Two-stage adaptation of a position/force robot controller - application of soft computing techniques

Kazuo Kiguchi, Keigo Watanabe, Kiyotaka Izumi, Toshio Fukuda

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Friction of each joint of a robot manipulator has to be effectively compensated for in order to realize precise position/force control of robot manipulators. Recently, soft computing techniques (fuzzy reasoning, neural networks, and genetic algorithm) have been playing an important role in the control of robots. Applying soft computing techniques, learning/adaptation ability and human knowledge can be incorporated into a robot controller. In this paper, we propose a two-stage adaptive robot manipulator position/force control method in which uncertain/unknown dynamic of the environment is compensated for in the task space and joint friction is effectively compensated for in the joint space using soft computing techniques. The effectiveness of the proposed control method was evaluated by experiments.

Original languageEnglish
Pages (from-to)141-144
Number of pages4
JournalUnknown Journal
Publication statusPublished - 1999
Externally publishedYes

Fingerprint

Soft computing
friction
Robots
Manipulators
Controllers
Force control
Position control
genetic algorithm
learning
Friction
Intelligent robots
experiment
Genetic algorithms
Neural networks
method
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Two-stage adaptation of a position/force robot controller - application of soft computing techniques. / Kiguchi, Kazuo; Watanabe, Keigo; Izumi, Kiyotaka; Fukuda, Toshio.

In: Unknown Journal, 1999, p. 141-144.

Research output: Contribution to journalArticle

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