Skip to main content
SpringerLink
Log in

Evolutionary computing in robotics

  • Invited Article
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

Abstract

Intelligent systems are required in knowledge engineering, computer science, mechatronics, and robotics. This article discusses machine (system) intelligence from the viewpoints of the learning and adaptation of living things. We then introduce computational intelligence, including neural networks, fuzzy systems, and genetic algorithms, and end with a discussion of recent work on computational intelligence in robotics.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Author information

Authors and Affiliations

  1. Department of Micro System Engineering, Graduete School of Engineering, Nagoya University, Furo-cho 1, Chikusa-ku, 464-8603, Nagoya, Japan

    Toshio Fukuda

  2. Department of Micro System Engineering, Graduate School of Engineering, Nagoya University, Nagoya, Japan

    Yasuhisa Hasegawa

Authors
  1. Toshio Fukuda
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yasuhisa Hasegawa
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Toshio Fukuda.

About this article

Cite this article

Fukuda, T., Hasegawa, Y. Evolutionary computing in robotics. Artif Life Robotics 6, 1–2 (2002). https://doi.org/10.1007/BF02481203

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02481203

Key words

Search

Navigation