A. E. Eiben
Emma Hart
ABSTRACT
We elaborate on (future) evolutionary robot systems where morphologies and controllers of real robots are evolved in the real-world. We argue that such systems must contain a learning component where a newborn robot refines its inherited controller to align with its body, which will inevitably be different from its parents.
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Cross Ref
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- Matthew F Hale, Edgar Buchanan, Alan F Winfield, Jon Timmis, Emma Hart, Agoston E Eiben, Mike Angus, Frank Veenstra, Wei Li, Robert Woolley, et al. 2019. The ARE Robot Fabricator: How to (Re) produce Robots that Can Evolve in the Real World. In The 2019 Conference on Artificial Life. MIT Press, 95--102.Google Scholar
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- Sam Kriegman, Douglas Blackiston, Michael Levin, and Josh Bongard. 2020. A scalable pipeline for designing reconfigurable organisms. Proceedings of the National Academy of Sciences 117, 4 (2020), 1853--1859. arXiv:https://www.pnas.org/content/117/4/1853.full.pdf Google ScholarCross Ref
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Index Terms
- If it evolves it needs to learn
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