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A new structured representation for manipulation tasks reveals critical labeling anomalies that traditional methods miss, enhancing both readability and verification.
A $14K bimanual robot with a Python-first control framework could democratize embodied AI research by lowering the barrier to entry for complex manipulation tasks.
