> For the complete documentation index, see [llms.txt](https://home.reborn-ai.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://home.reborn-ai.xyz/products/unified-data-platform/reboverse-simulation-engine.md).

# Reboverse Simulation Engine

**Reboverse** is Reborn’s advanced simulation engine, designed to facilitate the training and evaluation of embodied AI models, built upon the famous Roboverse. By leveraging the capabilities of the RoboVerse framework, Reboverse offers a comprehensive environment that supports diverse robotic embodiments and tasks, ensuring seamless transitions between simulation and real-world applications.

**Key Features:**

* **MetaSim Integration**: At the core of Reboverse is MetaSim, a unified infrastructure that abstracts various simulation environments into a universal interface. This allows for consistent configuration and control across different simulators, enhancing interoperability and extensibility.
* **High-Fidelity Synthetic Dataset**: Reboverse provides a large-scale, high-quality synthetic dataset constructed through multiple approaches, including migration from public datasets, policy rollouts, and motion planning, all enhanced by data augmentation techniques.
* **Standardized Benchmarks**: To ensure consistent evaluation, Reboverse includes unified benchmarks for both imitation learning and reinforcement learning, enabling assessments across different levels of generalization.
* **Multimodal Sensor Simulation**: The platform supports the simulation of various sensor modalities, including RGB, depth, LiDAR, tactile, and proprioceptive sensors, facilitating comprehensive multimodal training.
* **Open-Source Collaboration**: Reboverse is open-sourced, encouraging contributions from the community to expand its capabilities and adapt to emerging research needs.

By integrating these features, Reboverse serves as a pivotal tool in Reborn's mission to develop scalable and generalizable robotic foundation models, bridging the gap between simulation and real-world deployment.

<figure><img src="/files/OxlZehvGqhAqXBudfHMY" alt=""><figcaption></figcaption></figure>

\[*1] Roboverse:* [*https://roboverseorg.github.io/*](https://roboverseorg.github.io/)