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TorqueAGI says most robotics AI is just adding robot data to language or vision models

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TorqueAGI's founder says most robotics AI is just adding robot data to language or vision models; the company instead is building a "world reasoning model" intelligence layer for industrial robots and heavy machinery, and does not produce its own hardware. The model represents objects, machines and workflows as spatiotemporal graphs, and incorporates physics and geometry into reasoning. The company says new tasks typically require only a few dozen examples rather than tens of thousands; but the model must first be validated in simulation and during supervised operation at customer sites before it can operate unattended. The same model has already run on single-arm and dual-arm robots, mobile platforms, scissor lifts, humanoid robots and tractors, while body-specific details still need to be described machine by machine.

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  1. Interview with TorqueAGI founder: Most robot AI is just a language or vision model with robot data added

    TorqueAGI is providing a "world reasoning model" intelligence layer for industrial robots and heavy machinery rather than developing its own hardware. The model represents objects, machines, and workflows as spatiotemporal graphs and incorporates physics and geometry into its reasoning. The company says new tasks typically require only dozens of examples rather than tens of thousands, and must be validated in simulation and in supervised operation at customer sites before unattended operation is possible. The same model has already run on single-arm and dual-arm robots, mobile platforms, scissor lifts, humanoid robots, and tractors, while details specific to each machine body still need to be described per machine.

    Robotics & Automation News ·

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