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Achieving 82.9% success in articulated object manipulation with only half the data, KAI redefines efficiency in robotic learning.
CameraAnything enables filmmakers to reshoot videos with arbitrary camera angles and focal lengths in a single generation, revolutionizing video editing workflows.
Coordinated scaling of Behavior Foundation Models can enhance humanoid robot control performance, achieving up to 82% error reduction in real-world tasks.
A single unified model can outperform specialized systems across various computer vision tasks, all without the need for custom architectures.
Bimanual robots can now achieve robust dexterous grasping in the real world, thanks to a massive 20M-frame synthetic dataset and a simple attention-based policy that transfers surprisingly well.