<ul><li>ROBOVERSE aims to solve the data bottleneck in robotics by providing a large and high-quality dataset for training robots.</li><li>With over 50 million high-fidelity transitions across 276 manipulation task categories,  ROBOVERSE offers diverse training scenarios for robots.</li><li>The dataset includes 500k unique trajectories and 5.5k 3D assets, all rendered realistically to mimic real-world interactions.</li><li>This dataset allows robots to learn a wide range of skills from opening doors to playing the piano, pushing the boundaries of what robots can achieve.</li></ul>

Inside ROBOVERSE’s 50M+ Transition Dataset: The Hidden Engine Behind Smarter Robots

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