Dongjie Zhu

Dynamic Legged Ball Manipulation on Rugged Terrains With Hierarchical Reinforcement Learning

Achieving reliable object manipulation while traversing complex terrains is the missing link between agile quadruped locomotion and practical autonomy. Specifically, using traditional end-to-end reinforcement learning (RL) for dynamic ball manipulation in rugged environments presents two key challen