Mobile ALOHA

Stanford mobile bimanual manipulation demos (kitchen/home tasks) on the Mobile ALOHA robot; RLDS in Open X / TFDS.

Dataset specifications
Year2024
Episodes276
Embodimentsaloha
Modalitieslanguage, proprioception, rgb
Task categoriesmanipulation, navigation
LicenseCC-BY-4.0
Accessopen — commercial use permitted
MaintainerStanford University

Mobile ALOHA is a teleoperated mobile bimanual manipulation dataset collected by Fu, Zhao, and Finn (Stanford) using the low-cost whole-body Mobile ALOHA system, with ~50 human demonstrations per task across whole-body tasks such as sauteing shrimp, opening a two-door cabinet, calling/entering an elevator, and rinsing a pan. The TFDS/Open X release contains 276 episodes with 3 RGB cameras (overhead + two wrist cameras at 480x640), a 14-dim state, a 16-dim action, and per-step language instructions. Raw HDF5 demonstrations are also distributed via the project's Google Drive.