RoboVerseOrg/RoboVerse
Some data may be outdated — see provenance labels.
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning observed · 2026-09-27
Health v2 · maintenance only
65/100
- Activity 96
- Release rhythm 40
- Longevity 40
Flags: prerelease_only
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 20
- age_days: 565
- days_rel: 415
- days_push: 28
- n_releases_24m: 2
Adoption not part of the score
1863 stars · 169 forks observed · 2026-09-27
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
RoboVerse is a unified platform, dataset, and benchmark for scalable and generalizable robot learning, providing tasks, robots, scenes, assets, and IL/RL/VLA training workflows on top of the MetaSim simulation framework. MetaSim offers a write-once, run-anywhere interface across multiple physics engines including MuJoCo, Isaac Sim, SAPIEN, Genesis, and PyBullet.
Use cases
- train robot policies with imitation learning across simulators
- benchmark robot learning policies on standardized tasks
- run reinforcement learning experiments in MuJoCo or Isaac Sim
- train vision-language-action models for robotics
- simulate robots across multiple physics engines with one codebase
- generate robot learning datasets with domain randomization
- evaluate generalization of robot manipulation policies
When to choose
- you need simulator-agnostic robot learning code that runs across MuJoCo, Isaac Sim, SAPIEN, Genesis, or PyBullet
- you want a unified benchmark and dataset for comparing robot learning policies
- you are training IL, RL, or VLA policies for manipulation tasks
- you need pre-configured robots, tasks, and scene assets for robot learning research
When to avoid
- you need a lightweight 2D simulator or simple physics sandbox
- you require a mature production robotics stack rather than an actively evolving research platform
- you cannot use a GPU or Linux/macOS environment
- you only need a single specific simulator's native tooling
Facets
framework · maturity active
simulation machine-learning reinforcement-learning benchmarking robotics robotics machine-learning reinforcement-learning simulation artificial-intelligence python imitation-learning robot-learning mujoco isaac-sim sapien genesis pybullet vla benchmark dataset linux macos docker gpu
5 sources
- readme: https://github.com/RoboVerseOrg/RoboVerse · fetched 2026-09-27 · 16027e22aa62
- homepage: https://roboverse.wiki/ · fetched 2026-08-29 · 3798d4186429
- site_page: https://roboverse.wiki/metasim/get_started/installation.html · fetched 2026-08-29 · 71bc166c0032
- site_page: https://roboverse.wiki/FAQ · fetched 2026-08-29 · d77399eac0ba
- site_page: https://roboverse.wiki/metasim · fetched 2026-08-29 · 83205ba00335
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| RoboVerseOrg/RoboVerse | main | 65 |
For agents
markdown · JSON · MCP: product_card(name="RoboVerseOrg/RoboVerse")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem