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RoboLab

Robot manipulation benchmarking and natural language scene generation

Benchmarks robot manipulation policies across 120 simulated tasks with automated success detection and parallel evaluation. Generates USD scenes and task definitions from plain-English descriptions, eliminating manual 3D scene authoring and physics setup. Includes a results dashboard with episode videos and cross-experiment comparison for faster policy testing.
npx skills add NVlabs/RoboLab --all -g -y

All Skills in This Repository (2)

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Frequently Asked Questions

FAQPage Schema
How to install RoboLab?โ–ผ

Run `npx skills add NVlabs/RoboLab --all -g -y` in your terminal to install all skills in this suite globally.

What is RoboLab used for?โ–ผ

RoboLab is a benchmark for testing robot manipulation policies in NVIDIA Isaac Lab simulation. It provides 120 tasks with automated success detection and parallel multi-environment evaluation.

How to create robot scenes from text descriptions?โ–ผ

Use the robolab-scenegen skill: describe the objects and arrangement you want, and it generates a valid USD scene file with collision-free object placements, then settles it with physics and shows a screenshot.

How to define a new robot manipulation task?โ–ผ

The robolab-taskgen skill turns a plain-English goal like 'put the banana in the bowl' into a complete task file with success conditions, instruction variants, and subtask scoring.

Does RoboLab work with different robots and policies?โ–ผ

Yes. Tasks are robot-agnostic and work with any Isaac Lab-compatible robot, and the server-client architecture supports policies like Pi0.5, GR00T, and Cosmos.

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