primitives

New Robotic Architecture AVP Improves Pick-and-Place Success Rate by 37% over Existing Models

A new research paper introduces AVP (Action with Visual Primitives), an end-to-end architecture for robotic manipulation that decouples visual-language reasoning from action generation. In real-robot pick-and-place experiments, AVP achieved a 37.04% higher success rate than the pi_0.5 baseline, with gains in data efficiency, spatial-compositional generalization, and object-level transfer.