Resolving Manipulator Redundancy Under Inequality Constraints

Fan-Tien Cheng, Tsing Hua Chen, York Yih Sun

Research output: Contribution to journalArticle

123 Citations (Scopus)

Abstract

Due to hardware limitations, physical constraints such as joint rate bounds, joint angle limits, and joint torque constraints always exist. In this paper, these constraints are considered into the general formulation of the redundant inverse kinematic problem. To take these physical constraints into account, the computationally efficient Compact Quadratic Programming (QP) method is formed to resolve the constrained kinematic redundancy problem. In addition, the CompactInverse QP method is also formulated to remedy the unescapable singularity problem with inequality constraints. Two examples are given to demonstrate the generality and superiority of these two methods: to eliminate the drift phenomenon caused by self motion and to remedy saturation-type nonlinearity problem.

Original languageEnglish
Pages (from-to)65-71
Number of pages7
JournalIEEE Transactions on Robotics and Automation
Volume10
Issue number1
DOIs
Publication statusPublished - 1994 Jan 1

Fingerprint

Quadratic programming
Manipulators
Redundancy
Inverse kinematics
Kinematics
Torque
Hardware

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

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Resolving Manipulator Redundancy Under Inequality Constraints. / Cheng, Fan-Tien; Chen, Tsing Hua; Sun, York Yih.

In: IEEE Transactions on Robotics and Automation, Vol. 10, No. 1, 01.01.1994, p. 65-71.

Research output: Contribution to journalArticle

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