarais et al. | Oct 2002 | A1 |
20020156347 | Kim et al. | Oct 2002 | A1 |
20020171385 | Kim et al. | Nov 2002 | A1 |
20020173700 | Kim et al. | Nov 2002 | A1 |
20020190682 | Schempf et al. | Dec 2002 | A1 |
20030020810 | Takizawa et al. | Jan 2003 | A1 |
20030045888 | Brock et al. | Mar 2003 | A1 |
20030065250 | Chiel et al. | Apr 2003 | A1 |
20030089267 | Ghorbel et al. | May 2003 | A1 |
20030092964 | Kim et al. | May 2003 | A1 |
20030097129 | Davison et al. | May 2003 | A1 |
20030100817 | Wang et al. | May 2003 | A1 |
20030109780 | Coste-Maniere et al. | Jun 2003 | A1 |
20030114731 | Cadeddu et al. | Jun 2003 | A1 |
20030135203 | Wang | Jul 2003 | A1 |
20030139742 | Wampler et al. | Jul 2003 | A1 |
20030144656 | Ocel et al. | Jul 2003 | A1 |
20030159535 | Grover et al. | Aug 2003 | A1 |
20030167000 | Mullick | Sep 2003 | A1 |
20030172871 | Scherer | Sep 2003 | A1 |
20030179308 | Zamorano et al. | Sep 2003 | A1 |
20030181788 | Yokoi et al. | Sep 2003 | A1 |
20030225479 | Waled | Dec 2003 | A1 |
20030229268 | Uchiyama et al. | Dec 2003 | A1 |
20030229338 | Irion et al. | Dec 2003 | A1 |
20030230372 | Schmidt | Dec 2003 | A1 |
20040024311 | Quaid | Feb 2004 | A1 |
20040034282 | Quaid | Feb 2004 | A1 |
20040034283 | Quaid | Feb 2004 | A1 |
20040034302 | Abovitz et al. | Feb 2004 | A1 |
20040050394 | Jin | Mar 2004 | A1 |
20040070822 | Shioda et al. | Apr 2004 | A1 |
20040099175 | Perrot et al. | May 2004 | A1 |
20040102772 | Baxter et al. | May 2004 | A1 |
20040106916 | Quaid et al. | Jun 2004 | A1 |
20040111113 | Nakamura et al. | Jun 2004 | A1 |
20040117032 | Roth | Jun 2004 | A1 |
20040138525 | Saadat et al. | Jul 2004 | A1 |
20040138552 | Harel et al. | Jul 2004 | A1 |
20040140786 | Borenstein | Jul 2004 | A1 |
20040153057 | Davison | Aug 2004 | A1 |
20040173116 | Ghorbel et al. | Sep 2004 | A1 |
20040176664 | Iddan | Sep 2004 | A1 |
20040215331 | Chew et al. | Oct 2004 | A1 |
20040225229 | Viola | Nov 2004 | A1 |
20040254680 | Sunaoshi | Dec 2004 | A1 |
20040267326 | Ocel et al. | Dec 2004 | A1 |
20050014994 | Fowler et al. | Jan 2005 | A1 |
20050021069 | Feuer et al. | Jan 2005 | A1 |
20050029978 | Oleynikov et al. | Feb 2005 | A1 |
20050043583 | Killmann et al. | Feb 2005 | A1 |
20050049462 | Kanazawa | Mar 2005 | A1 |
20050054901 | Yoshino | Mar 2005 | A1 |
20050054902 | Konno | Mar 2005 | A1 |
20050064378 | Toly | Mar 2005 | A1 |
20050065400 | Banik et al. | Mar 2005 | A1 |
20050070850 | Albrecht | Mar 2005 | A1 |
20050083460 | Hattori et al. | Apr 2005 | A1 |
20050095650 | Julius et al. | May 2005 | A1 |
20050096502 | Khalili | May 2005 | A1 |
20050143644 | Gilad et al. | Jun 2005 | A1 |
20050154376 | Riviere et al. | Jul 2005 | A1 |
20050165449 | Cadeddu et al. | Jul 2005 | A1 |
20050177026 | Hoeg et al. | Aug 2005 | A1 |
20050234294 | Saadat et al. | Oct 2005 | A1 |
20050234435 | Layer | Oct 2005 | A1 |
20050272977 | Saadat et al. | Dec 2005 | A1 |
20050283137 | Doyle et al. | Dec 2005 | A1 |
20050288555 | Binmoeller | Dec 2005 | A1 |
20050288665 | Woloszko | Dec 2005 | A1 |
20060020272 | Gildenberg | Jan 2006 | A1 |
20060046226 | Bergler et al. | Mar 2006 | A1 |
20060079889 | Scott | Apr 2006 | A1 |
20060100501 | Berkelman et al. | May 2006 | A1 |
20060119304 | Farritor et al. | Jun 2006 | A1 |
20060149135 | Paz | Jul 2006 | A1 |
20060152591 | Lin | Jul 2006 | A1 |
20060155263 | Lipow | Jul 2006 | A1 |
20060189845 | Maahs et al. | Aug 2006 | A1 |
20060195015 | Mullick et al. | Aug 2006 | A1 |
20060196301 | Oleynikov et al. | Sep 2006 | A1 |
20060198619 | Oleynikov et al. | Sep 2006 | A1 |
20060241570 | Wilk | Oct 2006 | A1 |
20060241732 | Denker | Oct 2006 | A1 |
20060253109 | Chu | Nov 2006 | A1 |
20060258938 | Hoffman et al. | Nov 2006 | A1 |
20060258954 | Timberlake et al. | Nov 2006 | A1 |
20060261770 | Kishi et al. | Nov 2006 | A1 |
20070032701 | Fowler et al. | Feb 2007 | A1 |
20070043397 | Ocel et al. | Feb 2007 | A1 |
20070055342 | Wu et al. | Mar 2007 | A1 |
20070080658 | Farritor et al. | Apr 2007 | A1 |
20070088277 | Mcginley et al. | Apr 2007 | A1 |
20070088340 | Brock et al. | Apr 2007 | A1 |
20070106113 | Ravo | May 2007 | A1 |
20070106317 | Shelton et al. | May 2007 | A1 |
20070123748 | Meglan | May 2007 | A1 |
20070135803 | Belson | Jun 2007 | A1 |
20070142725 | Hardin et al. | Jun 2007 | A1 |
20070156019 | Arkin et al. | Jul 2007 | A1 |
20070156211 | Ferren et al. | Jul 2007 | A1 |
20070167955 | De La Menardiere et al. | Jul 2007 | A1 |
20070225633 | Ferren et al. | Sep 2007 | A1 |
20070225634 | Ferren et al. | Sep 2007 | A1 |
20070241714 | Oleynikov et al. | Oct 2007 | A1 |
20070244520 | Ferren et al. | Oct 2007 | A1 |
20070250064 | Darois et al. | Oct 2007 | A1 |
20070255273 | Fernandez et al. | Nov 2007 | A1 |
20070287884 | Schena | Dec 2007 | A1 |
20080004634 | Farritor et al. | Jan 2008 | A1 |
20080015565 | Davison | Jan 2008 | A1 |
20080015566 | Livneh | Jan 2008 | A1 |
20080021440 | Solomon | Jan 2008 | A1 |
20080033569 | Ferren et al. | Feb 2008 | A1 |
20080045803 | Williams et al. | Feb 2008 | A1 |
20080058835 | Farritor et al. | Mar 2008 | A1 |
20080058989 | Oleynikov et al. | Mar 2008 | A1 |
20080071289 | Cooper et al. | Mar 2008 | A1 |
20080071290 | Larkin et al. | Mar 2008 | A1 |
20080103440 | Ferren et al. | May 2008 | A1 |
20080109014 | de la Pena | May 2008 | A1 |
20080111513 | Farritor et al. | May 2008 | A1 |
20080119870 | Williams et al. | May 2008 | A1 |
20080132890 | Woloszko et al. | Jun 2008 | A1 |
20080161804 | Rioux et al. | Jun 2008 | A1 |
20080164079 | Ferren et al. | Jul 2008 | A1 |
20080168639 | Otake et al. | Jul 2008 | A1 |
20080183033 | Bem et al. | Jul 2008 | A1 |
20080221591 | Farritor et al. | Sep 2008 | A1 |
20080269557 | Marescaux et al. | Oct 2008 | A1 |
20080269562 | Marescaux et al. | Oct 2008 | A1 |
20090002414 | Shibata et al. | Jan 2009 | A1 |
20090012532 | Blackwell et al. | Jan 2009 | A1 |
20090020724 | Paffrath | Jan 2009 | A1 |
20090024142 | Ruiz Morales | Jan 2009 | A1 |
20090048612 | Farritor et al. | Feb 2009 | A1 |
20090054909 | Farritor et al. | Feb 2009 | A1 |
20090069821 | Farritor et al. | Mar 2009 | A1 |
20090076536 | Rentschler et al. | Mar 2009 | A1 |
20090137952 | Ramamurthy et al. | May 2009 | A1 |
20090143787 | De La Pena | Jun 2009 | A9 |
20090163929 | Yeung et al. | Jun 2009 | A1 |
20090171373 | Farritor et al. | Jul 2009 | A1 |
20090192524 | Itkowitz et al. | Jul 2009 | A1 |
20090234369 | Bax et al. | Sep 2009 | A1 |
20090236400 | Cole et al. | Sep 2009 | A1 |
20090240246 | Devill et al. | Sep 2009 | A1 |
20090247821 | Rogers | Oct 2009 | A1 |
20090248038 | Blumenkranz | Oct 2009 | A1 |
20090281377 | Newell et al. | Nov 2009 | A1 |
20090299143 | Conlon et al. | Dec 2009 | A1 |
20090305210 | Guru et al. | Dec 2009 | A1 |
20090326322 | Diolaiti | Dec 2009 | A1 |
20100010294 | Conlon et al. | Jan 2010 | A1 |
20100016659 | Weitzner et al. | Jan 2010 | A1 |
20100016853 | Burbank | Jan 2010 | A1 |
20100026347 | Iizuka | Feb 2010 | A1 |
20100042097 | Newton et al. | Feb 2010 | A1 |
20100056863 | Dejima et al. | Mar 2010 | A1 |
20100069710 | Yamatani et al. | Mar 2010 | A1 |
20100069940 | Miller et al. | Mar 2010 | A1 |
20100081875 | Fowler et al. | Apr 2010 | A1 |
20100101346 | Johnson et al. | Apr 2010 | A1 |
20100130986 | Mailloux et al. | May 2010 | A1 |
20100139436 | Kawashima et al. | Jun 2010 | A1 |
20100185212 | Sholev | Jul 2010 | A1 |
20100198231 | Manzo et al. | Aug 2010 | A1 |
20100204713 | Ruiz Morales | Aug 2010 | A1 |
20100245549 | Allen et al. | Sep 2010 | A1 |
20100250000 | Blumenkranz et al. | Sep 2010 | A1 |
20100262162 | Omori | Oct 2010 | A1 |
20100263470 | Bannasch et al. | Oct 2010 | A1 |
20100274079 | Kim et al. | Oct 2010 | A1 |
20100292691 | Brogna | Nov 2010 | A1 |
20100301095 | Shelton, IV et al. | Dec 2010 | A1 |
20100318059 | Farritor et al. | Dec 2010 | A1 |
20100331856 | Carlson et al. | Dec 2010 | A1 |
20110015569 | Kirschenman et al. | Jan 2011 | A1 |
20110020779 | Hannaford et al. | Jan 2011 | A1 |
20110071347 | Rogers | Mar 2011 | A1 |
20110071544 | Steger et al. | Mar 2011 | A1 |
20110075693 | Kuramochi et al. | Mar 2011 | A1 |
20110077478 | Freeman et al. | Mar 2011 | A1 |
20110082365 | Mcgrogan et al. | Apr 2011 | A1 |
20110098529 | Ostrovsky et al. | Apr 2011 | A1 |
20110107866 | Oka et al. | May 2011 | A1 |
20110152615 | Schostek et al. | Jun 2011 | A1 |
20110224605 | Farritor et al. | Sep 2011 | A1 |
20110230894 | Simaan et al. | Sep 2011 | A1 |
20110237890 | Farritor et al. | Sep 2011 | A1 |
20110238079 | Hannaford et al. | Sep 2011 | A1 |
20110238080 | Ranjit et al. | Sep 2011 | A1 |
20110264078 | Lipow et al. | Oct 2011 | A1 |
20110270443 | Kamiya et al. | Nov 2011 | A1 |
20110276046 | Heimbecher et al. | Nov 2011 | A1 |
20120016175 | Roberts et al. | Jan 2012 | A1 |
20120029727 | Malik | Feb 2012 | A1 |
20120035582 | Nelson et al. | Feb 2012 | A1 |
20120059392 | Diolaiti | Mar 2012 | A1 |
20120078053 | Phee et al. | Mar 2012 | A1 |
20120109150 | Quaid et al. | May 2012 | A1 |
20120116362 | Kieturakis | May 2012 | A1 |
20120179168 | Farritor et al. | Jul 2012 | A1 |
20120221147 | Goldberg et al. | Aug 2012 | A1 |
20120253515 | Coste-Maniere et al. | Oct 2012 | A1 |
20130001970 | Suyama et al. | Jan 2013 | A1 |
20130041360 | Farritor et al. | Feb 2013 | A1 |
20130055560 | Nakasugi et al. | Mar 2013 | A1 |
20130125696 | Long | May 2013 | A1 |
20130131695 | Scarfogliero et al. | May 2013 | A1 |
20130178867 | Farritor et al. | Jul 2013 | A1 |
20130282023 | Burbank et al. | Oct 2013 | A1 |
20130304084 | Beira et al. | Nov 2013 | A1 |
20130325030 | Hourtash et al. | Dec 2013 | A1 |
20130325181 | Moore | Dec 2013 | A1 |
20130345717 | Markvicka et al. | Dec 2013 | A1 |
20130345718 | Crawford et al. | Dec 2013 | A1 |
20140039515 | Mondry et al. | Feb 2014 | A1 |
20140046340 | Wilson et al. | Feb 2014 | A1 |
20140055489 | Itkowitz et al. | Feb 2014 | A1 |
20140058205 | Frederick et al. | Feb 2014 | A1 |
20140100587 | Farritor et al. | Apr 2014 | A1 |
20140137687 | Nogami et al. | May 2014 | A1 |
20140195052 | Tsusaka | Jul 2014 | A1 |
20140221749 | Grant et al. | Aug 2014 | A1 |
20140232824 | Dimaio et al. | Aug 2014 | A1 |
20140276944 | Farritor et al. | Sep 2014 | A1 |
20140303434 | Farritor et al. | Oct 2014 | A1 |
20140371762 | Farritor et al. | Dec 2014 | A1 |
20150051446 | Farritor et al. | Feb 2015 | A1 |
20150057537 | Dillon et al. | Feb 2015 | A1 |
20150157191 | Phee et al. | Jun 2015 | A1 |
20150223896 | Farritor et al. | Aug 2015 | A1 |
20150297299 | Yeung et al. | Oct 2015 | A1 |
20160066999 | Forgione et al. | Mar 2016 | A1 |
20160135898 | Frederick et al. | May 2016 | A1 |
20160291571 | Cristiano | Oct 2016 | A1 |
20160303745 | Rockrohr | Oct 2016 | A1 |
20170014197 | Mccrea et al. | Jan 2017 | A1 |
20170035526 | Farritor et al. | Feb 2017 | A1 |
20170078583 | Haggerty et al. | Mar 2017 | A1 |
20170252096 | Felder et al. | Sep 2017 | A1 |
20170354470 | Farritor et al. | Dec 2017 | A1 |
20180132956 | Cameron | May 2018 | A1 |
20180153578 | Cooper et al. | Jun 2018 | A1 |
20180153634 | Zemlok | Jun 2018 | A1 |
20180338777 | Bonadio et al. | Nov 2018 | A1 |
20190059983 | Germain et al. | Feb 2019 | A1 |
20190090965 | Farritor et al. | Mar 2019 | A1 |
20190209262 | Mustufa et al. | Jul 2019 | A1 |
20190327394 | Ramirez Luna et al. | Oct 2019 | A1 |
20200138534 | Garcia Kilroy et al. | May 2020 | A1 |
20200214775 | Farritor et al. | Jul 2020 | A1 |
20200330175 | Cameron | Oct 2020 | A1 |
20200368915 | Itkowitz et al. | Nov 2020 | A1 |
Number | Date | Country |
---|---|---|
102499759 | Jun 2012 | CN |
102821918 | Dec 2012 | CN |
104523309 | Apr 2015 | CN |
104582600 | Apr 2015 | CN |
104622528 | May 2015 | CN |
204337044 | May 2015 | CN |
105025826 | Nov 2015 | CN |
102010040405 | Mar 2012 | DE |
105656 | Apr 1984 | EP |
279591 | Aug 1988 | EP |
1354670 | Oct 2003 | EP |
2286756 | Feb 2011 | EP |
2286756 | Feb 2011 | EP |
2329787 | Jun 2011 | EP |
2563261 | Mar 2013 | EP |
2684528 | Jan 2014 | EP |
2123225 | Dec 2014 | EP |
2815705 | Dec 2014 | EP |
2881046 | Jun 2015 | EP |
2937047 | Oct 2015 | EP |
S59059371 | Apr 1984 | JP |
S61165061 | Jul 1986 | JP |
S62068293 | Mar 1987 | JP |
H04144533 | May 1992 | JP |
05-115425 | May 1993 | JP |
2006508049 | Sep 1994 | JP |
H06507809 | Sep 1994 | JP |
H06508049 | Sep 1994 | JP |
07-016235 | Jan 1995 | JP |
07-136173 | May 1995 | JP |
7306155 | Nov 1995 | JP |
08-224248 | Sep 1996 | JP |
2001500510 | Jan 2001 | JP |
2001505810 | May 2001 | JP |
2002000524 | Jan 2002 | JP |
2003220065 | Aug 2003 | JP |
2004144533 | May 2004 | JP |
2004-180781 | Jul 2004 | JP |
2004283940 | Oct 2004 | JP |
2004322310 | Nov 2004 | JP |
2004329292 | Nov 2004 | JP |
2006507809 | Mar 2006 | JP |
2009106606 | May 2009 | JP |
2009297809 | Dec 2009 | JP |
2010533045 | Oct 2010 | JP |
2010536436 | Dec 2010 | JP |
2011504794 | Feb 2011 | JP |
2011045500 | Mar 2011 | JP |
2011115591 | Jun 2011 | JP |
2012504017 | Feb 2012 | JP |
2012176489 | Sep 2012 | JP |
5418704 | Feb 2014 | JP |
2015526171 | Sep 2015 | JP |
2016213937 | Dec 2016 | JP |
2017113837 | Jun 2017 | JP |
199221291 | May 1991 | WO |
2001089405 | Nov 2001 | WO |
2002082979 | Oct 2002 | WO |
2002100256 | Dec 2002 | WO |
2005009211 | Jul 2004 | WO |
2005044095 | May 2005 | WO |
2006052927 | Aug 2005 | WO |
2006005075 | Jan 2006 | WO |
2006079108 | Jan 2006 | WO |
2006079108 | Jul 2006 | WO |
2007011654 | Jan 2007 | WO |
2007111571 | Oct 2007 | WO |
2007149559 | Dec 2007 | WO |
2009014917 | Jan 2009 | WO |
2009023851 | Feb 2009 | WO |
2009144729 | Dec 2009 | WO |
2009158164 | Dec 2009 | WO |
2010039394 | Apr 2010 | WO |
2010042611 | Apr 2010 | WO |
2010046823 | Apr 2010 | WO |
2010050771 | May 2010 | WO |
2010083480 | Jul 2010 | WO |
2011075693 | Jun 2011 | WO |
2011118646 | Sep 2011 | WO |
2011135503 | Nov 2011 | WO |
WO-2011135503 | Nov 2011 | WO |
2011163520 | Dec 2011 | WO |
2013009887 | Jan 2013 | WO |
2013052137 | Apr 2013 | WO |
2013106569 | Jul 2013 | WO |
2014011238 | Jan 2014 | WO |
2014025399 | Feb 2014 | WO |
2014144220 | Sep 2014 | WO |
2014146090 | Sep 2014 | WO |
2015009949 | Jan 2015 | WO |
2015031777 | Mar 2015 | WO |
2015088655 | Jun 2015 | WO |
2016077478 | May 2016 | WO |
2017024081 | Feb 2017 | WO |
2017064303 | Apr 2017 | WO |
2017201310 | Nov 2017 | WO |
2018045036 | Mar 2018 | WO |
Entry |
---|
Abbou et al., “Laparoscopic Radical Prostatectomy with a Remote Controlled Robot,” The Journal of Urology, Jun. 2001; 165: 1964-1966. |
Albers et al., Design and development process of a humanoid robot upper body through experimentation, 2004, IEEE, p. 77-92 (Year: 2004). |
Crystal Eyes, http://www.reald.com, 2007 (Stereo 3D visualization for CAVEs, theaters and immersive environments), 1 pg. |
Definition of Individually. Dictionary.com, retrieved on Aug. 9, 2016; Retrieved from the Internet: < http://www.dictionary.com/browse/individually>, 1 page. |
Glukhovsky et al., “The development and application of wireless capsule endoscopy,” Int. J. Med. Robot. Comput. Assist. Surgery, 2004; 1(1): 114-123. |
Gong et al., “Wireless endoscopy,” Gastrointestinal Endoscopy 2000; 51 (6): 725-729. |
Gopura et al., Mechanical designs of active upper-limb exoskeleton robots: State-of-the-art and design difficulties, 2009, IEEE, p. 178-187 (Year: 2009). |
Gopura et al., A brief review on upper extremity robotic exoskeleton systems, 2011, IEEE, p. 346-351 (Year: 2011). |
Guo et al., “Micro Active Guide Wire Catheter System—Characteristic Evaluation, Electrical Model* and Operability Evaluation of Micro Active Catheter,” Proceedings of the 1996 IEEE International Conference on Robotics and Automation, Apr. 1996; 2226-2231. |
Guo et al., “Fish-like Underwater Microrobot with 3 DOF,” Proceedings of the 2002 IEEE International Conference on Robotics & Automation, May 2002; 738-743. |
Hanly et al., “Robotic Abdominal Surgery,” The American Journal of Surgery, 2004; 188 (Suppl. to Oct. 1994); 19S-26S. |
Hanly et al., “Value of the SAGES Learning Center in introducing new technology,” Surgical Endoscopy, 2004; 19(4): 477-483. |
Heikkinen et al., “Comparison of laparoscopic and open Nissen fundoplication two years after operation: A prospective randomized trial,” Surgical Endoscopy, 2000; 14:1019-1023. |
Hissink, “Olympus Medical develops capsule camera technology,” Dec. 2004, accessed Aug. 29, 2007, http://www.letsgodigital.org, 3 pp. |
Horgan et al., “Technical Report: Robots in Laparoscopic Surgery,” Journal of Laparoendoscopic & Advanced Surgical Techniques, 2001; 11(6): 415-419. |
Ishiyama et al., “Spiral-type Micro-machine for Medical Applications,” 2000 International Symposium on Micromechatronics and Human Science, 2000; 65-69. |
Jagannath et al., “Peroral transgastric endoscopic ligation of fallopian tubes with long-term survival in a porcine model,” Gastrointestinal Endoscopy, 2005; 61 (3): 449-453. |
Kalloo et al., “Flexible transgastric peritoneoscopy: a novel approach to diagnostic and therapeutic interventions in the peritoneal cavity,” Gastrointestinal Endoscopy, 2004; 60(1): 114-117. |
Kang et al., “Robotic Assistants Aid Surgeons During Minimally Invasive Procedures,” IEEE Engineering in Medicine and Biology, Jan.-Feb. 2001: 94-104. |
Kantsevoy et al., “Transgastric endoscopic splenectomy,” Surgical Endoscopy, 2006; 20: 522-525. |
Kantsevoy et al., “Endoscopic gastrojejunostomy with survival in a porcine model,” Gastrointestinal Endoscopy, 2005; 62(2): 287-292. |
Kazemier et al. (1998), “Vascular Injuries During Laparoscopy,” J. Am. Coli. Surg. 186(5): 604-5. |
Keller et al., Design of the pediatric arm rehabilitation robot ChARMin, 2014, IEEE, p. 530-535 (Year: 2014). |
Kim, “Early Experience with Telemanipulative Robot-Assisted Laparoscopic Cholecystectomy Using da Vinci,” Surgical Laparoscopy, Endoscopy & Percutaneous Techniques, 2002; 12(1): 33-40. |
Ko et al., “Per-Oral transgastric abdominal surgery,” Chinese Journal of Digestive Diseases, 2006; 7: 67-70. |
Lafullarde et al., “Laparoscopic Nissen Fundoplication: Five-year Results and Beyond,” Arch/Surg, Feb. 2001; 136: 180-184. |
Leggett et al. (2002), “Aortic injury during laparoscopic Fundoplication,” Surg. Endoscopy 16(2): 362. |
Li et al. (2000), “Microvascular Anastomoses Performed in Rats Using a Microsurgical Telemanipulator,” Comp. Aid. Surg., 5: 326-332. |
Liem et al., “Comparison of Conventional Anterior Surgery and Laparoscopic Surgery for Inguinal-hernia Repair,” New England Journal of Medicine, 1997; 336 (22):1541-1547. |
Lou Cubrich, “A Four-DOF Laparo-Endoscopic Single Site Platform for Rapidly-Developing Next Generation Surgical Robotics”, Journal of Medical Robotics Research, vol. 1, No. 4, 2016, 165006-1-165006-15. |
Macfarlane et al., “Force-Feedback Grasper Helps Restore the Sense of Touch in Minimally Invasive Surgery,” Journal of Gastrointestinal Surgery, 1999; 3: 278-285. |
Mack et al., “Present Role of Thoracoscopy in the Diagnosis and Treatment of Diseases of the Chest,” Ann Thorac Surgery, 1992; 54: 403-409. |
Mack, “Minimally Invasive and Robotic Surgery,” JAMA, Feb. 2001; 285(5): 568-572. |
Mei et al., “Wireless Drive and Control of a Swimming Microrobot,” Proceedings of the 2002 IEEE International Conference on Robotics & Automation, May 2002: 1131-1136. |
Menciassi et al., “Robotic Solutions and Mechanisms for a Semi-Autonomous Endoscope,” Proceedings of the 2002 IEEE/RSJ Intl. Conference on Intelligent Robots and Systems, Oct. 2002; 1379-1384. |
Melvin et al., “Computer-Enhanced vs. Standard Laparoscopic Antireflux Surgery,” J Gastrointest Surg 2002; 6: 11-16. |
Menciassi et al., “Locomotion of a Leffed Capsule in the Gastrointestinal Tract: Theoretical Study and Preliminary Technological Results,” IEEE Int. Conf. on Engineering in Medicine and Biology, San Francisco, CA, pp. 2767-2770, Sep. 2004. |
Menciassi et al., “Shape memory alloy clamping devices of a capsule for monitoring tasks in the gastrointestinal tract,” J. Micromech. Microeng, 2005; 15: 2045-2055. |
Meron, “The development of the swallowable video capsule (M2A),” Gastrointestinal Endoscopy 2000; 52 6: 817-819. |
Micron, http://www.micron.com, 2006, ¼-inch VGA NTSC/PAL CMOS Digital Image Sensor, 98 pp. |
Midday Jeff et al., “Material Handling System for Robotic natural Orifice Surgery,”, Proceedings of the 2011 Design of medical Devices Conference, Apr. 12-14, 2011, Minneapolis, MN 4 pages. |
Miller, Ph.D., et al., “In-Vivo Stereoscopic Imaging System with 5 Degrees-of-Freedom for Minimal Access Surgery,” Dept. of Computer Science and Dept. of Surgery, Columbia University, New York, NY, 7 pp. , 2004. |
Munro (2002), “Laparoscopic access: complications, technologies, and techniques,” Curro Opin. Obstet. Gynecol., 14(4): 365-74. |
Nio et al., “Efficiency of manual vs robotical (Zeus) assisted laparoscopic surgery in the performance of standardized tasks,” Surg Endosc, 2002; 16: 412-415. |
Oleynikov et al., “In Vivo Camera Robots Provide Improved Vision for Laparoscopic Surgery,” Computer Assisted Radiology and Surgery (CARS), Chicago, IL, Jun. 23-26, 2004b. |
Oleynikov et al., “Miniature Robots Can Assist in Laparoscopic Cholecystectomy,” Journal of Surgical Endoscopy, 19-4: 473-476, 2005. |
Oleynikov et al., “In Vivo Robotic Laparoscopy,” Surgical Innovation, Jun. 2005, 12(2): 177-181. |
O'Neill, “Surgeon takes new route to gallbladder,” The Oregonian, Jun. 2007; 2 pp. |
Orlando et al. (2003), “Needle and Trocar Injuries in Diagnostic Laparoscopy under Local Anesthesia: What Is the True Incidence of These Complications?” Journal of Laparoendoscopic & Advanced Surgical Techniques, 13(3): 181-184. |
Palm. William. “Rapid Prototyping Primer” May 1998 (revised Jul. 30, 2002) (http://www.me.psu.edu/lamancusa/rapidpro/primer/chapter2.htm), 12 pages. |
Franzino, “The Laprotek Surgical System and the Next Generation of Robotics,” Surg Clin North Am, 2003 83(6): 1317-1320. |
Franklin et al., “Prospective Comparison of Open vs. Laparoscopic Colon Surgery for Carcinoma: Five-Year Results,” Dis Colon Rectum, 1996; 39: S35-S46. |
Flynn et al, “Tomorrow's surgery: micromotors and microrobots for minimally invasive procedures,” Minimally Invasive Surgery & Allied Technologies, 1998; 7(4): 343-352. |
Fireman et al., “Diagnosing small bowel Crohn's desease with wireless capsule endoscopy,” Gut 2003; 52: 390-392. |
Fearing et al., “Wing Transmission for a Micromechanical Flying Insect,” Proceedings of the 2000 IEEE International Conference to Robotics & Automation, Apr. 2000; 1509-1516. |
Faraz et al., “Engineering Approaches to Mechanical and Robotic Design for Minimaly Invasive Surgery (MIS),” Kluwer Academic Publishers (Boston), 2000, 13pp. |
Falcone et al., “Robotic Surgery,” Clin. Obstet. Gynecol. 2003, 46(1): 37-43. |
Fraulob et al., “Miniature assistance module for robot-assisted heart surgery,” Biomed. Tech. 2002, 47 Suppl. 1, Pt. 1: 12-15. |
Fukuda et al., “Mechanism and Swimming Experiment of Micro Mobile Robot in Water,” Proceedings of the 1994 EEE International Conference on Robotics and Automation, 1994: 814-819. |
Fukuda et al., “Micro Active Catheter System with Multi Degrees of Freedom,” Proceedings of the IEEE International Conference on Robotics and Automation, May 1994, pp. 2290-2295. |
Fuller et al., “Laparoscopic Trocar Injuries: A Report from a U.S. Food and Drug Administration (FDA) Center for Devices and Radiological Health (CDRH) Systematic Technology Assessment of Medical Products (STAMP) Committe,” U.S. Food and Drug Adminstration, available at http://www.fdaJ:?;ov, Finalized: Nov. 7, 2003; Updated: Jun. 24, 2005, 11 pp. |
Dumpert et al., “Improving in Vivo Robot Visioin Quality,” from the Proceedings of Medicine Meets Virtual Realtiy, Long Beach, CA, Jan. 26-29, 2005. 1 pg. |
Dakin et al., “Comparison of laparoscopic skills performance between standard instruments and two surgical robotic systems,” Surg Endosc., 2003; 17: 574-579. |
Cuschieri, “Technology for Minimal Access Surgery,” BMJ, 1999, 319: 1-6. |
Grady, “Doctors Try New Surgery for Gallbladder Removal,” The New York Times, Apr. 20, 2007, 3 pp. |
Choi et al., “Flexure-based Manipulator for Active Handheld Microsurgical Instrument,” Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Sep. 2005, 4pp. |
Chanthasopeephan et al., (2003), “Measuring Forces in Liver Cutting: New Equipment and Experimenal Results,” Annals of Biomedical Engineering 31: 1372-1382. |
Cavusoglu et al., “Robotics for Telesurgery: Second Generation Berkeley/UCSF Laparoscopic Telesurgical Workstation and Looking Towards the Future Applications,” Industrial Robot: An International Journal, 2003; 30(1): 22-29. |
Guber et al., “Miniaturized Instrument Systems for Minimally Invasive Diagnosis and Therapy,” Biomedizinische Technic. 2002, Band 47, Erganmngsband 1: 198-201. |
Park et al., “Experimental studies of transgastric gallbladder surgery: cholecystectomy and cholecystogastric anastomosis (videos),” Gastrointestinal Endoscopy, 2005; 61 (4): 601-606. |
Park et al., “Trocar-less Instrumentation for Laparoscopy: Magnetic Positioning of Intra-abdominal Camera and Retractor,” Ann Surg, Mar. 2007; 245(3): 379-384. |
Patronik et al., “Crawling on the Heart: A Mobile Robotic Device for Minimally Invasive Cardiac Interventions,” MICCAI, 2004, pp. 9-16. |
Patronik et al., “Development of a Tethered Epicardial Crawler for Minimally Invasive Cardiac Therapies,” IEEE, pp. 239-240, 2004. |
Patronik et al., “Preliminary evaluation of a mobile robotic device for navigation and intervention on the beating heart,” Computer Aided Surgery, 10(4): 225-232, Jul. 2005. |
Peirs et al., “A miniature manipulator for integration in a self-propelling endoscope,” Sensors and Actuators A, 2001, 92: 343-349. |
Peters, “Minimally Invasive Colectomy: Are the Potential Benefits Realized?” Dis Colon Rectum 1993; 36: 751-756. |
Phee et al., “Development of Microrobotic Devices for Locomotion in the Human Gastrointestinal Tract,” International Conference on Computational Intelligence, Robotics and Autonomous Systems (CI RAS 2001), Nov. 28-30, 2001, Singapore, 6 pages. |
Phee et al., “Analysis and Development of Locomotion Devices for the Gastrointestinal Tract,” IEEE Transactions on Biomedical Engineering, vol. 49, No. 6, Jun. 2002: 613-616. |
Platt et al., “In Vivo Robotic Cameras can Enhance Imaging Capability During Laparoscopic Surgery,” from the Proceedings of the Society of American Gastrointestinal Endoscopic Surgeons (SAGES) Scientific Conference, Ft. Lauderdale, FL, Apr. 13-16, 2005; 1 pg. |
Qian Huan et al., “Multi-joint Single-wound Minimally Invasive Abdominal Surgery Robot Design,” Mechanical Design and Manufacturing, May 8, 2014, pp. 134-137. |
Rentschler et al., “In vivo Mobile Surgical Robotic Task Assistance,” 1 pg. |
Rentschler et al., “Theoretical and Experimental Analysis of In Vivo Wheeled Mobility,” ASME Design Engineering Technical Conferences: 28th Biennial Mechanisms and Robotics Conference, Salt Lake City, Utah, Sep. 28-Oct. 2, 2004; pp. 1-9. |
Rentschler et al., “In Vivo Robots for Laparoscopic Surgery,” Studies in Health Technology and Infonnatics—Medicine Meets Virtual Reality, ISO Press, Newport Beach, CA, 2004a, 98: 316-322. |
Rentschler et al., “Toward In Vivo Mobility,” Studies in Health Technology and Infonnatics—Medicine Meets Virtual Reality, ISO Press, Long Beach, CA, 2005a, III: 397-403. |
Rentschler et al., “Mobile In Vivo Robots Can Assist in Abdominal Exploration,” from the Proceedings of the Society of American Gastrointestinal Endoscopic Surgeons (SAGES) Scientific Conference, Ft. Lauderdale, FL, Apr. 13-16, 2005b. |
Rentschler et al., “Modeling, Analysis, and Experimental Study of In Vivo Wheeled Robotic Mobility,” IEEE Transactions on Robotics, 22 (2): 308-321, 2005c. |
Rentschler et al., “Miniature in vivo robots for remote and harsh environments,” IEEE Transaction on Information Technology in Biomedicine, Jan. 2006; 12(1): pp. 66-75. |
Rentschler et al., “Mechanical Design of Robotic In Vivo Wheeled Mobility,” ASME Journal of Mechanical Design, 2006a; pp. 1-11, Accepted. |
Rentschler et al., “Mobile In Vivo Camera Robots Provide Sole Visual Feedback for Abdominal Exploration and Cholecystectomy,” Journal of Surgical Endoscopy, 20-1: 135-138, 2006b. |
Rentschler et al., “Natural Orifice Surgery with an Endoluminal Mobile Robot,” The Society of American Gastrointestinal Endoscopic Surgeons, Dallas, TX, April 2006d. |
Rentschler et al., “Mobile In Vivo Biopsy and Camera Robot,” Studies in Health and Infonnatics Medicine Meets Virtual Reality, vol. 119: 449-454, IOS Press, Long Beach, CA, 2006e. |
Rentschler et al., “Mobile In Vivo Biopsy Robot,” IEEE International Conference on Robotics and Automation, Orlando, Florida, May 2006; 4155-4160. |
Rentschler et al., “In vivo Robotics during the NEEMO 9 Mission,” Medicine Meets Virtual Reality, Feb. 2007; 1 pg. |
Rentschler et al., “An In Vivo Mobile Robot for Surgical Vision and Task Assistance,” Journal of Medical Devices, Mar. 2007; vol. 1: 23-29. |
Riviere et al., “Toward Active Tremor Canceling in Handheld Microsurgical Instruments,” IEEE Transactions on Robotics and Automation, Oct. 2003, 19(5): 793-800. |
Rosen et al., “Force Controlled and Teleoperated Endoscopic, Grasper for Minimally Invasive Surgery-Experimental Performance Evaluation,” IEEE Transactions of Biomedical Engineering, Oct. 1999; 46(10): 1212-1221. |
Rosen et al., “Task Decomposition of Laparoscopic Surgery for Objective Evaluation of Surgical Residents' Learning Curve Using Hidden Markov Model,” Computer Aided Surgery, vol. 7, pp. 49-61, 2002. |
Rosen et al., “The Blue DRAGON—A System of Measuring the Kinematics and the Dynamics of Minimally Invasive Surgical Tools In-Vivo,” Proc. of the 2002 IEEE International Conference on Robotics and Automation, Washington, DC, pp. 1876-1881, May 2002. |
Rosen et al., Objective Evaluation of Laparoscopic Skills Based on Haptic Information and Tool/Tissue Interactions, Computer Aided Surgery, vol. 7, Issue 1, pp. 49-61, Jul. 2002. |
Rosen et al., “Spherical Mechanism Analysis of a Surgical Robot for Minimally Invasive Surgery—Analytical and Experimental Approaches,” Studies in Health Technology and Infonnatics-Medicine Meets Virtual Reality, pp. 442-448, Jan. 2005. |
Ruurda et al., “Feasibility of Robot-Assisted Laparoscopic Surgery,” Surgical Laparoscopy, Endoscopy & Percutaneous Techniques, 2002; 12(1):41-45. |
Ruurda et al., “Robot-Assisted surgical systems: a new era in laparoscopic surgery,” Ann R. Coll Surg Engl. 2002; 84: 223-226. |
Sackier et al., “Robotically assisted laparoscopic surgery,” Surgical Endoscopy, 1994; 8:63-6. |
Salky, “What is the Penetration of Endoscopic Techniques into Surgical Practice?” Digestive Surgery 2000; 17:422-426. |
Satava, “Surgical Robotics: The Early Chronicles,” Surgical Laparoscopy, Endoscopy & Percutaneous Techniques, 2002; 12(1):6-16. |
Schippers et al. (1996), “Requirements and Possibilities of Computer-Assisted Endoscopic Surgery,” In: Computer Integrated Surgery: Technology and Clinical Applications, pp. 561-565. |
Schurr et al., “Robotics and Telemanipulation Technologies for Endoscopic Surgery,” Surgical Endoscopy, 2000; 14:375-381. |
Schwartz, “In the Lab: Robots that Slink and Squirm,” The New York Times, Mar. 27, 2007, 4 pp. |
Sharp LL-151-3D, http://www.sharp3d.com, 2006, 2 pp. |
Slatkin et al., “The Development of a Robotic Endoscope,” Proceedings of the 1995 IEEE International Conference on Robotics and Automation, pp. 162-171, 1995. |
Smart Pill “Fastastic Voyage: Smart Pill to Expand Testing,” http://www.smartpilldiagnostics.com, Apr. 13, 2005, 1 pg. |
Sodeyama et al., A shoulder structure of muscle-driven humanoid with shoulder blades, 2005, IEEE, p. 1-6 (Year: 2005). |
Southern Surgeons Club (1991), “A prospective analysis of 1518 laparoscopic cholecystectomies,” N. Eng. 1 Med. 324 (16): 1073-1078. |
Stefanini et al., “Modeling and Experiments on a Legged Microrobot Locomoting in a Tubular Compliant and Slippery Environment,” Int. Journal of Robotics Research, vol. 25, No. 5-6, pp. 551-560, May-Jun. 2006. |
Stiff et al., “Long-term Pain: Less Common After Laparoscopic than Open Cholecystectomy,” British Journal of Surgery, 1994; 81: 1368-1370. |
Strong et al., “Efficacy of Novel Robotic Camera vs. a Standard Laproscopic Camera,” Surgical Innovation vol. 12, No. 4, Dec. 2005, Westminster Publications, Inc., pp. 315-318. |
Suzumori et al., “Development of Flexible Microactuator and its Applications to Robotics Mechanisms,” Proceedings of the IEEE International Conference on Robotics and Automation, 1991: 1622-1627. |
Taylor et al., “A Telerobotic Assistant for Laparoscopic Surgery,” IEEE Eng Med Biol, 1995; 279-87. |
Tendick et al. (1993), “Sensing and Manipulation Problems in Endoscopic Surgery: Experiment, Analysis, and Observation,” Presence 2(1): 66-81. |
Tendick et al., “Applications of Micromechatronics in Minimally Invasive Surgery,” IEEE/ASME Transactions on Mechatronics, 1998; 3(1): 34-42. |
Thomann et al., “The Design of a new type of Micro Robot for the Intestinal Inspection,” Proceedings of the 2002 IEEE Intl. Conference on Intelligent Robots and Systems, Oct. 2002: 1385-1390. |
U.S. Appl. No. 60/180,960, filed Feb. 2000. |
U.S. Appl. No. 60/956,032, filed Aug. 15, 2007. |
U.S. Appl. No. 60/983,445, filed Oct. 29, 2007. |
U.S. Appl. No. 60/990,062, filed Nov. 26, 2007. |
U.S. Appl. No. 60/990,076, filed Nov. 26, 2007. |
U.S. Appl. No. 60/990,086, filed Nov. 26, 2007. |
U.S. Appl. No. 60/990,106, filed Nov. 26, 2007. |
U.S. Appl. No. 60/990,470, filed Nov. 27, 2007. |
U.S. Appl. No. 61/025,346, filed Feb. 1, 2008. |
U.S. Appl. No. 61/030,588, filed Feb. 22, 2008. |
U.S. Appl. No. 61/030,617, filed Feb. 22, 2008. |
Worn et al., “Espirit Project No. 33915: Miniaturised Robot for Micro Manipulation (MINIMAN),” Nov. 1998, http://www.ipr.ira.ujka.de/-microbot/miniman. |
Way et al., editors, “Fundamentals of Laparoscopic Surgery,” Churchill Livingstone Inc., 1995; 14 pp. |
Wolfe et al. (1991), Endoscopic Cholecystectomy: An analysis of Complications, Arch. Surg. 1991; 126: 1192-1196. |
Xu et al., “System Design of an Insertable Robotic Effector Platform for Single Access (SPA) Surgery”, The 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct. 11-15, 2009, St. Louis MO USA pp. 5546-5552. |
Yu, BSN, RN, “M2ATM Capsule Endoscopy a Breakthrough Diagnostic Tool for Small Intestine Imagining,” vol. 25, No. 1, 2001, Gastroenterology Nursing, pp. 24-27. |
Yu et al., “Microrobotic Cell Injection,” Proceedings of the 2001 IEEE International Conference on Robotics and Automation, May 2001: 620-625. |
Lehman et al., Dexterous miniature in vivo robot for NOTES, 2009, IEEE, p. 244-249. |
Mihelj et al., ARMin II—7 DoF rehabilitation robot: mechanics and kinematics, 2007, IEEE, p. 4120-4125. |
Zhang et al., Cooperative robotic assistant for laparoscopic surgery: CoBRASurge, 2009, IEEE, p. 5540-5545. |
Abbott et al., “Design of an Endoluminal NOTES Robotic System,” from the Proceedings of the 2007 IEEE/RSJ Int'l Conf. on Intelligent Robot Systems, San Diego, CA, Oct. 29-Nov. 2, 2007, pp. 410-416. |
Allendorf et al., “Postoperative Immune Function Varies Inversely with the Degree of Surgical Trauma in a Murine Model,” Surgical Endoscopy 1997; 11:427-430. |
Ang, “Active Tremor Compensation in Handheld Instrument for Microsurgery.” Doctoral Dissertation, tech report CMU-RI-TR-04-28, Robotics Institute, Carnegie Mellon Unviersity, May 2004, 167pp. |
Atmel 80C5X2 Core, http://www.atmel.com, 2006, 186pp. |
Bailey et al., “Complications of Laparoscopic Surgery,” Quality Medical Publishers, Inc., 1995, 25pp. |
Ballantyne, “Robotic Surgery, Telerobotic Surgery, Telepresence, and Telementoring,” Surgical Endoscopy, 2002; 16: 1389-1402. |
Bauer et al., “Case Report: Remote Percutaneous Renal Percutaneous Renal Access Using a New Automated Telesurgical Robotic System,” Telemedicine Journal and e-Health 2001; (4): 341-347. |
Begos et al., “Laparoscopic Cholecystectomy: From Gimmick to Gold Standard,” J Clin Gastroenterol, 1994; 19(4): 325-330. |
Berg et al., “Surgery with Cooperative Robots,” Medicine Meets Virtual Reality, Feb. 2007, 1 pg. |
Breda et al., “Future developments and perspectives in laparoscopy,” Eur. Urology 2001; 40(1): 84-91. |
Breedveld et al., “Design of Steerable Endoscopes to Improve the Visual Perception of Depth During Laparoscopic Surgery,” ASME, Jan. 2004; vol. 126, pp. 1-5. |
Breedveld et al., “Locomotion through the Intestine by means of Rolling Stents,” Proceedings of the ASME Design Engineering Technical Conferences, 2004, pp. 1-7. |
Calafiore et al., Multiple Arterial Conduits Without Cardiopulmonary Bypass: Early Angiographic Results,: Ann Thorac Surg, 1999; 67: 450-456. |
Camarillo et al., “Robotic Technology in Surgery: Past, Present and Future,” The American Journal of Surgery. 2004; 188: 28-15. |
Cavusoglu et al., “Telesurgery and Surgical Simulation: Haptic Interfaces to Real and Virtual Surgical Environments,” In McLaughlin, M.L., Hespanha, J.P., and Sukhatme, G., editors. Touch in virtual environments, IMSC Series in Multimedia 2001, 28pp. |
Dumpert et al., “Stereoscopic In Vivo Surgical Robots,” IEEE Sensors Special Issue on In Vivo Sensors for Medicine, Jan. 2007, 10 pp. |
Green, “Telepresence Surgery”, Jan. 1, 1995, Publisher: IEEE Engineering in Medicine and Biology. |
Cleary et al., “State of the Art in Surgical Rootics: Clinical Applications and Technology Challenges”, “Computer Aided Surgery”, Jan. 1, 2002, pp. 312-328, vol. 6. |
Stoianovici et al., “Robotic Tools for Minimally Invasive Urologic Surgery”, Jan. 1, 2002, pp. 1-17. |
Number | Date | Country | |
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20200330172 A1 | Oct 2020 | US |
Number | Date | Country | |
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61781594 | Mar 2013 | US |
Number | Date | Country | |
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Parent | 15894489 | Feb 2018 | US |
Child | 16922560 | US | |
Parent | 14210934 | Mar 2014 | US |
Child | 15894489 | US |