Claude Fable 5.2 Tops Dual-Arm Robotics Benchmark Without Task-Specific Training

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Anthropic's general-purpose model Claude Fable 5.2 reportedly scored a 64.9% average success rate on the RoboDojo dual-arm manipulation benchmark, up from 27.6% for its predecessor and ahead of Opus 5.5 and GPT-6 Astra. Rather than relying on a dedicated robot policy, the model plans actions directly from camera input, reasoning about the scene and adjusting when grips slip or objects shift. Official real-robot demonstrations reportedly included solving a Rubik's cube, unscrewing a bottle cap, and drawing with a pen, none of which the model was specifically trained on. The company also says the model handled hardware design tasks, producing PCB layouts, enclosure models and firmware for three working devices. The benchmark is simulated, and the model depends on clear visual input and existing robot controllers for low-level motor control.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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