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HarnessPAI: An Evolvable Harness Framework for Physical AI

HarnessPAI proposes a model- and embodiment-agnostic Harness framework for Physical AI that treats code as the executable, evolvable interface organizing underlying action primitives. The framework separates two timescales: within a single rollout, it executes open-loop at the program level with a fixed program guiding and checking execution; across rollouts, it evolves closed-loop, using execution feedback to revise the program and distill failures into reusable skills.

Part of the event: HarnessPAI proposes an evolvable execution framework for physical AI

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