From real-time adaptation to social learning in robot ecosystems

While evolutionary robotics can create novel morphologies and controllers that are well-adapted to their environments, learning is still the most efficient way to adapt to changes that occur on shorter time scales. Learning proposals for evolving robots to date have focused on new individuals either...

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Bibliographic Details
Main Authors: Alex Szorkovszky, Frank Veenstra, Kyrre Glette
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Robotics and AI
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2023.1232708/full

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