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Morphological Modularity Can Enable the Evolution of Robot Behavior to Scale Linearly with the Number of Environmental Features.

, , , , and . Frontiers Robotics AI, (2016)

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Making Evolution an Offer It Can't Refuse: Morphology and the Extradimensional Bypass., and . ECAL, volume 2159 of Lecture Notes in Computer Science, page 401-412. Springer, (2001)Guarding against premature convergence while accelerating evolutionary search., and . GECCO, page 111-118. ACM, (2010)Morphological change in machines accelerates the evolution of robust behavior.. Proc. Natl. Acad. Sci. USA, 108 (4): 1234-1239 (2011)Improving Robot Behavior Optimization by Combining User Preferences., , and . ALIFE, page 973-980. MIT Press, (2014)Evolving modular genetic regulatory networks.. IEEE Congress on Evolutionary Computation, page 1872-1877. IEEE, (2002)Evolving programmable computational metamaterials., , , , , and . GECCO, page 122-129. ACM, (2022)Subtract to Adapt: Autotomic Robots., , , , and . RoboSoft, page 1-6. IEEE, (2023)Morphological Modularity Can Enable the Evolution of Robot Behavior to Scale Linearly with the Number of Environmental Features., , , , and . Frontiers Robotics AI, (2016)Automated shapeshifting for function recovery in damaged robots., , , , , and . CoRR, (2019)Interoceptive robustness through environment-mediated morphological development., , , and . GECCO, page 109-116. ACM, (2018)