NVIDIA Open-Sources MotionBricks: 350K Motion Clips, 15,000 FPS Character Animation Control
NVIDIA recently open-sourced MotionBricks, a project that tackles complex character motion control with a single neural network model, eliminating the need for hand-crafted state machines and transitions. It's already integrated into the GR00T humanoid robotics initiative.
Introduction
Smooth character animation transitions have long been a pain point in 3D game and virtual world development. When a character needs to walk, turn, sit, jump, pick up objects, and perform a sequence of actions, animators traditionally have to craft大量的 transition animations by hand and wire them up with complex state machines. As the number of action types grows, maintaining those state machines becomes exponentially harder.
To address this, NVIDIA recently open-sourced a research project called MotionBricks. It uses a single neural network model to handle all motion control tasks, skipping the tedious manual transition workflow and making character animation generation as simple and intuitive as stacking blocks.
Here's the official MotionBricks demo video:
Real-time motion generation and control with NVIDIA MotionBricks
Core Highlights: One Open Model, 350,000+ Clips, 15,000 FPS
MotionBricks has a straightforward design philosophy: simplify motion control for 3D characters and robots through a large-scale generative model. The official one-line summary says it all:
"One open model. 350,000+ motion clips. 15,000 FPS."
Key technical features include:
- Single model for complex motion: MotionBricks combines a large-scale latent backbone with intuitive "Smart Primitives" to smoothly synthesize diverse motion trajectories without needing to fine-tune the model for each type of action.
- Massive motion dataset: The model was trained on over 350,000 motion clips covering a wide range of scenarios — walking, running, crouch-shooting, collision knockdowns, stepping over obstacles, picking up weapons, and even sitting on a bench.
Integration with the GR00T Humanoid Robotics Project
MotionBricks isn't just for game development and 3D animation — remarkably, its motion generation technology has already been integrated into NVIDIA's humanoid robotics research initiative, GR00T (GR00T-WholeBodyControl).
In robotics, achieving real-time whole-body coordination on complex terrain is a major challenge. With MotionBricks' Smart Primitives, humanoid robots (such as the Unitree G1 used in the demo) can react with highly nuanced, fluid, and physically plausible obstacle avoidance and dynamic balance adjustments — whether they're hit by sudden collisions, climbing stairs, or performing grasping tasks.
The team has publicly released the SIGGRAPH 2026 paper, the project page, and a preview demo.