4 citations · 5 across the 5 of their papers we have counts for
5 papers · 1 filter
START: Traversing Sparse Footholds with Terrain Reconstruction
Ruiqi Yu, Qianshi Wang, Hongyi Li +4
Traversing terrains with sparse footholds like legged animals presents a promising yet challenging task for quadruped robots, as it requires precise environmental perception and ag…
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…
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…
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.…
Efficient Learning of Control Policies for Robust Quadruped Bounding using Pretrained Neural Networks
Zhicheng Wang, Anqiao Li, Yixiao Zheng +4
Bounding is one of the important gaits in quadrupedal locomotion for negotiating obstacles. The authors proposed an effective approach that can learn robust bounding gaits more eff…