Author

Yonggen Ling

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#machine learning Feb 2026

Universal Pose Pretraining for Generalizable Vision-Language-Action Policies

Pose-VLA is proposed, a decoupled paradigm that separates VLA training into a pre-training phase for extracting universal 3D spatial priors in a unified camera-centric space, and a post-training phase for efficient embodiment alignment within robot-specific action space.

Haitao Lin, Hanyang Yu, Jingshun Huang et al. · Robotics · 11 citations

Jul 2026

Hy-Embodied-VLM-1.0: Efficient Physical-World Agents

The model achieves the best performance among similarly sized models on 19 of the 38 benchmarks and substantially outperforms strong competitors, including Qwen3.6-A3B and Cosmos 3.5 MoT-2B, and demonstrates strong performance on embodied agentic tasks requiring multi-turn interaction and long-horizon reasoning.

Ziyi Wang, Xu-Min Yu, Yongming Rao et al. · arXiv.org · 6 citations