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Achieving a staggering 96.5% human acceptance rate, EmbodiedGen V2 transforms how we create and utilize 3D environments for embodied AI training.
HoloAgent-0 transforms how robots interpret and act on language instructions, enabling seamless execution of complex tasks in real-world settings.
Achieving high-fidelity 3D scene reconstruction from monocular video, ManiSplat enables robots to interact with their environments in a more controllable and realistic manner.
Forget painstakingly aligning objects in 3D scene generation; 3D-Fixer uses fragmented geometry as a spatial anchor, boosting accuracy while keeping things efficient.
Forget painstakingly designing simulation environments: generative 3D world models let you RL-fine-tune robot VLAs with massive scene diversity, boosting real-world transfer by 3x.
