University of Tokyo unveils robot that does household chores, learns from mistakes

In cooperation with Toyota, the Information and Robot Technology Research Initiative, a research body of prestigious University of Tokyo, has developed a robot that handles household chores [JP, PDF]. The humanoid was demonstrated to Japanese media last week and was able to clean up rooms, put away dishes from tables, open and close doors and do the laundry.

The so-called “Home Assistant Robot” stands 155cm and weighs 130kg. Moving on two wheels, the prototype is equipped with two arms (the hands have 3 fingers each), five mini cameras and six laser sensors. Its neck and head can be moved in 3 differenct directions, the lower body in two, the arms in seven each and the fingers in two.

The robot, which the researchers involved in the development say can “learn” from mistakes it makes, can be operated for 30-60 minutes with one battery charge.

Toyota and the University of Tokyo hope to commercialize the humanoid within the next ten years, aiming for a price tag of around $10,000.

Via Asahi [JP]

Techcrunch event

Join 10k+ tech and VC leaders for growth and connections at Disrupt 2025

Netflix, Box, a16z, ElevenLabs, Wayve, Hugging Face, Elad Gil, Vinod Khosla — just some of the 250+ heavy hitters leading 200+ sessions designed to deliver the insights that fuel startup growth and sharpen your edge. Don’t miss the 20th anniversary of TechCrunch, and a chance to learn from the top voices in tech. Grab your ticket before doors open to save up to $444.

Join 10k+ tech and VC leaders for growth and connections at Disrupt 2025

Netflix, Box, a16z, ElevenLabs, Wayve, Hugging Face, Elad Gil, Vinod Khosla — just some of the 250+ heavy hitters leading 200+ sessions designed to deliver the insights that fuel startup growth and sharpen your edge. Don’t miss a chance to learn from the top voices in tech. Grab your ticket before doors open to save up to $444.

San Francisco | October 27-29, 2025

Topics

, , , , , , , ,
Loading the next article
Error loading the next article