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Hao Zheng

4 papers indexed

arxivcs.CV2026-07-12

Compositional Context Fine-Tuning Vision-Language Model for Complex Assembly Action Understanding from Videos

Hao Zheng, Jinyi Huang, Tiantian Zheng, Xun Xu, Tuka Alhanai

Assembly action understanding is a key enabler for effective human-robot collaborative assembly, yet it remains challenging due to subtle motions and fine-grained hand-object interactions. We adapt vision-language models (VLMs) to this challenging domain with Compositional Contex…

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arxivcs.ROeess.SY2026-07-01

Neuro-Symbolic Safety Guidance for Vision-Language-Action Models via Constrained Flow Matching

William English, Hao Zheng, Rickard Ewetz

Vision-Language-Action (VLA) models have demonstrated promising generalization capabilities across robotic manipulation tasks, yet their real-world deployment remains limited by the lack of effective safety measures. Specifically, existing safety measures only prevent collisions…

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arxiveess.SP2026-07-01

Measurement-Based Characterization and Statistical Modeling of 6G Urban Low-Altitude A2G Channels across FR1 and FR3

Bin Ao, Jianhua Zhang, Pan Tang, Peijie Liu, Boyang He, Hao Zheng

Unmanned aerial vehicle (UAV) communications have been recognized as a key component of future sixth-generation (6G) space-air-ground-sea integrated networks. Accurate characterization and modeling of air-to-ground (A2G) channels are essential for the design and optimization of l…

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crossrefWater2024-11-05Cited by 5

Machine Learning Based Inversion of Water Quality Parameters in Typical Reach of Rural Wetland by Unmanned Aerial Vehicle Images

Na Zeng, Libang Ma, Hao Zheng, Yihui Zhao, Zhicheng He, Susu Deng, et al.

Rural wetlands are complex landscapes where rivers, croplands, and villages coexist, making water quality monitoring crucial for the well-being of nearby residents. UAV-based imagery has proven effective in capturing detailed features of water bodies, making it a popular tool for…

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