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MIT CSAIL and Carnegie Mellon University researchers present Workspace Models, a system allowing robots to plan moves in milliseconds. The approach achieves 92% success rates on tasks, outperforming agents by 25 percentage points. Published on arXiv in 2026, the method compresses observation history into latent vectors to reduce inference costs and improve real-time responsiveness for dynamic environments.
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