198 citations · 324 across the 11 of their papers we have counts for
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cs.RO2023★ 1 cited
Identifying Important Sensory Feedback for Learning Locomotion Skills
Wanming Yu, Chuanyu Yang, Christopher McGreavy +5
Robot motor skills can be learned through deep reinforcement learning (DRL) by neural networks as state-action mappings. While the selection of state observations is crucial, there…
cs.RO2023
Learning Quadruped Locomotion using Bio-Inspired Neural Networks with Intrinsic Rhythmicity
Chuanyu Yang, Can Pu, Tianqi Wei +2
Biological studies reveal that neural circuits located at the spinal cord called central pattern generator (CPG) oscillates and generates rhythmic signals, which are the underlying…
cs.RO2023
A General Mobile Manipulator Automation Framework for Flexible Manufacturing in Hostile Industrial Environments
Can Pu, Chuanyu Yang, Jinnian Pu +1
To enable a mobile manipulator to perform human tasks from a single teaching demonstration is vital to flexible manufacturing. We call our proposed method MMPA (Mobile Manipulator…