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Predicting soft robot's locomotion fitness

Renata B. Biazzi, André Fujita, Daniel Y. Takahashi

发表年份
2021
引用次数
2

摘要

Organisms with different body morphology and movement dynamics have distinct abilities to move through the environment. Despite such truism, there is a lack of general principles that predict which shapes and dynamics make the organisms more fit to move. Studying a minimal yet embodied soft robot model under the influence of gravity, we find three features that predict robot locomotion fitness: (1) A larger body is better. (2) Two-point contact with the ground is better than one-point contact. (3) Out-of-phase oscillating body parts increase locomotion fitness. These design principles can guide the selection rules for evolutionary algorithms to obtain robots with higher locomotion fitness.

关键词

RobotComputer sciencePoint (geometry)Artificial intelligenceSimulationMathematics

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