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Mobile ALOHA

Name: Mobile ALOHA
Creator: Real-world
License: Open Source

Mobile bimanual household tasks

Indexed from an external sourceReal-worldUpdated 2024-01-04Open Source

Published by

Stanford IRIS & REAL Labs

RobotData indexes this dataset's metadata. Attribution and licensing stay with the original publisher.

50 demonstrations per task of whole-body mobile manipulation: cooking shrimp, wiping wine, rinsing pans, calling an elevator, pushing chairs. Co-training with static ALOHA data lifts success up to 90% on some tasks from only tens of demos.

Indexed episode structure

Per-episode numbers RobotData has indexed locally (camera count, DoF, control rate, success rate). "Not indexed yet" means we have not recorded that number — it does not mean the publisher's data lacks observations, state or actions. See the source-backed profile above for what the publisher documents.

Observation

4 cameras

State

16 DoF

Action

50 Hz

Result

80% success

Data modalities

● RGB Video○ Depth● Joint Positions● Robot State● Actions○ Force/Torque○ Audio○ Language Instructions

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