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cs.RO2025

End-to-End Humanoid Robot Safe and Comfortable Locomotion Policy

Zifan Wang, Xun Yang, Jianzhuang Zhao +5

The deployment of humanoid robots in unstructured, human-centric environments requires navigation capabilities that extend beyond simple locomotion to include robust perception, pr…

cs.RO2025

GLOVER++: Unleashing the Potential of Affordance Learning from Human Behaviors for Robotic Manipulation

Teli Ma, Jia Zheng, Zifan Wang +3

Learning manipulation skills from human demonstration videos offers a promising path toward generalizable and interpretable robotic intelligence-particularly through the lens of ac…

cs.RO2025

Omni-Perception: Omnidirectional Collision Avoidance for Legged Locomotion in Dynamic Environments

Zifan Wang, Teli Ma, Yufei Jia +5

Agile locomotion in complex 3D environments requires robust spatial awareness to safely avoid diverse obstacles such as aerial clutter, uneven terrain, and dynamic agents. Depth-ba…

cs.RO2025

Exploring the Limits of Vision-Language-Action Manipulations in Cross-task Generalization

Jiaming Zhou, Ke Ye, Jiayi Liu +6

The generalization capabilities of vision-language-action (VLA) models to unseen tasks are crucial to achieving general-purpose robotic manipulation in open-world settings. However…

cs.CV2025

AffordanceSAM: Segment Anything Once More in Affordance Grounding

Dengyang Jiang, Zanyi Wang, Hengzhuang Li +7

Building a generalized affordance grounding model to identify actionable regions on objects is vital for real-world applications. Existing methods to train the model can be divided…