https://d-robotics-ai-lab.github.io/large-model-team/blog/Recent content in Blog on D-Robotics Large Model TeamHugoenTue, 25 Aug 2026 00:00:00 +0000https://d-robotics-ai-lab.github.io/large-model-team/blog/uranus/Tue, 25 Aug 2026 00:00:00 +0000https://d-robotics-ai-lab.github.io/large-model-team/blog/uranus/<p><strong>Background: Why a learned simulator</strong></p> <blockquote> <p><em>&ldquo;What I cannot create, I do not understand.&rdquo;</em> — Richard Feynman</p></blockquote> <p>To act intelligently, a robot must first <em>imagine</em> the consequences of its actions — yet real interaction is costly, slow, and impossible to reproduce, while traditional simulators (Isaac Sim, MuJoCo) demand hand-authored assets and physics and still suffer a sim-to-real gap. Uranus closes this gap with a <strong>data-driven world model</strong>: feed it observations, camera calibrations, joint states, and a robot description file, and it autoregressively generates multi-view video conditioned on actions — simulation learned from data, not hand-built.</p>