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20242026
most citedWalking with Terrain Reconstruction: Learning to Traverse Risky Sparse Footholds

1 citations · 1 across the 11 of their papers we have counts for

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Showing 2026 · cs.ROShow all

5 papers · 2 filters

cs.RO2026

UniPoint: Unified Point-Level Sensor Fusion for Humanoid Locomotion Across Challenging Terrains

Sicen Li, Zhen Chu, Chao Li +2

Open-world deployment requires humanoid robots to cross highly heterogeneous terrain safely, with perception that simultaneously provides wide coverage, local accuracy, and redunda…

cs.RO2026

GUIDE: Goal-Initialized Directional Understanding for End-to-End Legged Navigation

Liang Wang, Jin Jin, KanZhong Yao +6

End-to-end reinforcement learning (RL) has shown strong potential for legged robot navigation, yet existing approaches commonly rely on continuously updated robot-to-goal states fr…

cs.RO2026

SSR: Scaling Surefooted and Symmetric Humanoid Traversal to the Open World

Ruiqi Yu, Yiwen Wang, Yuan Hao +2

Extending humanoid traversal to the open world is key to practical deployment in human environments, but remains challenging. The robot must use vision to ensure safe and reliable…

cs.RO2026

Look Forward to Walk Backward: Efficient Terrain Memory for Backward Locomotion with Forward Vision

Shixin Luo, Songbo Li, Yuan Hao +4

Legged robots with egocentric forward-facing depth cameras can couple exteroception and proprioception to achieve robust forward agility on complex terrain. When these robots walk…

cs.RO2026

PUMA: Perception-driven Unified Foothold Prior for Mobility Augmented Quadruped Parkour

Liang Wang, Kanzhong Yao, Yang Liu +4

Parkour tasks for quadrupeds have emerged as a promising benchmark for agile locomotion. While human athletes can effectively perceive environmental characteristics to select appro…