Open X-Embodiment Real Robot Dataset

* The dataset can be downloaded here.

The Open X-Embodiment dataset is a large-scale open source real robot dataset project initiated by DeepMind in 2023 to promote general robot learning research. The dataset brings together data from 22 different robot types, from single-arm robots to two-handed robots and quadruped robots, collected by 21 different institutions, covering 527 different skills and 160,266 tasks. These data are provided in a unified RLDS format to facilitate subsequent research and application. It is built by bringing together 60 existing robot datasets from 34 robotics research laboratories around the world, showing a variety of robot tasks and environments.

The relevant paper results areOpen X-Embodiment: Robotic Learning Datasets and RT-X Models", first published in October 2023 and last revised in June 2024.