1 citations · 1 across the 7 of their papers we have counts for
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REAL: Robust Extreme Agility via Spatio-Temporal Policy Learning and Physics-Guided Filtering
Jialong Liu, Dehan Shen, Yanbo Wen +2
Extreme legged parkour demands rapid terrain assessment and precise foot placement under highly dynamic conditions. While recent learning-based systems achieve impressive agility,…
SaferPath: Hierarchical Visual Navigation with Learned Guidance and Safety-Constrained Control
Lingjie Zhang, Zeyu Jiang, Changhao Chen
Visual navigation is a core capability for mobile robots, yet end-to-end learning-based methods often struggle with generalization and safety in unseen, cluttered, or narrow enviro…
DexFormer: Cross-Embodied Dexterous Manipulation via History-Conditioned Transformer
Ke Zhang, Lixin Xu, Chengyi Song +4
Dexterous manipulation remains one of the most challenging problems in robotics, requiring coherent control of high-DoF hands and arms under complex, contact-rich dynamics. A major…
DexSinGrasp: Learning a Unified Policy for Dexterous Object Singulation and Grasping in Densely Cluttered Environments
Lixin Xu, Zixuan Liu, Zhewei Gui +6
Grasping objects in cluttered environments remains a fundamental yet challenging problem in robotic manipulation. While prior works have explored learning-based synergies between p…