Author

Yongming Rao

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Preprint Sep 2026

Transferring the Intelligence of VLMs to Robotic Control

RoboDawn is investigated, a human-intuitive interface that exposes robotic control to an agentic VLM through a compact set of discrete translation, rotation, and gripper commands, and an in-context learning (ICL) scheme is introduced that ground the VLM in both interface usage and task-solving strategies.

Meng-Hao Guo, Zhe-Han Mo, Jia-Jun Wang et al. · 2 citations · ⚡2

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