Author

Dong Wang

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Preprint Oct 2026

MixVLA: Adaptive Mixing of Non-Invariant Information for Generalizable Vision-Language-Action Models

Extensive experiments across challenging manipulation settings, including LIBERO, LIBERO-Plus, the RoboTwin perturbation suite, and real-world tasks, demonstrate that MixVLA improves overall zero-shot robustness while retaining strong in-domain performance.

Ping-Rui Zhang, Yu Zhang, Peng-Yuan Wu et al. · 0 citations

#artificial intelligence Mar 2026

PhyGile: Physics-Prefix Guided Motion Generation for Agile General Humanoid Motion Tracking

PhyGile performs physics-prefix-guided robot-native motion generation at inference time, directly generating robot-native motions in a 262-dimensional skeletal space with physics-guided prefixes, thereby eliminating inference-time retargeting artifacts and reducing generation-execution discrepancies.

Jiacheng Bao, Hao Yang, Yucheng Xin et al. · arXiv.org · 2 citations