activity
20202024
most citedMulti-expert learning of adaptive legged locomotion

198 citations · 206 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024

PIE: Parkour with Implicit-Explicit Learning Framework for Legged Robots

Shixin Luo, Songbo Li, Ruiqi Yu +3

Parkour presents a highly challenging task for legged robots, requiring them to traverse various terrains with agile and smooth locomotion. This necessitates comprehensive understa…

cs.RO20223 cited

RING++: Roto-translation Invariant Gram for Global Localization on a Sparse Scan Map

Xuecheng Xu, Sha Lu, Jun Wu +5

Global localization plays a critical role in many robot applications. LiDAR-based global localization draws the community's focus with its robustness against illumination and seaso…

cs.RO20225 cited

LiDAR-Inertial 3D SLAM with Plane Constraint for Multi-story Building

Jiashi Zhang, Chengyang Zhang, Jun Wu +2

The ubiquitous planes and structural consistency are the most apparent features of indoor multi-story Buildings compared with outdoor environments. In this paper, we propose a tigh…

cs.RO2020198 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

Search-based Kinodynamic Motion Planning for Omnidirectional Quadruped Robots

Pei Wang, Xiaoyu Zhou, Qingteng Zhao +2

Autonomous navigation has played an increasingly significant role in quadruped robot system. However, most existing works on quadruped robots navigation using traditional search-ba…