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PAIWorld resolves critical multi-view inconsistencies in robotic manipulation, outperforming existing models and unlocking new applications in the process.
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.
