NVlabs/GR00T-WholeBodyControl
Welcome to GR00T Whole-Body Control (WBC)! This is a unified platform for developing and deploying advanced humanoid controllers. This includes: Decoupled WBC models used in NVIDIA Isaac-Gr00t, Gr00t N1.5 and N1.6 and GEAR-SONIC
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 19 contributors on GitHub.
Peaked at #53 in the weekly ranking the week of Mar 1, its best in the past year.
Use Cases & Benefits
- Provides a unified platform for developing, training, evaluating, and deploying advanced whole-body humanoid robot controllers.
- Enables natural, scalable whole-body motion control using a single unified policy trained on large-scale human motion data.
- Use for real-time humanoid robot teleoperation with VR headsets to transfer natural human motions to robots.
- Use for deploying pretrained humanoid motor skill models on real hardware via a C++ inference stack.
- Use for generating diverse whole-body locomotion styles and behaviors with an integrated kinematic planner.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Other
GitHub could not identify this license; read the LICENSE file before depending on it.
Community files
- README: present
- Contributing guide: present
Watch-outs
- License not identified by GitHub; read the LICENSE file before depending on it.
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
SONIC is a humanoid behavior foundation model that gives robots a core set of motor skills learned from large-scale human motion data. Rather than building separate controllers for predefined motions, SONIC uses motion tracking as a scalable training task, enabling a single unified policy to produce natural, whole-body movement and support a wide range of behaviors — from walking and crawling to teleoperation and multi-modal control. It is designed to generalize beyond the motions it has seen during training and to serve as a foundation for higher-level planning and interaction.
In this repo, we will release SONIC's training code, deployment framework, model checkpoints, and teleoperation stack for data collection.
SONIC supports real-time whole-body teleoperation via PICO VR headset, enabling natural human-to-robot motion transfer for data collection and interactive control.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+784 stars over 86 days across 8 snapshot days; best day +11 on Aug 12.
Forks
626+149
Open issues
72-12
Compared with peers in Backend
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| anthropics/skills | 187.8K | +2.9K | 15 | — |
| DuarteSantos8/openGym | 19.7K | +2.4K | 60 | 2 days ago |
| shiyu-coder/Kronos | 47.0K | +2.3K | 16 | — |
| NationalSecurityAgency/ghidra | 98.2K | +2.3K | 64 | 14 days ago |
| microsoft/VibeVoice | 56.0K | +1.1K | 29 | — |
| NVlabs/GR00T-WholeBodyControl | 3.8K | — | 22 | — |
| Category median | 56.0K | +2.3K | 29 | — |
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