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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.
Joint image-depth generation can be achieved with a single model trained on sparse data, outperforming existing methods by a significant margin.
