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Xiao-Gang Wang

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Preprint Oct 2026

OmniDex: Scaling Dexterous Hand Grasping to Diverse Cluttered Scenes

Dexterous grasping is the foundational primitive in embodied AI, demanding massive data to train robust models. As real-world data collection is expensive, simulation has become the mainstream paradigm. Yet, while cluttered scenes best reflect real-world applications, learning to grasp within them is bottlenecked by a...

N. Fang, Zhong-Jin Luo, Yu-Xin Mo et al. · 0 citations

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