Survey of robotic control systems constructed by using evolutionary computations

Keigo Watanabe, Kiyotaka Izumi

Research output: Contribution to journalConference article

9 Citations (Scopus)

Abstract

This survey provides a brief discussion on control and motion planning approaches to robotic manipulators or mobile robots with softcomputing techniques. In particular, the paper presents the latest accomplishments and explores future trends in such a field. Specific topics of interest to this survey include: (1) the identification of dynamic model for multi-link manipulators by using neural networks (NNs) with genetic algorithms (GAs), (2) behavior-based control of mobile robots or manipulators by applying NNs or fuzzy reasoning, together with evolutionary computations such as GAs, genetic programming (GP), or evolutionary strategy (ES), (3) path planning problem with obstacle avoidance for mobile robots or manipulators by using evolutionary computations, and (4) motion planning approach to configure self-organizing robots by applying GAs.

Original languageEnglish
Pages (from-to)II-758 - II-763
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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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