DROID: Distributed Robot Interaction Dataset Dataset Summary DROID (Distributed Robot Interaction Dataset) is a large scale "in the wild" robot manipulation dataset containing 76K teleoperated demonstration trajectories — approximately 350 hours of interaction data — collected across 564 unique scenes, 86 tasks, and 52 buildings over the course of 12 months. The data was collected by 50 data collectors at 18 labs across 13 institutions in North America, Asia, and Europe, on a single shared, open source robot hardware platform. Every DROID episode contains three synchronized stereo RGB camera streams, camera calibration data, depth information, low level robot state and control commands, and up to three natural language task instructions. Dataset Details Dataset Description DROID was designed to enable training of generalizable robot manipulation policies by substantially increasing the diversity of scenes, tasks, objects, viewpoints, and interaction locations over prior real world robot manipulation datasets. Data was collected on a single uniform robot hardware stack (a Franka Panda 7 DoF arm with a Robotiq 2F 85 gripper) so that demonstrations gathered at any of the 18 collection…
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