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

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

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cs.RO2024

Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots

Pranay Dugar, Aayam Shrestha, Fangzhou Yu +2

A major challenge in humanoid robotics is designing a unified interface for commanding diverse whole-body behaviors, from precise footstep sequences to partial-body mimicry and joy…

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…