Robots are going to do many of our household chores in the future. They will need to be able to adapt to homes they have not seen before. π0.5 aims to help with that. It is a vision language action model that uses “co-training
on heterogeneous tasks to enable broad generalization.” It uses data from multiple robots, web data, and other sources for generalization of robotic manipulation.
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π0.5: a VLA with Open-World Generalization
This model is great for robotic planning and control, capable of performing multi-stage tasks. It was deployed in real-homes for tasks like laundry sorting and dish placement. This model outperforms π0 and π0-FAST+Flow models in interpreting novel language commands.
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