CamVLA

CamVLA: Calibration-free view-robust Vision-Language-Action model for robot deployment

Researchers from Alibaba DAMO Academy introduce CamVLA, a Vision-Language-Action model that eliminates the need for explicit camera calibration during robot deployment. The model decouples manipulation controls from camera geometry by predicting camera-centric end-effector actions and a 6-DoF hand-eye matrix, composing them into robot base-frame actions via deterministic geometric transformation. Operating on a single monocular RGB image without depth or calibration data, CamVLA improves success rates across diverse unseen viewpoints in both simulation and real-world evaluations.