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Photorealistic simulation with Gaussian Splatting and drivable avatars closes the reality gap, enabling embodied agents to learn human-aware navigation policies that generalize better to the real world.
Reconstructing and simulating wind-driven dynamics from video is now possible with a new differentiable framework that enforces fluid dynamics laws.
LLMs can now tackle complex industrial multi-robot tasks, outperforming existing methods by combining LLM-driven planning with deterministic solvers and process-tree guided code generation.
