control

Transferring the Intelligence of VLMs to Robotic Controlarxiv.org

RoboDawn lets a vision‑language model (VLM) drive a robot via a tiny discrete command set (translate/rotate/gripper). Using a few in‑context demos, the VLM learns the interface and task strategy, then runs closed‑loop: observe image → reason → act → re‑observe. On the RoboTwin 2.0 C2R benchmark RoboDawn hits 53.2 % success zero‑shot, 73.6 % with one demo (vs. 46 % baseline). On RoboDojo it goes f…