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Interactive-rate Motion Planning for Concentric Tube Robots.

Luis G Torres1, Cenk Baykal1, Ron Alterovitz1

  • 1Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA {luis,baykal,ron}@cs.unc.edu.

IEEE International Conference on Robotics and Automation : ICRA : [Proceedings]. IEEE International Conference on Robotics and Automation
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Summary
This summary is machine-generated.

This study presents a fast motion planning method for concentric tube robots, enabling safer minimally invasive surgery. The system allows real-time collision avoidance for navigating complex anatomical pathways.

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Area of Science:

  • Robotics
  • Medical Robotics
  • Surgical Robotics

Background:

  • Concentric tube robots offer potential for safer, minimally invasive surgery by navigating curved paths to reach difficult anatomical sites.
  • Operating these robots is complex due to unintuitive kinematics and the need to avoid sensitive tissues.

Purpose of the Study:

  • To develop and demonstrate a high-speed motion planning method for concentric tube robots.
  • To enable collision-free navigation for these robots during minimally invasive procedures.

Main Methods:

  • A motion planning method combining offline precomputation of a collision-free roadmap with online position control was developed.
  • A highly accurate mechanical model of tube interactions was employed to manage the device's complex shape changes.
  • The planner computes collision-free motion plans for concentric tube robots at interactive rates.

Main Results:

  • The developed motion planner achieves high speed and accuracy, enabling interactive control.
  • The system allows users to freely move the robot's tip while the planner ensures the shaft avoids anatomical obstacles.
  • Demonstrated effectiveness in a simulated neurosurgical scenario with automatic collision avoidance.

Conclusions:

  • The interactive motion planning method enhances the safety and usability of concentric tube robots for minimally invasive surgery.
  • This approach facilitates navigation in complex anatomical regions, overcoming previous operational challenges.
  • The combination of precomputation and online control provides a robust solution for real-time surgical robot guidance.