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Yesh Godse

2 accepted papers

2021

Learning Spring Mass Locomotion: Guiding Policies With a Reduced-Order Model

RA-L 2021

In this letter, we describe an approach to achieve dynamic legged locomotion on physical robots which combines existing methods for control with reinforcement learning. Specifically, our goal is a control hierarchy in which highest-level behaviors are planned through reduced-order models, which desc

Cited by 62SourceScholar
2021

Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition

ICRA 2021poster

We study the problem of realizing the full spectrum of bipedal locomotion on a real robot with sim-to-real reinforcement learning (RL). A key challenge of learning legged locomotion is describing different gaits, via reward functions, in a way that is intuitive for the designer and specific enough t…

Cited by 200SourceScholar