4 citations · 5 across the 5 of their papers we have counts for
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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.RO2024★ 1 cited
Walking with Terrain Reconstruction: Learning to Traverse Risky Sparse Footholds
Ruiqi Yu, Qianshi Wang, Yizhen Wang +3
Traversing risky terrains with sparse footholds presents significant challenges for legged robots, requiring precise foot placement in safe areas. To acquire comprehensive exteroce…
cs.RO2024
Toward Understanding Key Estimation in Learning Robust Humanoid Locomotion
Zhicheng Wang, Wandi Wei, Ruiqi Yu +2
Accurate state estimation plays a critical role in ensuring the robust control of humanoid robots, particularly in the context of learning-based control policies for legged robots.…