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 language | English |
|---|---|
| Pages (from-to) | 1703-1709 |
| Number of pages | 7 |
| Journal | International Journal of Precision Engineering and Manufacturing |
| Volume | 17 |
| Issue number | 12 |
| DOIs | |
| State | Published - 1 Dec 2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Collision avoidance
- Collision detection
- Medical robot
- Optimization
- Path planning
Fingerprint
Dive into the research topics of 'End-effector path planning and collision avoidance for robot-assisted surgery'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver