An open-source platform for cooperative, semi-autonomous robotic surgery

Laura Connolly, Anton Deguet, Kyle Sunderland, Andras Lasso, Tamas Ungi, John F. Rudan, Russell H. Taylor, Parvin Mousavi, Gabor Fichtinger

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

Abstract

Introduction: In this paper, we present and assess a proof of concept platform for semi-autonomous, cooperative robotic surgery. The platform is easily reproducible thanks to simple hardware components and open-source software. Moreover, the design accommodates open, soft tissue surgeries that recent advancements in surgical robotics do not generally focus on. Methods: The system is made up of an inexpensive robotic manipulator, a navigation system and a software interface. Accuracy measurement is performed on a rigid phantom that mimics the conditions of breast conserving surgery (BCS) as an example of a surgical use case. Results: The average target registration error (TRE) and fiducial registration error (FRE) of the system is within 1 mm. This indicates that the navigation system is sufficient for certain surgical applications such as BCS. The platform can also be easily replicated and used in a lab or home environment.

Original languageEnglish (US)
Title of host publicationICAS 2021 - 2021 IEEE International Conference on Autonomous Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728172897
DOIs
StatePublished - Aug 11 2021
Event2021 IEEE International Conference on Autonomous Systems, ICAS 2021 - Virtual, Montreal, Canada
Duration: Aug 11 2021Aug 13 2021

Publication series

NameICAS 2021 - 2021 IEEE International Conference on Autonomous Systems, Proceedings

Conference

Conference2021 IEEE International Conference on Autonomous Systems, ICAS 2021
Country/TerritoryCanada
CityVirtual, Montreal
Period8/11/218/13/21

Keywords

  • Cooperative robotics.
  • Open source medical robotics
  • Semiautonomous robotic surgery
  • Soft tissue surgery

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Control and Optimization

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