Grasp planning by alignment of pairwise shape descriptorss

  • Authors:
  • Amer Agovic;Nikos Papanikolopoulos

  • Affiliations:
  • University of Minnesota, Minneapolis, MN;University of Minnesota, Minneapolis, MN

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

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Abstract

The majority of work related to grasp planning has centered on the understanding of what constitutes a good grasp. However, to reach a good grasp we must first find the relative position of the gripper, its approach vector, and finger configuration. This search problem is the focus of our paper.We propose an on-line method that uses pairwise shape descriptors to quickly find good alignments between the gripper contact surface and the target. Having found a good fit, we then evaluate how alignment quality relates to grasp quality and what can be done to speed up the exploration of the DOF space.