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20232026
most citedAligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI

13 citations · 18 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

PhysAlign: A Benchmark for Evidence-Grounded Role Alignment in Multimodal Physics Reasoning

Kecheng Liang, Haoyang Liu, Zexin Chen +5

A key challenge in physics diagram understanding is correctly associating visual information with the physical entities, relations, and conditions it describes. Even when a value,…

cs.AI2026

World Agent: Can Language Models Keep a World Running?

Weixing Chen, Weipeng Zhang, Nan An +2

World models are moving from generating realistic frames to generating playable worlds, yet whether a delivered world can keep running is not tested anywhere. Existing evaluations…

cs.CV2026

GAUGE: Group-Wise View-Inconsistency Rectification for Feed-Forward 4D Tracking

Zhuoqian Feng, Weixing Chen, Ziliang Chen +2

Feed-forward models regress dense 3D point trajectories directly from monocular video, yet the residual after global alignment is substantial and lacks a structural explanation. Me…

cs.RO2026

PhyAgentOS: A Self-Evolving Operating System for Embodied Agents with Decoupled Cognitive Planning and Physical Execution

Yang Liu, Weixing Chen, Xinshuai Song +8

Vision-language-action models, world models, and agentic planners each advance physical intelligence, yet their composition lacks a common execution abstraction, shared state, sema…

cs.RO2026

Uncovering Linguistic Fragility in Vision-Language-Action Models via Diversity-Aware Red Teaming

Baoshun Tong, Haoran He, Ling Pan +2

Vision-Language-Action (VLA) models have achieved remarkable success in robotic manipulation. However, their robustness to linguistic nuances remains a critical, under-explored saf…

cs.CV2026

DDP-WM: Disentangled Dynamics Prediction for Efficient World Models

Shicheng Yin, Kaixuan Yin, Weixing Chen +3

World models are essential for autonomous robotic planning. However, the substantial computational overhead of existing dense Transformerbased models significantly hinders real-tim…