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A 0.2B-parameter VLA model rivals much larger baselines in robotic manipulation, enabling low-latency on-device deployment.
Robots can now learn complex manipulation skills entirely in simulation, thanks to a compositional world model that accurately predicts future states and evaluates progress, leading to a 35-45% performance boost in real-world tasks.
