Stable grasp planning by evolutionary programming

Yoshiaki Katada, Mikhail Svinin, Kazuhiro Ohkura, Kanji Ueda

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper deals with the problem of synthesis of stable grasp by multifingered hands. First, a mathematical description of the problem is formulated. The grasp to be synthesized should satisfy equilibrium conditions and unilateral frictional constraints. In addition, it should be stable against disturbances applied to the object. Two types of stability conditions, contact stability and Lyapunov stability, are taken into consideration. Contact points, contact forces, and joint stiffnesses are considered as the problem variables. The objective function maximizes admissible linear and rotational disturbances applied to the object. Since the dimension and the complexity of the resulting constrained optimization problem is high enough, the evolutionary programming (EP) approach is explored. Two EP techniques, a conventional one and a specially designed robust technique with a genetic drift, are discussed. The feasibility of these techniques is verified for the synthesis of stable grasp by a three-fingered robotic hand.

Original languageEnglish
Pages (from-to)749-756
Number of pages8
JournalIEEE Transactions on Industrial Electronics
Volume48
Issue number4
DOIs
Publication statusPublished - Aug 1 2001

Fingerprint

Evolutionary algorithms
Planning
Constrained optimization
Point contacts
End effectors
Stiffness

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Stable grasp planning by evolutionary programming. / Katada, Yoshiaki; Svinin, Mikhail; Ohkura, Kazuhiro; Ueda, Kanji.

In: IEEE Transactions on Industrial Electronics, Vol. 48, No. 4, 01.08.2001, p. 749-756.

Research output: Contribution to journalArticle

Katada, Yoshiaki ; Svinin, Mikhail ; Ohkura, Kazuhiro ; Ueda, Kanji. / Stable grasp planning by evolutionary programming. In: IEEE Transactions on Industrial Electronics. 2001 ; Vol. 48, No. 4. pp. 749-756.
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