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Application and Exploration of Sensorimotor Coordination Strategies in Surgical Robotics

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Metrics of Sensory Motor Coordination and Integration in Robots and Animals

Part of the book series: Cognitive Systems Monographs ((COSMOS,volume 36))

Abstract

Robot-assisted minimally invasive surgery (RAMIS) is a highly complex sensorimotor task. The architecture of current RAMIS platforms enables surgeons to use master manipulators to precisely and intuitively control surgical instruments to complete intricate procedures. However, a comprehensive understanding of surgeon sensorimotor behavior is lacking. In this chapter, we discuss a research avenue that seeks to improve RAMIS by applying ideas from basic science and, in turn, to further develop these ideas to improve our fundamental understanding of human sensorimotor coordination. We discuss why RAMIS could serve as an excellent research platform, as well as what general assumptions are made when applying theories to RAMIS. In the end, we believe that RAMIS provides an exciting opportunity for integrated research in robotics and sensorimotor behavior.

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Acknowledgements

The authors wish to thank Myriam Curet for her valuable comments on the manuscript. IN was funded by the Marie Curie International Outgoing Fellowship, and the Weizmann Institute of Science National Postdoctoral Award for Advancement of Women in Science.

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Authors and Affiliations

  1. Medical Research, Intuitive Surgical, Inc., Sunnyvale, CA, USA

    Anthony Jarc

  2. Department of Biomedical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel

    Ilana Nisky

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  1. Anthony Jarc
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  2. Ilana Nisky
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Correspondence to Ilana Nisky .

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Editors and Affiliations

  1. Institute of Biorobotics, Scuola Superiore Sant’Anna, Pisa, Italy

    Fabio Bonsignorio

  2. Intelligent Systems Division, Manipulation and Mobility Systems Group, National Institute of Standards and Technology, Gaithersburg, MD, USA

    Elena Messina

  3. Robotic Intelligence Laboratory, Department of Computer Science and Engineering, Universidad Jaume I, Castellón de la Plana, Spain

    Angel P. del Pobil

  4. Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, Odense, Denmark

    John Hallam

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Jarc, A., Nisky, I. (2020). Application and Exploration of Sensorimotor Coordination Strategies in Surgical Robotics. In: Bonsignorio, F., Messina, E., del Pobil, A., Hallam, J. (eds) Metrics of Sensory Motor Coordination and Integration in Robots and Animals. Cognitive Systems Monographs, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-030-14126-4_3

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