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LLMs can now generate simulation-ready articulated 3D assets from incomplete scans, achieving state-of-the-art reconstruction and enabling robust real-to-sim transfer.
Real-world robots can now learn faster and require drastically less human help by adaptively deciding *when* and *how* to be assisted, rather than relying on fixed rules.
Robots can now learn from physical failures in real-time, autonomously revising their own capabilities to achieve unprecedented long-horizon manipulation success.
