Loading…

Dynamic Active Constraints for Surgical Robots Using Vector-Field Inequalities

Robotic assistance allows surgeons to perform dexterous and tremor-free procedures, but robotic aid is still under-represented in procedures with constrained workspaces, such as deep brain neurosurgery and endonasal surgery. In these procedures, surgeons have restricted vision to areas near the surg...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on robotics 2019-10, Vol.35 (5), p.1166-1185
Main Authors: Marinho, Murilo Marques, Adorno, Bruno Vilhena, Harada, Kanako, Mitsuishi, Mamoru
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Robotic assistance allows surgeons to perform dexterous and tremor-free procedures, but robotic aid is still under-represented in procedures with constrained workspaces, such as deep brain neurosurgery and endonasal surgery. In these procedures, surgeons have restricted vision to areas near the surgical tooltips, which increases the risk of unexpected collisions between the shafts of the instruments and their surroundings. In this paper, our vector-field-inequalities method is extended to provide dynamic active-constraints to any number of robots and moving objects sharing the same workspace. The method is evaluated with experiments and simulations in which robot tools have to avoid collisions autonomously and in real-time, in a constrained endonasal surgical environment. Simulations show that with our method the combined trajectory error of two robotic systems is optimal. Experiments using a real robotic system show that the method can autonomously prevent collisions between the moving robots themselves and between the robots and the environment. Moreover, the framework is also successfully verified under teleoperation with tool-tissue interactions.
ISSN:1552-3098
1941-0468
DOI:10.1109/TRO.2019.2920078