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VLM agents can achieve state-of-the-art robotic manipulation by treating failures as coding bugs, with contact precision, not reasoning, proving the primary bottleneck.
Robots fail out-of-distribution because monolithic VLA policies hide task state and recovery logic; treating physical execution as inspectable, debuggable code enables closed-loop failure recovery and continuous self-evolution.