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  • Added video showing Mobile ALOHA in use at a researcher's home

Update from January 5, 2025:

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Zipeng Fu, one of the developers of Mobile-ALOHA, actually took the robot home to demonstrate that the flexible and relatively inexpensive hardware can perform various household tasks, such as doing laundry, watering plants, and even opening a beer.

Video: Fu et al. via LinkedIn

The robot in the video is teleoperated "for now," Fu says, but as described below, the team has also taken the first steps toward fully automating certain tasks, such as cooking and serving shrimp, calling and taking an elevator, pushing chairs, or playing high-fives with people.

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Original article from January 4, 2024:

Stanford researchers have developed Mobile-ALOHA, an open-source robotic hardware system capable of performing complex mobile manipulation tasks such as cooking, using elevators, and storing objects.

The low-cost robot was trained using only 50 demonstrations and co-training of imitation learning algorithms with static ALOHA data, enabling it to autonomously perform complex tasks such as sautéing shrimp, storing heavy pots, and rinsing a used pan.

The team behind Mobile-ALOHA, Zipeng Fu, Tony Z. Zhao, and Chelsea Finn, aims to make robotics more accessible and impactful by providing affordable hardware solutions. Mobile-ALOHA can carry 100kg and move up to 1.6m/s, while costing only $7,000, says Zhao. The team has open-sourced the hardware assembly tutorial, codebase, and all software and data related to Mobile-ALOHA.

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Online journalist Matthias is the co-founder and publisher of THE DECODER. He believes that artificial intelligence will fundamentally change the relationship between humans and computers.
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