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20232026
most citedGeoDeformer: Geometric Deformable Transformer for Action Recognition

1 citations · 3 across the 20 of their papers we have counts for

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6 papers · 1 filter

cs.RO2025

From Watch to Imagine: Steering Long-horizon Manipulation via Human Demonstration and Future Envisionment

Ke Ye, Jiaming Zhou, Yuanfeng Qiu +4

Generalizing to long-horizon manipulation tasks in a zero-shot setting remains a central challenge in robotics. Current multimodal foundation based approaches, despite their capabi…

cs.CV2025

EgoTraj-Bench: Towards Robust Trajectory Prediction Under Ego-view Noisy Observations

Jiayi Liu, Jiaming Zhou, Ke Ye +3

Reliable trajectory prediction from an ego-centric perspective is crucial for robotic navigation in human-centric environments. However, existing methods typically assume noiseless…

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…