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Techniques for refining base model weights using modular task-specific data adapters.
Distinct from Model Checkpointing: Focuses on adapting weights for specific robot platforms, whereas Model Checkpointing focuses on general persistence.
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OpenPi is a vision-language-action robot control framework designed to generate physical control actions for robotic systems. It functions as a distributed robot model trainer, a model format converter, and a robot action streaming server. The framework provides tools for transforming model checkpoints between different framework formats to ensure interoperability across various development environments. It also includes a server that uses websocket connections to stream model-generated control actions from remote inference servers to physical robot hardware in real-time. The system supports
Enables the adaptation of general base models to specific robot platforms using modular checkpoint updates.