Shared control schemes for middle ear surgery

Jae Hun So*, Stéphane Sobucki, Jérôme Szewczyk, Naresh Marturi, Brahim Tamadazte

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
35 Downloads (Pure)

Abstract

This paper deals with the control of a redundant cobot arm to accomplish peg-in-hole insertion tasks in the context of middle ear surgery. It mainly focuses on the development of two shared control laws that combine local measurements provided by position or force sensors with the globally observed visual information. We first investigate the two classical and well-established control modes, i.e., a position-based end-frame tele-operation controller and a comanipulation controller. Based on these two control architectures, we then propose a combination of visual feedback and position/force-based inputs in the same control scheme. In contrast to the conventional control designs where all degrees of freedom (DoF) are equally controlled, the proposed shared controllers allow teleoperation of linear/translational DoFs while the rotational ones are simultaneously handled by a vision-based controller. Such controllers reduce the task complexity, e.g., a complex peg-in-hole task is simplified for the operator to basic translations in the space where tool orientations are automatically controlled. Various experiments are conducted, using a 7-DoF robot arm equipped with a force/torque sensor and a camera, validating the proposed controllers in the context of simulating a minimally invasive surgical procedure. The obtained results in terms of accuracy, ergonomics and rapidity are discussed in this paper.

Original languageEnglish
Article number824716
JournalFrontiers in Robotics and AI
Volume9
DOIs
Publication statusPublished - 22 Mar 2022

Bibliographical note

Funding Information:
Funding for the μRoCS project was provided by the French Agence National de la Recherche under Grant number ANR-17-CE19-0005-04.

Publisher Copyright:
Copyright © 2022 So, Sobucki, Szewczyk, Marturi and Tamadazte.

Keywords

  • comanipulation
  • medical robotics
  • robot control
  • tele-operation
  • visual servoing

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence

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