NVIDIA just open-sourced MotionBricks, a real-time motion generation model for digital characters and humanoid robots. By feeding it a handful of target poses, it instantly connects the dots to generate smooth transitions and object interactions without retraining. Pretrained models for human skeletons and the Unitree G1 robot are ready to run on GitHub.
NVIDIA just unveiled MotionBricks, a unified motion generation framework that hits 15,000 FPS with just 2ms latency on a single neural backbone. It handles over 350,000 motion skills, animating Unreal Engine 5 characters and directly controlling physical Unitree G1 humanoid robots without task retraining. Why it matters: It bridges the long-standing gap between game animation and real-world robotics with one shared brain, and early preview code is already on GitHub.
