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Real-time and accurate multiple contact detection between general curved objects

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

Abstract

Contact detection based on computing minimum distance is a fundamental issue important to many applications. A largely unsolved problem is how to detect multiple contacts that are formed simultaneously between non-convex and non-polyhedral general objects both accurately and in real-time. This paper presents an effective solution to the problem. Our approach first locates the pairs of closest components by fast intersection checking based on hybrid bounding volume hierarchies of surface components. For each pair of such components, it then finds the pairs of closest points and corresponding pairs of closest parametric features by combining collision detection or minimum distance query between polygonal meshes of those components and exact distance computation between the parametric features. Implementation results show that this approach can compute multiple simultaneous contacts between general objects both very accurately and efficiently in the order of several milliseconds regardless of the numbers of features on the objects.

Original languageEnglish
Title of host publication2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
Pages556-561
Number of pages6
DOIs
StatePublished - 2006
Externally publishedYes
Event2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 - Beijing, China
Duration: 9 Oct 200615 Oct 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
Period9/10/0615/10/06

Keywords

  • Collision detection
  • Curved objects
  • Minimum distance computation
  • Multiple contact detection
  • Real time

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