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Visible to the public Learning to Walk: Optimal Gait Synthesis and Online Learning for Terrain-Aware Legged Locomotion

The goal of the proposed research is to advance the science of cyber-physical systems by more explicitly tying sensing, perception, and computing to the optimization and control of physical systems whose properties are variable and uncertain. The CPS platform to be studied is that of a bipedal robot locomoting over granular ground material with uncertain physical properties (sand, gravel, dirt, etc.).

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Visible to the public Robotic Jumping on Granular Media

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Visible to the public Optimizing Robotic Jumping on Granular Media

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Visible to the public Paused intrusions improve robot jumping performance in granular media

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Visible to the public Manipulation of grain-scale mechanics improves robot jumping performance