23 citations · 24 across the 2 of their papers we have counts for
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cs.RO2023★ 23 cited
Benchmarking Potential Based Rewards for Learning Humanoid Locomotion
Se Hwan Jeon, Steve Heim, Charles Khazoom +1
The main challenge in developing effective reinforcement learning (RL) pipelines is often the design and tuning the reward functions. Well-designed shaping reward can lead to signi…
cs.RO2022★ 1 cited
Humanoid Self-Collision Avoidance Using Whole-Body Control with Control Barrier Functions
Charles Khazoom, Daniel Gonzalez-Diaz, Yanran Ding +1
This work combines control barrier functions (CBFs) with a whole-body controller to enable self-collision avoidance for the MIT Humanoid. Existing reactive controllers for self-col…