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20182022
most citedIterative Reinforcement Learning Based Design of Dynamic Locomotion Skills for Cassie

63 citations · 64 across the 7 of their papers we have counts for

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12 papers · 1 filter

cs.RO2022

Learning Dynamic Bipedal Walking Across Stepping Stones

Helei Duan, Ashish Malik, Mohitvishnu S. Gadde +3

In this work, we propose a learning approach for 3D dynamic bipedal walking when footsteps are constrained to stepping stones. While recent work has shown progress on this problem,…

cs.RO2022

Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads

Jeremy Dao, Kevin Green, Helei Duan +2

Recent work on sim-to-real learning for bipedal locomotion has demonstrated new levels of robustness and agility over a variety of terrains. However, that work, and most prior bipe…

cs.RO2022

Motion Planning for Agile Legged Locomotion using Failure Margin Constraints

Kevin Green, John Warila, Ross L. Hatton +1

The complex dynamics of agile robotic legged locomotion requires motion planning to intelligently adjust footstep locations. Often, bipedal footstep and motion planning use mathema…

cs.RO2022

Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking

Helei Duan, Ashish Malik, Jeremy Dao +5

Recently, work on reinforcement learning (RL) for bipedal robots has successfully learned controllers for a variety of dynamic gaits with robust sim-to-real demonstrations. In orde…

cs.RO2021

Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning

Jonah Siekmann, Kevin Green, John Warila +2

Accurate and precise terrain estimation is a difficult problem for robot locomotion in real-world environments. Thus, it is useful to have systems that do not depend on accurate es…

cs.RO2020

Learning Task Space Actions for Bipedal Locomotion

Helei Duan, Jeremy Dao, Kevin Green +3

Recent work has demonstrated the success of reinforcement learning (RL) for training bipedal locomotion policies for real robots. This prior work, however, has focused on learning…