Research Output

Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning

  We survey and reflect on evolutionary approaches to the joint optimisation of the body and control of a robot, in scenarios where a the goal is to find a design that maximises performance on a specified task. The review is grounded in a general framework for evolution which permits the interaction of evolution acting on a population with individual and cultural learning mechanisms. We discuss examples of variations of the general scheme of "evolution plus learning" from a broad range of robotic systems, and reflect on how the interaction of the two paradigms influences diversity, performance, and rate of improvement. Finally, we suggest a number of avenues for future work as result of the insights that arise from the review.

  • Type:

    Review

  • Date:

    23 September 2021

  • Publication Status:

    Accepted

  • ISSN:

    0962-8436

  • Funders:

    EPSRC Engineering and Physical Sciences Research Council

Citation

Hart, E., & Le Goff, L. K. (in press). Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning. Philosophical Transactions B: Biological Sciences,

Authors

Keywords

Artificial Evolution; Robotics; evolution; individual learning; cultural learning

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