A model of collision-detection for maxillofacial multi-arm surgery robot

Xiang Yu Zhu, Xing Guang Duan*, Chao Chen, Tian Bo Liu, Qing Bo Guo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

A maxillofacial Multi-arm surgery robot is employed to assisting maxillofacial surgery, which can improve surgical precision and reduce surgeons' strain. Thus, the safety during the processing of the surgery is necessary for protecting the patient and preventing the quality of the surgery.This paper presents the development of a collision and self-collision-detection scheme, for Maxillofacial Multi-arm Surgery Robot. The method is based on modeling the arm of Multi-arm robot and the obstacle in surgery environment by simple geometric primitives (cylinders and spheres). Methods of detecting collision about the cylinders and the spheres are introduced. By resorting to the pose of cylinder or sphere which presents in the workspace, many different types of collisions are introduced. The performance of the collision-avoidance scheme is demonstrated with Multi-arm robot via experiments.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Automation and Logistics, ICAL 2012
Pages539-544
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Automation and Logistics, ICAL 2012 - Zhengzhou, China
Duration: 15 Aug 201217 Aug 2012

Publication series

NameIEEE International Conference on Automation and Logistics, ICAL
ISSN (Print)2161-8151

Conference

Conference2012 IEEE International Conference on Automation and Logistics, ICAL 2012
Country/TerritoryChina
CityZhengzhou
Period15/08/1217/08/12

Keywords

  • Collision Avoidance
  • Collision Detection
  • Geometric Primitives
  • Multi-arm robot

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