Survey of force control of robot manipulators using softcomputing techniques

Kazuo Kiguchi, Toshio Fukuda

Research output: Contribution to journalConference article

13 Citations (Scopus)

Abstract

One of the most important and fundamental tasks of the robot manipulators is position/force control. It is necessary to realize the desired force to perform sophisticated tasks such as grinding, deburring, wiping, or assembling of objects with the robot. In this survey paper, we mainly discuss on existing several force control systems for robot manipulators by applying softcomputing techniques, such as neural networks, fuzzy reasoning, and fuzzy-neural networks. We also point out some open-problems for the future works.

Original languageEnglish
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume2
Publication statusPublished - Dec 1 1999
Externally publishedYes
Event1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn
Duration: Oct 12 1999Oct 15 1999

Fingerprint

Force control
grinding
Manipulators
control system
Fuzzy neural networks
Robots
Deburring
Position control
Control systems

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Hardware and Architecture

Cite this

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