Application and Exploration of Sensorimotor Coordination Strategies in Surgical Robotics

Anthony Jarc, Ilana Nisky

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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.

Original languageAmerican English
Title of host publicationCognitive Systems Monographs
PublisherSpringer Verlag
Pages41-71
Number of pages31
DOIs
StatePublished - 1 Jan 2020

Publication series

NameCognitive Systems Monographs
Volume36

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Control and Systems Engineering

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