Embodied Evolution in Collective Robotics: A Review

September 26, 2017 ยท The Cartographer ยท ๐Ÿ› Frontiers in Robotics and AI

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Embodied Evolution in Collective Robotics: A Review"

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Authors Nicolas Bredeche, Evert Haasdijk, Abraham Prieto arXiv ID 1709.08992 Category cs.NE: Neural & Evolutionary Cross-listed cs.AI, cs.MA, cs.RO Citations 100 Venue Frontiers in Robotics and AI Last Checked 8 days ago
Abstract
This paper provides an overview of evolutionary robotics techniques applied to on-line distributed evolution for robot collectives -- namely, embodied evolution. It provides a definition of embodied evolution as well as a thorough description of the underlying concepts and mechanisms. The paper also presents a comprehensive summary of research published in the field since its inception (1999-2017), providing various perspectives to identify the major trends. In particular, we identify a shift from considering embodied evolution as a parallel search method within small robot collectives (fewer than 10 robots) to embodied evolution as an on-line distributed learning method for designing collective behaviours in swarm-like collectives. The paper concludes with a discussion of applications and open questions, providing a milestone for past and an inspiration for future research.
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