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Robotics and AI Institute
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PRISM achieves up to 15% performance gains in visuomotor tasks by leveraging short-term memory, challenging the notion that immediate sensory input suffices for complex decision-making.
Robots can now perform intricate assembly tasks and recover from errors in real-time, without any training, by fusing vision-language models with video-based kinematic priors for action planning.
