GEN-0 is Generalist's predecessor embodied foundation-model generation, trained on large-scale real-world manipulation data and designed to transfer across robot embodiments.
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GEN-0 is Generalist’s embodied foundation-model generation for multimodal training on raw physical interaction. Harmonic Reasoning interleaves asynchronous, continuous-time streams of sensing and acting tokens, allowing the model to coordinate perception and control across different robot embodiments.
Generalist tested GEN-0 on 6-DoF, 7-DoF and 16-plus-DoF semi-humanoid robots and scaled the family beyond 10 billion parameters. The company reports pretraining on more than 270,000 hours of real-world manipulation data spanning homes, warehouses and workplaces, with downstream tasks including assembly, packing, clothing handling and food preparation.