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A Multi-brain Approach for Multiple Tasks in Evolvable Robots

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Applications of Evolutionary Computation (EvoApplications 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13989))

Abstract

We investigate the joint evolution of morphologies (bodies) and controllers (brains) of modular robots for multiple tasks. In particular, we want to validate an approach based on three premises. First, the controller is a combination of a user-defined decision tree and evolvable/learnable modules, one module for each given task. Second, morphologies and controllers are evolved jointly for each task simultaneously by a multi-objective evolutionary algorithm. Third, after terminating the evolutionary process, the brain of the users’ favorite morphology is optimized by a learning algorithm applied to the task-specific controller modules independently.

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Notes

  1. 1.

    (see Revolve https://github.com/ci-group/revolve).

  2. 2.

    (see MultiNeat https://github.com/MultiNEAT/).

  3. 3.

    (see shorturl.me/JtySjtH).

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Authors and Affiliations

  1. Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Ege de Bruin, Julian Hatzky, Babak Hosseinkhani Kargar & A. E. Eiben

Authors
  1. Ege de Bruin
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  2. Julian Hatzky
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  3. Babak Hosseinkhani Kargar
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  4. A. E. Eiben
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Corresponding authors

Correspondence to Ege de Bruin , Julian Hatzky or Babak Hosseinkhani Kargar .

Editor information

Editors and Affiliations

  1. University of Coimbra, Coimbra, Portugal

    João Correia

  2. University of York, York, UK

    Stephen Smith

  3. Al Hussein Technical University, Amman, Jordan

    Raneem Qaddoura

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de Bruin, E., Hatzky, J., Hosseinkhani Kargar, B., Eiben, A.E. (2023). A Multi-brain Approach for Multiple Tasks in Evolvable Robots. In: Correia, J., Smith, S., Qaddoura, R. (eds) Applications of Evolutionary Computation. EvoApplications 2023. Lecture Notes in Computer Science, vol 13989. Springer, Cham. https://doi.org/10.1007/978-3-031-30229-9_9

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  • DOI: https://doi.org/10.1007/978-3-031-30229-9_9

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  • Print ISBN: 978-3-031-30228-2

  • Online ISBN: 978-3-031-30229-9

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