2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.RO2023
Sim-to-Real Learning for Humanoid Box Loco-Manipulation
Jeremy Dao, Helei Duan, Alan Fern
In this work we propose a learning-based approach to box loco-manipulation for a humanoid robot. This is a particularly challenging problem due to the need for whole-body coordinat…
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…