Minimalistic approach to 3D obstacle avoidance behavior from simulated evolution

Titus R. Neumann, Susanne A. Huber, Heinrich H. Bülthoff

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)

    Abstract

    We present a minimalistic approach to establish obstacle avoidance and course stabilization behavior of a simulated flying autonomous agent in a 3D virtual world. The agent uses visual cues, and its sensory and motor components arc based on biological principles found in flies. A simple neural network is used for coupling the receptor and effector systems of the agent. In order to achieve appropriate reactions to sensory input, the connection weights are adjusted by a genetic algorithm under a closed loop action-perception condition.

    Original languageEnglish
    Title of host publicationArtificial Neural Networks - ICANN 1997 - 7th International Conference, Proceeedings
    EditorsWulfram Gerstner, Alain Germond, Martin Hasler, Jean-Daniel Nicoud
    PublisherSpringer Verlag
    Pages715-720
    Number of pages6
    ISBN (Print)3540636315, 9783540636311
    DOIs
    Publication statusPublished - 1997
    Event7th International Conference on Artificial Neural Networks, ICANN 1997 - Lausanne, Switzerland
    Duration: 1997 Oct 81997 Oct 10

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume1327
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other7th International Conference on Artificial Neural Networks, ICANN 1997
    Country/TerritorySwitzerland
    CityLausanne
    Period97/10/897/10/10

    Bibliographical note

    Publisher Copyright:
    © Springer-Verlag Berlin Heidelberg 1997.

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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