Collision detection of deformable polyhedral objects via inner-outer ellipsoids

Jing Sin Liu*, Ju I. Kao, Yau Zen Chang

*Corresponding author for this work

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

4 Scopus citations

Abstract

For deformable polyhedral objects undergoing vertex repositioning, this paper develops a collision detection procedure by virtue of inner-outer ellipsoidal bounds of deformation. A new design of collision detector with tunable accuracy, defined by a linear inequality for easily computed and updated parameters, is presented. It utilizes and tracks a measure of proximity/penetration between two objects in the direction of shortest path between two inner ellipsoids. Moreover, it does not incur additional computational expenses since no costly updating process and heavy dependence on the geometric details of the deformed polyhedral objects is needed, so that the efficiency is comparable to that of rigid cases. Numerical experiments on pairs of randomly scaling convex polyhedra, lacking geometry coherence, demonstrated that the efficiency of the new collision detector is comparable to the rigid case.

Original languageEnglish
Title of host publication2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
Pages5600-5605
Number of pages6
DOIs
StatePublished - 2006
Event2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 - Beijing, China
Duration: 09 10 200615 10 2006

Publication series

NameIEEE International Conference on Intelligent Robots and Systems

Conference

Conference2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
Country/TerritoryChina
CityBeijing
Period09/10/0615/10/06

Keywords

  • Collision detection
  • Deformable object
  • Ellipsoid

Fingerprint

Dive into the research topics of 'Collision detection of deformable polyhedral objects via inner-outer ellipsoids'. Together they form a unique fingerprint.

Cite this