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Serial Comanipulation in Beating Heart Surgery Using a LWPR-Model Based Predictive Force Control Approach

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7102))

Abstract

Compensation of cardiac motion during robot-assisted surgical procedures is needed to ensure better quality stabilization. Serial Comanipulation to actively compensate physiological motion is one alternative to common used Teleoperation techniques. In this paper, a 1 DOF hand-held force controlled prototype is presented. The active part of the instrument moves in synchronism with the heart motion in order to guarantee that the contact is maintained thanks to the application of a controlled force, while the surgeon’s hand is in charge to perform the surgical task.

It then focuses on a crucial control aspect: there is a lack of a parametric model describing the interaction between the surgical instrument and the heart that would provide enough precision for prediction. Namely, the robot low level controller and the beating heart are modeled thanks to a Locally Weighted Projection Regression (LWPR). The paper discusses how this technique can be used in the context of predictive force control and shows conclusive simulation results.

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References

  1. Bachta, W., Renaud, P., Laroche, E., Gangloff, J., Forgione, A.: Cardiolock: An Active Cardiac Stabilizer. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part I. LNCS, vol. 4791, pp. 78–85. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  2. Bebek, O., Cavusoglu, M.C.: Intelligent control algorithms for robotic-assisted beating heart surgery. IEEE Transactions on Robotics 23(3), 468–480 (2007)

    Article  Google Scholar 

  3. Berne, R., Levy, M.N., Koeppen, B.M., Stanton, A.: Physiology, 5th edn. Elsevier (2007)

    Google Scholar 

  4. Busack, M., Morel, G., Bellot, D.: Breathing motion compensation for robot assisted laser osteotomy. In: ICRA 2010, pp. 4573–4578 (May 2010)

    Google Scholar 

  5. Cagneau, B., Zemiti, N., Bellot, D., Morel, G.: Physiological motion compensation in robotized surgery using force feedback control. In: ICRA 2007, pp. 1881–1886 (April 2007)

    Google Scholar 

  6. Camacho, E.F., Bordons, C.: Model Predictive Control. Advanced Textbooks in Control and Signal Processing, 2nd edn. Springer London Ltd., London (2004)

    Google Scholar 

  7. Dominici, M., Poignet, P., Cortesão, R., Dombre, E., Tempier, O.: Compensation for 3d physiological motion in robotic-assisted surgery using a predictive force controller: experimental results. In: IROS 2009, pp. 2634–2639. IEEE Press, Piscataway (2009)

    Google Scholar 

  8. Florez, J.M., Bellot, D., Morel, G.: Lwpr-model based predictive force control for serial comanipulation in beating heart surgery. In: 2011 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM (July 2011)

    Google Scholar 

  9. Franke, T., Bebek, O., Cavusoglu, M.: Improved prediction of heart motion using an adaptive filter for robot assisted beating heart surgery. In: IROS 2007, pp. 509–515 (October 2007)

    Google Scholar 

  10. Ginhoux, R., Gangloff, J., de Mathelin, M., Soler, L., Sanchez, M., Marescaux, J.: Active filtering of physiological motion in robotized surgery using predictive control. IEEE Transactions on Robotics 21(1), 67–79 (2005)

    Article  Google Scholar 

  11. Gregorčič, G., Lightbody, G.: Gaussian process approach for modelling of nonlinear systems. Eng. Appl. Artif. Intell. 22(4-5), 522–533 (2009)

    Article  MATH  Google Scholar 

  12. Fisher, V.J., Stuckey, J.H., Kavaler, F.: The potentiated contraction and ventricular ”contractility”. Bull. N Y Acad. Med., 592–601 (June 1965)

    Google Scholar 

  13. Kocijan, J., Murray-Smith, R., Rasmussen, C.E., Girard, A.: Gaussian process model based predictive control. In: Proceedings of the 2004 American Control Conference, vol. 3, pp. 2214–2219 (June 2004)

    Google Scholar 

  14. Nakamura, Y., Kishi, K., Kawakami, H.: Heartbeat synchronization for robotic cardiac surgery. In: ICRA 2001, vol. 2, pp. 2014–2019 (2001)

    Google Scholar 

  15. Navia, J.L., Atik, F.A., Takagaki, M.: Robot-assisted epicardial lead placement. In: Gharagozloo, F., Najam, F. (eds.) Robotic Surgery, 1st edn., ch. 11, pp. 84–93. McGraw-Hill (2009)

    Google Scholar 

  16. Riviere, C., Gangloff, J., de Mathelin, M.: Robotic compensation of biological motion to enhance surgical accuracy. Proceedings of the IEEE 94(9), 1705–1716 (2006)

    Article  Google Scholar 

  17. Salaun, C.: Apprentissage de modèles pour la commande de la mobilité interne en robotique. Ph.D. thesis, Université Pierre & Marie Curie - Paris VI (2010)

    Google Scholar 

  18. Schaal, S., Atkeson, C.G., Vijayakumar, S.: Scalable techniques from nonparametric statistics for real time robot learning. Applied Intelligence 17(1), 49–60 (2002)

    Article  MATH  Google Scholar 

  19. Sermesant, M., Delingette, H., Ayache, N.: An electromechanical model of the heart for image analysis and simulation. IEEE Transactions on Medical Imaging 25(5), 612–625 (2006)

    Article  Google Scholar 

  20. Vijayakumar, S., D’Souza, A., Schaal, S.: Incremental online learning in high dimensions. Neural Computation 17, 2602–2634 (2005)

    Article  MathSciNet  Google Scholar 

  21. Yuen, S.G., Yip, M.C., Vasilyev, N.V., Perrin, D.P., del Nido, P.J., Howe, R.D.: Robotic Force Stabilization for Beating Heart Intracardiac Surgery. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5761, pp. 26–33. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  22. Zemiti, N., Morel, G., Cagneau, B., Bellot, D., Micaelli, A.: A passive formulation of force control for kinematically constrained manipulators. In: ICRA 2006, pp. 2238–2243 (May 2006)

    Google Scholar 

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Florez, J.M., Bellot, D., Szewczyk, J., Morel, G. (2011). Serial Comanipulation in Beating Heart Surgery Using a LWPR-Model Based Predictive Force Control Approach. In: Jeschke, S., Liu, H., Schilberg, D. (eds) Intelligent Robotics and Applications. ICIRA 2011. Lecture Notes in Computer Science(), vol 7102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25489-5_38

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  • DOI: https://doi.org/10.1007/978-3-642-25489-5_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25488-8

  • Online ISBN: 978-3-642-25489-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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