# Uranus — Exploring a Data-Driven Approach to Robot Simulation

**URL:** <https://discourse.openrobotics.org/t/uranus-exploring-a-data-driven-approach-to-robot-simulation/58702>\
**Category:** Projects\
**Created:** [October 8, 2026, 4:07pm UTC](https://discourse.openrobotics.org/t/uranus-exploring-a-data-driven-approach-to-robot-simulation/58702 "2026-10-08T16:07:17Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![xiangbella093](https://sea2.discourse-cdn.com/flex022/user_avatar/discourse.openrobotics.org/xiangbella093/32/35522_2.png) [@xiangbella093](https://discourse.openrobotics.org/u/xiangbella093)\
**Post date:** [October 8, 2026, 4:07pm UTC](https://discourse.openrobotics.org/t/uranus-exploring-a-data-driven-approach-to-robot-simulation/58702/1 "2026-10-08T16:07:17Z")

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# Uranus — Exploring a Data-Driven Approach to Robot Simulation

Hi everyone,

We’re exploring a different approach to robot simulation.

Real-robot validation can be costly and difficult to reproduce, while traditional physics-based simulators often require substantial modeling effort and still leave us with the **sim-to-real gap**.

**Uranus** takes a third path: a data-driven simulation approach built around a **joint-trajectory-conditioned autoregressive diffusion world model**. Given multi-view observations, camera calibration, and a robot description, Uranus can generate future multi-view frames and maintain interactive closed-loop trajectories.

In our upcoming technical talk, we’ll open up the full stack behind Uranus, including:

- **3,300+ hours** of real robot data — curation and calibration recovery

- Causal training and distillation of a **1.3B-parameter** world model

- Serving infrastructure reaching **24 FPS**

- Long-horizon consistency and closed-loop policy evaluation

- Cross-embodiment generalization across multiple robot platforms

- Where the approach still breaks — and what we’ve learned from it

We’re also open-sourcing the **code, model weights, and data** so others can explore and build on the work.

This talk is the first session of **D-Robotics Frontier** , a technical series where we share our latest work across **Embodied AI, world models, robot learning, and intelligent robotics** , and open up deeper technical discussions with the broader robotics community.

📅 **October 15**  
🕙 **20:00 GMT+8**

If you’re working on robot simulation, robot learning, world models, or embodied AI, we’d be happy to have you join the discussion.

**Registration:** [D-Robotics Frontier — #1 Uranus · Zoom · Luma](https://luma.com/tmtu4uge)