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Page 1234
First published 2 September 2013

Using novel bio-inspired principles to improve adaptability of evolutionary robots in dynamically changing environments

Yao Yao, Kathleen Marchal, Yves Van de Peer


An important goal in the field of evolutionary computation and robotics is the development of systems that show self-adaptation in dynamically changing environments. However, adaptation to a changing or fluctuating environment is challenging and usually requires a dynamic solution. Here, we present a bio-inspired, agent-based controller driven by an artificial gene regulatory network that enhances the adaptability of robots in dynamically changing environments.