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via feedback, interaction and continual learning. It will explore converting human videos, simulation, web-scale data and unstructured experience into supervision and reward signals through relabelling
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constraints. The project will explore orchestrating reasoning models, vision-language models, world models and efficient control policies for reliable robot behaviour. A key focus is deciding when to deliberate
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