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Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
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Classification of grasps by robot hands.

Y Zhang1, W A Gruver, J Li

  • 1Robotics Inst., Beijing Univ. of Aeronaut. & Astronaut.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|February 5, 2008
PubMed
Summary

This study classifies robotic grasping based on object connectivity, decomposing contact forces into subspaces to reveal grasp characteristics and guide force distribution for manipulation tasks.

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Area of Science:

  • Robotics
  • Mechanical Engineering
  • Control Theory

Background:

  • Robotic grasping is fundamental for manipulation tasks.
  • Understanding grasp categories based on object connectivity is crucial.
  • Force decomposition is key to analyzing grasp stability and control.

Purpose of the Study:

  • To classify robotic hand grasps based on object connectivity.
  • To decompose contact force spaces into relevant subspaces.
  • To reveal kinematic and static properties of different grasp types.

Main Methods:

  • Decomposition of contact force space into four subspaces.
  • Determination of subspace dimensions relative to object connectivity.
  • Analysis of force distribution guidelines for robotic hands.

Main Results:

  • Established relationships between subspace dimensions and grasp categories.
  • Demonstrated how contact forces decompose according to grasp type.
  • Identified power grasps through object connectivity analysis.

Conclusions:

  • The developed method provides insights into grasp mechanics.
  • Offers a framework for synthesizing robotic hand configurations.
  • Facilitates understanding of force distribution in robotic grasping.