Evolving soft locomotion in aquatic and terrestrial environments: effects of material properties and environmental transitions
Francesco Corucci, Nick Cheney, Francesco Giorgio-Serchi, Josh Bongard, and Cecilia Laschi

TL;DR
This study uses evolutionary algorithms to investigate how material properties and environmental transitions influence the morphology and locomotion of soft robots in aquatic and terrestrial settings, revealing key effects on performance and adaptation.
Contribution
It introduces a comprehensive evolutionary framework for soft robot design and explores the impact of material properties and environment changes on soft locomotion evolution.
Findings
Stiffer robots evolve better on land with sophisticated gaits.
Softer robots perform better in aquatic environments.
Environmental transitions can induce morphological exaptation phenomena.
Abstract
Designing soft robots poses considerable challenges: automated design approaches may be particularly appealing in this field, as they promise to optimize complex multi-material machines with very little or no human intervention. Evolutionary soft robotics is concerned with the application of optimization algorithms inspired by natural evolution in order to let soft robots (both morphologies and controllers) spontaneously evolve within physically-realistic simulated environments, figuring out how to satisfy a set of objectives defined by human designers. In this paper a powerful evolutionary system is put in place in order to perform a broad investigation on the free-form evolution of walking and swimming soft robots in different environments. Three sets of experiments are reported, tackling different aspects of the evolution of soft locomotion. The first two sets explore the effects of…
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