most citedDynamic Bipedal Maneuvers through Sim-to-Real Reinforcement Learning

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2022★ 2 cited

Dynamic Bipedal Maneuvers through Sim-to-Real Reinforcement Learning

Fangzhou Yu, Ryan Batke, Jeremy Dao +3

For legged robots to match the athletic capabilities of humans and animals, they must not only produce robust periodic walking and running, but also seamlessly switch between nomin…

cs.RO2022★ 1 cited

Optimizing Bipedal Maneuvers of Single Rigid-Body Models for Reinforcement Learning

Ryan Batke, Fangzhou Yu, Jeremy Dao +4

In this work, we propose a method to generate reduced-order model reference trajectories for general classes of highly dynamic maneuvers for bipedal robots for use in sim-to-real r…