arXiv 2609.22966 · cs.RO · 2026-09-19
Transferring the Intelligence of VLMs to Robotic Control
Meng-Hao Guo, Zhe-Han Mo, Jia-Jun Wang, Yi Zhang, Kejin Wang, Yi-Xuan Deng, Jia-Peng Zhang, Yongming Rao and 1 more
Affiliation unverified
In latest · #121 2026-W39 #10 Added on 2026-10-21
One-line takeaway
RoboDawn exposes robot control as simple discrete commands to an agentic VLM, testing whether digital intelligence transfers to the physical world.
RoboDawn 用一组简单的离散平移、旋转和夹爪命令,让视觉语言 Agent 直接控制机器人,检验数字智能能否迁移到物理世界。
Read on arXiv PDF Hugging Face discussion
Topics & disciplines
More on Robotics & embodied AI
- Has GPT-6-Astra Achieved Embodied Intelligence? ▲459
- In-Context Learning for Robots: Methods and Applications ▲388
- HexaShell: A Thin Harness for Exploring the Limits of VLM Agents as Robot Coding Agents ▲313
- GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives ▲310
- Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience ▲179
About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.