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RoboVerseOrg/RoboVerse

RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning observed · 2026-08-28

github.com/RoboVerseOrg/RoboVerse · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

68/100

  • Activity 99
  • Release rhythm 45
  • Longevity 36

Flags: prerelease_only

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: 20
  • age_days: 516
  • days_rel: 367
  • days_push: 9
  • n_releases_24m: 2

Full methodology

Adoption not part of the score

1810 stars · 164 forks observed · 2026-08-28

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

Member repositories

RepositoryRoleHealth v2
RoboVerseOrg/RoboVersemain68

For agents

markdown · JSON · MCP: product_card(name="RoboVerseOrg/RoboVerse")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem