Regrasp planning in the grasp space using independent regions

  • Authors:
  • Maximo A. Roa;Raul Suarez

  • Affiliations:
  • Institute of Industrial and Control Engineering, Technical University of Catalonia;IOC, UPC, Barcelona, Spain

  • Venue:
  • IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
  • Year:
  • 2009

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Abstract

This paper presents an approach for quasi-static regrasp planning using n fingers, taking advantage of a method that quickly explores the grasp space for discrete objects. The approach relies on a sampling method, which provides samples of force-closure or non force-closure grasps used to compute regions of the graspable or non-graspable space, respectively. The regrasp contact points generated assure that a force-closure grasp is always possible when performing the regrasp motions. Application examples are included to show the relevance of the results.