Dual-scale robotic solution for middle ear surgery

Jae Hun So, Brahim Tamadazte, Naresh Marturi, Jerome Szewczyk*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper deals with the control of a redundant robotic system for middle ear surgery (i.e., cholesteatoma tissues removal). The targeted robotic system is a macro-micro-scale robot composed of a redundant seven degrees of freedom (DoFs) on which is attached a two DoFs robotized flexible fiberscope. Two different control architectures are proposed to achieve a defined surgical procedure to remove the pathological tissue inside the middle ear cavity. The first proposed control mode is based on the position-based tele-operation of the entire system using a joystick (Phantom Omni) as a master arm. The second one combines comanipulation of the seven DoFs robotic arm using an embedded force/torque sensor and an end-frame tele-operation of the remaining two DoFs fiberscope using a lab-made in-hand joystick. Experimental validation is performed to evaluate and compare the performance of both developed control schemes. The obtained results using the lab-made platform and the proposed controllers are discussed.

Original languageEnglish
Title of host publication2022 International Conference on Robotics and Automation (ICRA)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1784-1790
Number of pages7
ISBN (Electronic)9781728196817
ISBN (Print)9781728196824 (PoD)
DOIs
Publication statusPublished - 12 Jul 2022
Event39th IEEE International Conference on Robotics and Automation, ICRA 2022 - Philadelphia, United States
Duration: 23 May 202227 May 2022

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
PublisherIEEE
ISSN (Print)1050-4729
ISSN (Electronic)2577-087X

Conference

Conference39th IEEE International Conference on Robotics and Automation, ICRA 2022
Country/TerritoryUnited States
CityPhiladelphia
Period23/05/2227/05/22

Bibliographical note

Funding Information:
This work has been supported by French ANR µRoCS Project no ANR-17-CE19-0005-04. 1 Sorbonne Université, CNRS UMR 7222, INSERM U1150, ISIR, F-75005, Paris, France. 2 Extreme Robotics Laboratory, University of Birmingham, Birmingham, U.K. [email protected].

Publisher Copyright:
© 2022 IEEE.

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Dual-scale robotic solution for middle ear surgery'. Together they form a unique fingerprint.

Cite this