Fast Algorithm for Collision Detection between Deformable Objects

Mourad Nouicer 1 Mehdi Ammy 1 Abderrahmane Kheddar 2
2 HEP
CNRS-AIST JRL - Joint Robotics Laboratory [Japan]
Abstract : In this work, a novel method for solving minimum distance calculations between a pair of objects is presented. The method is based on the global optimization technique known as Genetic Algorithms, combined with a cut procedure that reduces the search space considerably, which accelerates convergence of the global stochastic search algorithm. Furthermore, the proposed algorithm may provide contact information in order to compute the efforts that must be applied if a collision occurs in case of deformable objects. Example with simple objects is presented.
Type de document :
Communication dans un congrès
Beji, L. and Otmane, S. and Abichou, A. CISA'09: 2nd Mediterranean Conference on Intelligent Systems and Automation, Mar 2009, Zarzis, Tunisia. 1107, pp.311-312, 2009, 〈http://lsc.univ-evry.fr/cisa09/doku.php〉. 〈10.1063/1.3106491〉
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Soumis le : jeudi 14 mars 2013 - 16:31:03
Dernière modification le : jeudi 11 janvier 2018 - 06:26:27

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Mourad Nouicer, Mehdi Ammy, Abderrahmane Kheddar. Fast Algorithm for Collision Detection between Deformable Objects. Beji, L. and Otmane, S. and Abichou, A. CISA'09: 2nd Mediterranean Conference on Intelligent Systems and Automation, Mar 2009, Zarzis, Tunisia. 1107, pp.311-312, 2009, 〈http://lsc.univ-evry.fr/cisa09/doku.php〉. 〈10.1063/1.3106491〉. 〈lirmm-00800919〉

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