Stanford’s mobile ALOHA robot learns from humans to cook, clean, do laundry
Stanford University researchers have developed an innovative AI system called Mobile ALOHA, a robot capable of performing complex household tasks like cooking, cleaning, and doing laundry. This system is an extension of the existing ALOHA system, now enhanced with a wheeled base for mobility, making it a cost-effective alternative to conventional bimanual robots. Mobile ALOHA can operate autonomously or be controlled by a user and is capable of performing a range of tasks demonstrated in a video, including cooking shrimp, handling spills, and interacting with people. The system is designed to learn from human demonstrations, with as few as 50 demonstrations per task, using transformers similar to those in large language models. Although impressive, the system is still in the development phase and requires further optimisation before it's ready for widespread use.
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