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Simulation-based fast collision detection for scaled polyhedral objects in motion by exploiting analytical contact equations

  • Jing Sin Liu*
  • , Wen Hua Pan
  • , Wen Yang Ku
  • , Y. H. Tsao
  • , Y. Z. Chang
  • *此作品的通信作者
  • Academia Sinica - Institute of Information Science
  • National Taiwan University
  • University of Toronto
  • Chang Gung University

研究成果: 期刊稿件文章同行評審

4 引文 斯高帕斯(Scopus)

摘要

Based on the results of the study of convex object motion1 (J. Hopcroft and G. Wilfong, Motion of objects in contact, Int. J. Robot. Res., 4(4), 32-46 (1986)), this paper addresses the problem of exact collision detection of a pair of scaled convex polyhedra in relative motion, and determines the contact conditions of tangential contact features, arbitrary relative motion involving translation and rotation, and uniform scaling of the objects about a fixed point. We propose a new concept of the decision curve based on analytical contact equations that characterize a continuum of scaling factors (or a single scaling factor), which ensures that a pair of objects undergoing a scaling transformation will maintain the same tangential contact feature pair (or make instantaneous tangential contact feature transitions). We propose a reliable simulation-based approach to construct the decision curve by hybridizing analytical contact equations and conventional collision detection method, called the Fast Collision Detection Method (FCDM). This method can determine whether two scaled objects will make contact at specific tangential contact features (vertices, edges, or faces) under particular uniform scaling factors and after distinctive relative motion with better accuracy and less computational time than the existing collision detection methods. Finally, we demonstrate our approach for solving motion design in simple assembly/disassembly problems.

原文英語
頁(從 - 到)118-134
頁數17
期刊Robotica
34
發行號1
DOIs
出版狀態已出版 - 01 01 2016

文獻附註

Publisher Copyright:
Copyright © Cambridge University Press 2014.

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