Summary
We present a new method to generate spatial motion constraints for surgical robots that provide sophisticated ways to assist the surgeon. Surgical robotic assistant systems are human-machine collaborative systems (HMCS) that work interactively with surgeons by augmenting their ability to manipulate surgical instruments in carrying out a variety of surgical tasks. The goal of “virtual fixtures” (VF) is to provide anisotropic motion behavior to the surgeon’s motion command and to filter out tremor to enhance precision and stability. Our method uses a weighted, linearized, multi-objective optimization framework to formalize a library of virtual fixtures for task primitives. We set the objective function based on user input that can be obtained through a force sensor, joystick or a master robot. We set the linearized subject function based on five basic geometric constraints. The strength of this approach is that it is extensible to include additional constraints such as collision avoidance, anatomy-based constraints and joint limits, by using an instantaneous kinematic relationship between the task variables and robot joints. We illustrate our approach using three surgical tasks: percutaneous needle insertion, femur cutting for prosthetic implant and suturing. For the percutaneous procedures we provide a remote center of motion (RCM) point that provides an isocentric motion that is fundamental to these types of procedures. For femur cutting procedures we provide assistance by maintaining proper tool orientation and position. For the suturing task we address the problem of stitching in endoscopic surgery using a circular needle. We show that with help of VF, suturing can be performed at awkward angles without multiple trials, thus avoiding damage to tissue.
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References
P. Berkelman, P. Cinquin, J. Troccaz, J. Ayoubi, C. Letoublon, and F. Bouchard. A compact, compliant laparoscopic endoscope manipulator. In Proc. IEEE Int. Conf. Robotics and Automation, pages 1870–1875, 2002.
J. Rosen, J. D. Brown, L. Chang, M. Barreca, M. Sinanan, and B. Hannaford. The bluedragon-a system for measuring the kinematics, the dyanmics of minimally invasive surgical tools in-vivo. In Proc. IEEE Int. Conf. Robotics and Automation, pages 1876–1881, 2002.
G. S. Guthart and J. K. Salisbury. The intuitive telesurgery system: Overview, application. In Proc. IEEE Int. Conf. Robotics and Automation, pages 618–621, 2000.
M. Chodoussi, S. E. Butner, and Y. Wang. Robotic surgery-the transatlantic case. In Proc. IEEE Int. Conf. Robotics and Automation, pages 1882–1888, 2002.
M. C. Cavusoglu, W. Williams, F. Tendick, and S. S. Sastry. Robotics for telesurgery: second generation berkeley/ucsf laparoscopic telesurgical workstation, looking toward the future applications. Industrial Robot, Special Issue on Medical Robotics, 30(1):22–29, 2003.
P. S. Schenker, H. Das, and R. T. Ohm. Development of a new high-dexterity manipulator for robot-assisted microsurgery. In Proc. SPIE-The International Society for Optical Engineering: Telemanipulator and Telepresence Technologies, 2351:191–198, 1995.
P. S. Jensen, K. W. Grace, R. Attariwala, J. E. Colgate, and M. R. Glucksberg. Toward robot-assisted vascular microsurgery in the retina. Graefes Archive for Clinical and Experimental Ophthalmology, 235(11):696–701, 1997.
M. Mitsuishi, Y. Iizuka, H. Watanabe, H. Hashizume, and K. Fujiwara. Remote operation of a micro-surgical system. In Proc. IEEE Int. Conf. Robotics and Automation, pages 1013–1019, 1998.
R. H. Taylor, H. A. Paul, P. Kazanzides, B. D. Mittelstadt, W. Hanson, J. F. Zuhars, B. L. Musits B. Williamson, E. Glassman, and W. L. Bargar. An image-directed robotic system for precise orthopaedic surgery. IEEE Transactions on Robotics and Automation, 10(3):261–275, 1994.
J. Wurm, H. Steinhart, K. Bumm, M. Vogele, C. Nimsky, and H. Iro. A novel robot system for fully automated paranasal sinus surgery. In International Congress Series, 1256:633–638, 2003.
I. W. Hunter, T. D. Doukoglou, S. R. Lafontaine, P. G. Charette, L. A. Jones, M. A. Sagar, G. D. Mallinson, and P. J. Hunter. A teleoperated microsurgical robot, associated virtual environment for eye surgery. Presence, 2(4):265–280, 1993.
M. Mitsuishi, T. Watanabe, H. Nakanishi, T. Hori, H. Watanabe, and B. Kramer. A tele-micro-surgery system with co-located view, operation points, a rotational-force-feedback-free master manipulator. In 2nd Int. Symp. Medical Robotcis and Computer-Assisted Surgery (MRCAS), pages 111–118, 1995.
M. Mitsuishi, H. Watanabe, H. Nakanishi, H. Kubota, and Y. Iizuka. Dexterity enhancement for a tele-micro-surgery system with multiple macro-micro co-located operation point manipulators, understanding of the operator’s intention. In 3rd Int. Symp. Medical Robotcis and Computer-Assisted Surgery (MRCAS), pages 821–830, 1997.
S. E. Salcudean and G. Bell S. Ku. Performance measurement in scaled teleoperation for microsurgery. In 1st Int. Symp. Medical Robotics and Computer-Assisted Surgery (MRCAS), pages 789–798, 1997.
B. L. Davies, S. J. Harris, W. J. Lin, R. D. Hibberd, R. Middleton, and J. C. Cobb. Active compliance in robotic surgery-the use of force control as a dynamic constraint. In Proc. Inst. Mech. Eng. H, 211(4):285–292, 1997.
S. Park, R. D. Howe, and D. F. Torchiana. Virtual fixtures for robotic cardiac surgery. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), pages 1419–1420, 2001.
A. Bettini, P. Marayong, S. Lang, A. M. Okamura, and G. D. Hager. Vision assisted control for manipulation using virtual fixtures. In IEEE Transactions on Robotics, 20(6):953–966, 2004.
R. Kumar, G. D. Hager, A. Barnes, P. Jensen, and R. H. Taylor. An augmentation system for fine manipulation. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), pages 956–965, 2000.
P. Marayong, M. Li, A. M. Allison, and G. D. Hager. Spatial motion constraints: theory, demonstrations for robot guidance using virtual fixtures. In Proc. IEEE Int. Conf. Robotics and Automation, pages 1954–1959, 2003.
D. Aarno, S. Ekvall, and D. Kragic. iadaptive virtual fixtures for machine-assisted teleoperation tasks. In Proc. IEEE Int. Conf. Robotics and Automation, pages 1151–1156, 2005.
J. Funda, R. H. Taylor, B. Eldridge, S. Gomory, and K. G. Gruben. Constrained cartesian motion control for teleoperated surgical robots. IEEE Transactions on Robotics and Automation, 12(3):453–465, 1996.
M. Li, A. Kapoor, and R. H. Taylor. A constrained optimization approach to virtual fixtures. In Proc. IEEE/RSJ Int. Conf. Intelligent Robots and Systems, pages 2924–2929, 2005.
R. H. Taylor, J. Funda, B. Eldridge, K. Gruben, D. LaRose, S. Gomory, M. Talamini, L. R. Kavoussi, and J. Anderson. A telerobotic assistant for laparoscopic surgery. IEEE Eng. Med. Biol. Mag., 14:279–287, 1995.
R. H. Taylor, P. Jensen, L. L. Whitcomb, A. Barnes, R. Kumar, D. Stoianovici, P. Gupta, Z. Wang, E. deJuan, and L. Kavoussi. A steady-hand robotic system for microsurgical augmentation. International Journal of Robotics Research, 18(12):1201–1210, 1999.
M. Cavasoglu, F. Tendick, M. Cohn, and S. Sastry. A laparoscopic telesurgical workstation. IEEE Transactions on Robotics and Automation, 15(4):728–739, 1999.
C. Lawson and R. Hanson. Solving Least Squares Problems. Prentice-Hall, 1974.
A. Kapoor, M. Li, and R. H. Taylor. Spatial motion constraints for robot assisted suturing using virtual fixtures. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), pages 89–96, 2005.
U. Wiesel and M. Boerner. First experiences using a surgical robot for total knee replacement. In Proc. Computer Assisted Orthopaedic Surgery (CAOS Intl), pages 143–146, 2001.
S. J. Harris, K. L. Fan, R. D. Hibberd, and B. L. Davies. Experiences with robotic systems for knee surgery. In Proc. 3rd Int. Conf. Medical Robotics and Computer Assisted Surgery, pages 757–766, 1997.
S. Mai and W. Siebert. Planning and technique using the robot system ‘caspar’ for tkr. In Proc. Computer Assisted Orthopaedic Surgery (CAOS Intl), pages 278–288, 2001.
A. Kapoor, N. Simaan, and R. H. Taylor. Suturing in confined spaces: constrained motion control of a hybrid 8-dof robot. In Proc. IEEE Int. Conf. Advanced Robotics, pages 452–459, 2005.
M. Li and R. H. Taylor. Optimum robot control for 3d virtual fixture in constrained ent surgery. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), pages 165–172, 2003.
M. Li and R. H. Taylor. Spatial motion constraints in medical robot using virtual fixtures generated by anatomy. In Proc. IEEE Int. Conf. Robotics and Automation, pages 1270–1275, 2004.
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Li, M., Kapoor, A., Taylor, R.H. (2007). Telerobotic Control by Virtual Fixtures for Surgical Applications. In: Ferre, M., Buss, M., Aracil, R., Melchiorri, C., Balaguer, C. (eds) Advances in Telerobotics. Springer Tracts in Advanced Robotics, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71364-7_23
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