MIT Technology Review September 20, 2024
Rhiannon Williams

“Robot utility models” sidestep the need to tweak the data used to train robots every time they try to do something in unfamiliar settings.

It’s tricky to get robots to do things in environments they’ve never seen before. Typically, researchers need to train them on new data for every new place they encounter, which can become very time-consuming and expensive.

Now researchers have developed a series of AI models that teach robots to complete basic tasks in new surroundings without further training or fine-tuning. The five AI models, called robot utility models (RUMs), allow machines to complete five separate tasks—opening doors and drawers, and picking up tissues, bags, and cylindrical objects—in unfamiliar environments with a 90% success rate.

The...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Robotics/RPA, Technology
Why Agentic AI Will Soon Make ChatGPT Look Like A Simple Calculator
Artificial Integrity, Not Intelligence, Prioritizes Humanity Over Autonomy
Why Some Doctors Over-Trust AI and Don’t Even Realize It
The second wave of AI coding is here
Aneesh Chopra talks Cancer Navigation Challenge & more

Share This Article