Mobile ALOHA

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4465 stars · 734 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Mobile ALOHA is an open-source system for low-cost whole-body teleoperation and data collection with a bimanual mobile manipulation robot, built on ROS and the ALOHA hardware stack. It pairs with the act-plus-plus repo for training imitation learning policies (behavior cloning) from collected demonstrations.

Use cases

• collect demonstrations for mobile bimanual robot manipulation
• train imitation learning policies for whole-body robot control
• teleoperate a mobile dual-arm robot for household tasks
• set up ALOHA hardware with ROS for research
• co-train mobile and static manipulation datasets

When to choose

• you are building or replicating a Mobile ALOHA hardware setup
• you need teleoperation and data collection code for bimanual mobile manipulation
• you want to train ACT-style behavior cloning policies on robot demonstrations

When to avoid

• you need a general-purpose robotics framework or simulation
• you are not using the ALOHA/Interbotix hardware stack
• you require ROS 2 or Ubuntu 22.04 support, which is still in progress

Facets

library · maturity active

robotics machine-learning data-science robotics machine-learning deep-learning python imitation-learning teleoperation behavior-cloning bimanual-manipulation ros hardware research linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="MarkFzp/mobile-aloha")