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Non-restraint Master Interface of Minimally Invasive Surgical Robot Using Hand Motion Capture
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 Title & Authors
Non-restraint Master Interface of Minimally Invasive Surgical Robot Using Hand Motion Capture
Jang, Ik-Gyu;
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Introduction: Surgical robot is the alternative instrument that substitutes the difficult and precise surgical operation; should have intuitiveness operationally to transfer natural motions. There are limitations of hand motion derived from contacting mechanical handle in the surgical robot master interface such as mechanical singularity, isotropy, coupling problems. In this paper, we will confirm and verify the feasibility of intuitive Non-restraint master interface which tracking the hand motion using infra-red camera and only 3 reflective markers without the hardware handle for the surgical robot master interface. Materials & methods: We configured S/W and H/W system; arranged 6 infra-red cameras and attached 3 reflective markers on hands for measuring 3 dimensional coordinate then we find the 7 motions of grasp, yaw, pitch, roll, px, py, pz. And we connected Virtual-Master to the slave surgical robot(Laparobot) and observed the feasibility. To verify the result of motion, we compare the result of Non-restraint master and that of clinometer (and protractor) through measuring 0~180 degree, 10degree interval, 1000 samples and recorded standard deviation stands for error rate of the value. Results: We confirmed that the average angle values of Non-restraint master interface is accurately corresponds to the result of clinometer (and protractor) and have low error rates during motion. Investigation & Conclusion: In this paper, we confirmed the feasibility and accuracy of 3D Non-restraint master interface that can offer the intuitive motion of non-contact hardware handle. As a result, we can expect the high intuitiveness, dexterousness of surgical robot.
Surgical robot;High-Intuitiveness;Master interface;Non-restraint;Coupling;
 Cited by
Mitsuishi M., "Medical Robot and Master Slave System for Minimally Invasive Surgery," in Complex Medical Engineering, 2007. IEEE/ICME International Conference on, 2007, pp. 8-13.

Y. Komoguchi, et al., "Redundancy resolution of a 7DOF haptic interface considering colloision and singularity avoidance," in International Conference on Intelligent Robots and Systems Acropolis Convention Center, Nice, France, 2008, pp. 3513-3518.

GAV Christiansson and E. Fritz, "A novel planar 3-DOF hard-soft haptic teleoperator," in Sencond Joint EuroHaptics Conference and Symposium on Haptic Interface for Virtual Environment and Teleoperator Systems, 2007, pp. 361-366.

HW Kim, et al., "Singularity-free load distribution algorithms for a 6DOF parallel haptic device," in Proceedings of the 2004 IEEE International Conference on Robotics & Automation, New Orleans, 2004, pp. 298-304.

K Nagase and S. Katsura, "Bilateral control considering singularity based on observation of torque error," in The 11th IEEE International Workshop on Advanced Motion Control, Nagaoka, 2010, pp. 744-749.

T. Molet, et al., "A Real Time Anatomical Converter For Human Motion Capture," in In Eurographics Workshop on Computer Animation and Simulation 1996, pp.79-94.

JH Chung, et al., "Implementation of foldable 3DOF master device to handle a large glass plate," in International Conference on Intelligent Robot and Systems Louis, 2009, pp. 741-747.

LJ Socco, et al., "On the use of scaling matrices for task specific robot design," IEEE transactions on Robotics and Automation, vol. 15, pp. 958-965, 1999. crossref(new window)

MJH Lum, et al., "Optimization of a spherical mechanism for a minimally invasive surgical robot: Theoretical and experimental approaches," IEEE transactions on Biomedical Engineering, vol. 53, pp. 1440-1445, 2006. crossref(new window)

T Huang, et al., "Optimal kinematic design of 2 DOF parallel manipulators with well shaped workspace bounded by a specified conditioning index," IEEE transactions on Robotics and Automation, vol. 20, pp. 538-543, 2004. crossref(new window)

A.G. Kirk, et al., "Skeletal Parameter Estimation from Optical Motion Capture Data," in CVPR 2005, 2004, pp. 782-788.

J. Borenstein and L. Feng, "Gyrodometry: A New Method for Combining Data from Gyros and Odometry in Mobile Robots," in Proceedings of the 1996 IEEE International Conference on Robotics and Automation, Minneapolis, 1996, pp. 423-428.

J. Deutscher, et al., "Articulated body motion capture by annealed particle filtering," in Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on, SC, USA, 2000, pp. 126-133.

Y. Nishida and K. Kitamura, "Quick Realization of Function for Detecting Human Activity Events by Ultrasonic 3D Tag and Stereo Vision," in IEEE International Conference on Pervasive Computing and Communications, 2004, pp. 43-54.

T.L. Grigorie and D.G. Sandu, "The influences of the gyro sensors' errors on the attitude calculus," in 49th International Symposium ELMAR 2007, Zadar, 2007, p. 85.

F. Wang, et al., "Gait analysis and validation using voxel data," in 31st Annual International Conference of the IEEE EMBS, Minneapolis, Minnesota, 2009, p. 6127.

H.M. Je, et al., "Hand gesture recognition to understand musical conducting action," in IEEE International Conference on Robot & Human Interactive Communication, Jeju, Korea, 2007, p. 163.

J.E. McNamara, et al., "Motion capture of chest and abdominal markers using a flexible multi-camera motion-tracking system for correcting motion-induced artifacts in cardiac SPECT," in Nuclear science symposium conference record, 2007., Honolulu, HI, 2007, p. 4289.

W. Tian, et al., "Spatio-temporal characteristics of human gaits based on joint angle analysis," in 3rd IEEE International Conference on, Chengdu, 2010, p. 439.

S.B. Niku, "Robot kinematics: position analysis," in Introduction to robotics analysis, systems, applications, ed CA: Prentice hall, 2002, pp. 68-72.