activity
20172025
most citedMulti-expert learning of adaptive legged locomotion

198 citations · 324 across the 11 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.RO2020★ 198 cited

Multi-expert learning of adaptive legged locomotion

Chuanyu Yang, Kai Yuan, Qiuguo Zhu +2

Achieving versatile robot locomotion requires motor skills which can adapt to previously unseen situations. We propose a Multi-Expert Learning Architecture (MELA) that learns to ge…

cs.RO2020★ 54 cited

Learning natural locomotion behaviors for humanoid robots using human knowledge

Chuanyu Yang, Kai Yuan, Shuai Heng +2

This paper presents a new learning framework that leverages the knowledge from imitation learning, deep reinforcement learning, and control theories to achieve human-style locomoti…

cs.RO2020★ 4 cited

Reaching, Grasping and Re-grasping: Learning Multimode Grasping Skills

Wenbin Hu, Chuanyu Yang, Kai Yuan +1

The ability to adapt to uncertainties, recover from failures, and coordinate between hand and fingers are essential sensorimotor skills for fully autonomous robotic grasping. In th…

cs.RO2020★ 2 cited

Learning Pregrasp Manipulation of Objects from Ungraspable Poses

Zhaole Sun, Kai Yuan, Wenbin Hu +2

In robotic grasping, objects are often occluded in ungraspable configurations such that no pregrasp pose can be found, eg large flat boxes on the table that can only be grasped fro…

cs.RO2020★ 21 cited

Learning Whole-body Motor Skills for Humanoids

Chuanyu Yang, Kai Yuan, Wolfgang Merkt +3

This paper presents a hierarchical framework for Deep Reinforcement Learning that acquires motor skills for a variety of push recovery and balancing behaviors, i.e., ankle, hip, fo…