Modeling obstacle avoidance behavior of flies using an adaptive autonomous agent

Susanne A. Huber, Heinrich H. Bülthoff

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

    2 Citations (Scopus)

    Abstract

    In the course of evolution flies have developed specialized visuomotor programs for tasks like compensating for course deviations, obstacle avoidance, and tracking, which are based on the analysis of visual motion information. In order to test models of the obstacle avoidance behavior in flies, we use computer-simulated agents that evolve parts of their sensor system and sensorimotor coupling with genetic algorithms. During a simulated evolution, these agents specialize a visuomotor program that enables the agents to avoid obstacles.

    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
    Pages709-714
    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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