Learning to control self-assembling morphologies: A study of generalization via modularity

Contemporary sensorimotor learning approaches typically start with an existing complex agent (e.g., a robotic arm), which they learn to control. In contrast, this paper investigates a modular co-evolution strategy: a collection of primitive agents learns to dynamically self-assemble into composite b...

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Bibliographic Details
Main Author: Isola, Phillip John (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: 2021-01-12T18:40:29Z.
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Online Access:Get fulltext

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