End-effector path planning and collision avoidance for robot-assisted surgery

Quoc Cuong Nguyen, Youngjun Kim, Sehyung Park, Hyuk Dong Kwon

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

The limited workspace and potential for collision between the robot arm and surrounding environment are challenges in robotassisted surgery. In robot-assisted surgical procedures, the surgical robot’s end-effector must reach the patient’s anatomical targets without collision with the patient or surrounding instrument. This paper proposes a novel end-effector path planning method for a robot-assisted surgical system. A collision detection and avoidance method was also developed to create a collision-free path to enhance patient safety. The proposed algorithm also addresses how to update the planned path when the patient moves during a surgical procedure. Experimental results showed that the proposed method successfully solves the path planning and collision avoidance problem in robot-guided surgery.

Original languageEnglish
Pages (from-to)1703-1709
Number of pages7
JournalInternational Journal of Precision Engineering and Manufacturing
Volume17
Issue number12
DOIs
StatePublished - 1 Dec 2016

Keywords

  • Collision avoidance
  • Collision detection
  • Medical robot
  • Optimization
  • Path planning

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