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20142026
most citedDehazeNet: An End-to-End System for Single Image Haze Removal

3.4k citations · 6.2k across the 136 of their papers we have counts for

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Showing 2026Show all

10 papers · 1 filter

cs.RO2026

TaskAnchor: Grounding Task State in Reactive VLAs for Long-Horizon Manipulation

Hengyan Liu, Wenlve Zhou, Bo Yue +7

Reactive vision-language-action (VLA) policies suffer from task-state aliasing in long-horizon manipulation, where identical multimodal inputs call for distinct, context-dependent…

cs.RO2026

VLBiMan++: Expanding the Generalization Boundary of Vision-Language Anchored One-Shot Bimanual Manipulation

Huayi Zhou, Wei Gao, Yiyang Han +2

Generalizable bimanual robotic manipulation requires a reusable task prior that can persist across increasingly diverse tasks, objects, scenes, embodiments, and execution condition…

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

RoboSynChallenge: Mastering Real-World Dexterity via Generalizing Synthesized Manipulation Skills

Runyi Zhao, Ruixin Wu, Chengkun Li +15

Achieving generalizable robotic manipulation remains a central challenge in embodied intelligence. Despite rapid advances in model architectures and learning algorithms, progress i…

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

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,…