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20242026
most citedEPMF: Efficient Perception-aware Multi-sensor Fusion for 3D Semantic Segmentation

44 citations · 44 across the 12 of their papers we have counts for

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17 papers · 1 filter

cs.RO2026

ViTacPhys: Physical Property-Aware Grasping from Human Visual-Tactile Demonstrations

Yiwen Liu, Yujun Zhu, Kui Jia +3

Recent vision-based action models have demonstrated strong capabilities in complex manipulation, but they rarely leverage explicit object physical properties to adapt their policie…

cs.RO2026

Vid2WAM: Distilling Video Diffusion Priors into World Action Models

Chenhao Qiu, Ruixiang Wang, Runyi Zhao +7

World Action Models (WAMs) improve robot policy learning by jointly modeling future visual dynamics and actions. However, their scalability and generalization remain constrained by…

cs.RO2026

BiNoMaP: Learning Category-Level Bimanual Non-Prehensile Manipulation Primitives

Huayi Zhou, Kui Jia

Non-prehensile manipulation, encompassing ungraspable actions such as pushing, poking, pivoting, and wrapping, remains underexplored due to its contact-rich and analytically intrac…

cs.RO2026

Dexterity-BEV: Aligning 3D World and Actions for Generalizable Robot Policies Learning

Huayi Zhou, Wei Gao, Dekun Lu +12

End-to-end manipulation policies, combined with web-scale pretrained Vision-Language Models (VLMs), show the promise for generalizable and dexterous robotic manipulation. However,…

cs.RO2026

From Reaction to Anticipation: Proactive Failure Recovery through Agentic Task Graph for Robotic Manipulation

Sheng Xu, Ruixing Jin, Huayi Zhou +6

Although robotic manipulation has made significant progress, reliable execution remains challenging because task failures are inevitable in dynamic and unstructured environments. T…

cs.RO2026

VLBiMan: Vision-Language Anchored One-Shot Demonstration Enables Generalizable Bimanual Robotic Manipulation

Huayi Zhou, Kui Jia

Achieving generalizable bimanual manipulation requires systems that can learn efficiently from minimal human input while adapting to real-world uncertainties and diverse embodiment…