Prof Emma Hart E.Hart@napier.ac.uk
Professor
Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning
Hart, Emma; Le Goff, Léni K
Authors
Dr Leni Le Goff L.LeGoff2@napier.ac.uk
Lecturer
Abstract
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.
Citation
Hart, E., & Le Goff, L. K. (2022). Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning. Philosophical Transactions B: Biological Sciences, 377(1843), https://doi.org/10.1098/rstb.2021.0117
Journal Article Type | Review |
---|---|
Acceptance Date | Sep 23, 2021 |
Online Publication Date | Dec 13, 2021 |
Publication Date | 2022-01 |
Deposit Date | Oct 13, 2021 |
Publicly Available Date | Dec 13, 2021 |
Journal | Philosophical Transactions of the Royal Society B: Biological Sciences |
Print ISSN | 0962-8436 |
Electronic ISSN | 1471-2970 |
Publisher | Royal Society |
Peer Reviewed | Peer Reviewed |
Volume | 377 |
Issue | 1843 |
DOI | https://doi.org/10.1098/rstb.2021.0117 |
Keywords | Artificial Evolution; Robotics; evolution; individual learning; cultural learning |
Public URL | http://researchrepository.napier.ac.uk/Output/2812315 |
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Artificial Evolution Of Robot Bodies And Control: On The Interaction Between Evolution, Individual And Cultural Learning (accepted version)
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