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 observed · 2026-08-28
Health v2 · maintenance only
61/100
- Activity 98
- Release rhythm 35
- Longevity 21
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 301
- days_rel: n/a
- days_push: 12
- n_releases_24m: 0
Adoption not part of the score
3428 stars · 536 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
NVIDIA's unified platform for developing, training, and deploying whole-body controllers for humanoid robots, including the decoupled WBC models used in Isaac-GR00T N1.5/N1.6 and the GEAR-SONIC controller series. It provides model checkpoints, training and evaluation scripts, teleoperation support, and a C++ inference stack for deployment.
Use cases
- train a humanoid whole-body controller with reinforcement learning
- deploy a whole-body controller on a Unitree G1 robot
- collect teleoperation data for VLA fine-tuning
- run whole-body teleoperation with a low-latency controller
- fine-tune Isaac-GR00T N1.7 and deploy with SONIC control
- evaluate humanoid locomotion controllers in Isaac Lab
- generate text-to-motion for animation and robotics
When to choose
- you are working with humanoid robots and need state-of-the-art whole-body control
- you want to train or fine-tune controllers for the Isaac-GR00T VLA pipeline
- you need RL-based lower-body control combined with upper-body IK
- you want pretrained humanoid controller checkpoints to deploy or study
When to avoid
- you need controllers for non-humanoid robots like arms or quadrupeds
- you want a lightweight simulation-only project without GPU requirements
- you need a general-purpose robotics middleware rather than humanoid WBC
- you cannot use NVIDIA Isaac Lab / Isaac Sim infrastructure
Facets
framework · maturity active
machine-learning reinforcement-learning simulation robotics llm-training robotics machine-learning simulation artificial-intelligence python humanoid-robots whole-body-control reinforcement-learning teleoperation vla isaac-lab motion-control model-checkpoints linux gpu docker
2 sources
- readme: https://github.com/NVlabs/GR00T-WholeBodyControl · fetched 2026-08-28 · 3e122e258203
- homepage: https://nvlabs.github.io/GR00T-WholeBodyControl/ · fetched 2026-08-29 · 3247b94c9fb7
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| NVlabs/GR00T-WholeBodyControl | main | 61 |
For agents
markdown · JSON · MCP: product_card(name="NVlabs/GR00T-WholeBodyControl")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem