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The Hong Kong University of Science and Technology
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Robotic recovery is now 74-93% faster by triggering corrections from action proposal disagreement and using efficient visual residuals, not slow VLM reasoning.
Robot policies can now test and refine manipulation plans entirely within a learned visual simulator across ten distinct embodiments, gaining up to 21.4 percentage points in task success without any target-domain fine-tuning.
StreamMind's innovative architecture not only enhances long-horizon video understanding but also slashes query-to-answer latency, setting a new standard for multimodal agent performance.
