# Is MotionBricks SOTA?

Pending benchmarks. Announced Oct 23, 2026; no independent results yet.

As of Nov 3, 2026, MotionBricks is pending benchmarks on isitsota: announced Oct 23, 2026, with no independent results on the boards we track yet.

NVIDIA's open real-time motion generation model for human characters and humanoid robots. Given a character's four most recent poses and up to four target poses, it generates the movement between them; chaining generations gives continuous locomotion and object interactions. Two packages: SOMA (human skeleton) and Unitree G1 (robot). About 200M parameters each, weights on Hugging Face under the NVIDIA Open Model Agreement.

Canonical: https://isitsota.com/m/motionbricks
Last updated: 2026-10-26
Tracking since: 2026-10-26

## Announced facts

| Fact | Value |
| --- | --- |
| Lab | NVIDIA |
| Announced | Oct 23, 2026 |
| API | Not yet · None announced by NVIDIA |
| Open weights | Published · Hugging Face nvidia/MotionBricks (soma/ and g1/ folders), not gated |
| Parameters | About 200M (SOMA) and about 195M (Unitree G1), each split across a pose VQ-VAE, pose predictor and root predictor |
| Task | Pose-conditioned motion generation and inbetweening at 30 Hz; each generation is 6 to 16 tokens of four frames (about 0.6 to 1.9 s) |
| Variants | MotionBricks-SOMA-RP-v1 (30-joint SOMA human skeleton, step 1,500,000) and MotionBricks-G1-RP-v1 (34-joint Unitree G1 skeleton, step 2,000,000), FP32 SafeTensors; ONNX exports in the GitHub repo |
| Architecture | Modular latent generative model: a VQ-VAE pose tokenizer and decoder, a masked-token transformer pose predictor and a transformer root predictor that also picks the duration |
| Inputs | Skeletal-motion features and pose and root constraints only; no text, image, audio, video or scene-geometry inputs |
| Training data | Bones RigPlay 1 (RP1) motion capture: 313,526 training clips from a source corpus of about 350,000 clips and 700 hours (G1 data retargeted to the robot) |
| Robot use | Generates reference motion, not a robot controller; running it on hardware needs a separate tracking controller and safety checks |
| Code | GitHub NVlabs/motionbricks (v0.2.0): TensorRT runtime on Warp and Newton, Inbetweener and Scene Preview demos, primitive and scene editors, ONNX exporter; no training pipeline |
| Earlier release | The G1 weights first shipped as a preview in NVlabs/GR00T-WholeBodyControl; the SOMA model is new in this release |
| License | NVIDIA Open Model Agreement for the weights (commercial use permitted); code Apache 2.0; bundled sample motions under the NVIDIA Sample Data Evaluation License |

Tags marked unsure are not stated on the lab's own pages.

## What would let us call it

Verdicts use only independent boards we already track. Two consecutive snapshots are required before any crown.

- [x] Publicly announced with a source
- [x] Usable by the public (API or weights)
- [ ] Listed on an independent board we track
- [ ] Enough results for a rank in a category
- [ ] Holds across two snapshots (crowns only)

## What the lab claims

Self-reported. Shown for context; not used in any verdict.

- Lab claim: 15,000 FPS and 2 ms latency, covering over 350,000 motion skills with a single neural backbone (project page).
- Lab claim: applies to new downstream tasks zero-shot, with no fine-tuning or task-specific tagging, through its Smart Primitives interface.

## Sources

- REPO: [nvidia/MotionBricks on Hugging Face](https://huggingface.co/nvidia/MotionBricks) (2026-10-23)
- REPO: [NVlabs/motionbricks on GitHub](https://github.com/NVlabs/motionbricks) (2026-10-23)
- LAB: [MotionBricks project page (NVlabs)](https://nvlabs.github.io/motionbricks/)
- PAPER: [MotionBricks paper (arXiv 2604.24833)](https://arxiv.org/abs/2604.24833)
- REPO: [MotionBricks G1 preview in NVlabs/GR00T-WholeBodyControl](https://github.com/NVlabs/GR00T-WholeBodyControl/tree/main/motionbricks)
- PRESS: [Alvaro Bartolome (Hugging Face) post on X](https://x.com/alvarobartt/status/2114720297584574829) (2026-10-26)
- PRESS: [HuggingPapers post on X](https://x.com/HuggingPapers/status/2114731481906208811) (2026-10-26)

Tracking continues until an independent board lists it.

## Related

- Lab: [NVIDIA](https://isitsota.com/labs/nvidia.md)
- All pending releases: https://isitsota.com/releases.md
- JSON: https://api.isitsota.com/v1/models/motionbricks