Repository
Open source
MuJoCo · google-deepmind
MuJoCo physics simulator for multijoint dynamics and contact.
Motion planning & control
Benchmarks / Research
Video2World · AetherLabsAI
Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective
Overview
Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective
Compare tasks, protocols, dataset/environment versions and hardware before interpreting reported results. A benchmark repository is not a certification of a robot system.
Project information
- Maintainer
- AetherLabsAI
- Primary language
- Python
- Repository code license
- Apache-2.0
- Model-weight license
- Not recorded
- Dataset license
- Not recorded
- Hardware design license
- Not recorded
- Maintenance
- Not archived in the last recorded metadata
- Last observed repository push
- 2026-10-06
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- Video2World: Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos
- Overview
- Installation
- ManiSkill / SAPIEN: FurnitureBench, DROID, hand, Push-T
- MuJoCo: rope routing, toy packing, cloth (a separate environment)
- Isaac Sim 5.1 + Isaac Lab: RoboDojo and in-house (with a RoboDojo checkout at commit 25691aa)
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