Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots (pos166, CS)
Margarita Alejandra Rebolledo Coy, Daan Zeeuwe, Thomas Bartz-Beielstein, A.E. Eiben
Most evolutionary robotics studies focus on evolving some targeted behavior without considering energy usage. In this paper, we extend our simulator with a battery model to take energy consumption into account in a system where robot morphologies and controllers evolve simultaneously. The results show that including the energy consumption in the fitness in a multi-objective fashion reduces the average size of robot bodies while reducing their speed. However, robots generated without size reduction can achieve speeds comparable to robots from the baseline set.
GECCO 2021
The Genetic and Evolutionary Computation Conference
July 10-14, 2021 — Lille, France (online)
https://gecco-2021.sigevo.org
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