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An introduction to computational intelligence techniques for robot control

John A. Bullinaria (School of Computer Science, Centre of Excellence for Research in Computational Intelligence and Applications, The University of Birmingham, Birmingham, UK)
Xiaoli Li (School of Computer Science, Centre of Excellence for Research in Computational Intelligence and Applications, The University of Birmingham, Birmingham, UK)

Industrial Robot

ISSN: 0143-991x

Article publication date: 26 June 2007

653

Abstract

Purpose

The purpose of this paper is to discuss the application of computational intelligence techniques to the field of industrial robot control.

Design/methodology/approach

The core ideas behind using neural computation, evolutionary computation, and fuzzy logic techniques are presented, along with a selection of specific real‐world applications.

Findings

Their practical advantages and disadvantages relative to more traditional approaches are made clear.

Originality/value

The reader will appreciate the power of computational intelligence techniques for industrial robot control, and hopefully be encouraged to explore further the possibility of using them to achieve improved performance in their own applications.

Keywords

Citation

Bullinaria, J.A. and Li, X. (2007), "An introduction to computational intelligence techniques for robot control", Industrial Robot, Vol. 34 No. 4, pp. 295-302. https://doi.org/10.1108/01439910710749618

Publisher

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Emerald Group Publishing Limited

Copyright © 2007, Emerald Group Publishing Limited

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