Emerging Technologies

This virtual playground trains AI to do chores

Jetpacks are pictured at FlyView, enabling flights over the city in virtual reality, in Paris, France March 28, 2018. REUTERS/Benoit Tessier

MIT researchers have created a virtual environment in which AI can practice various tasks and skills. Image: REUTERS/Benoit Tessier

Dan Robitzski
Journalist, Futurism

As the classic saying goes, “if you want to make a chore-bot, you’ll need to crack some plates.” The old adage encapsulates a major problem facing those working on robotic household assistants: how do you build a robot that completes all the tiny steps in a task humans do with ease, like setting the table or folding laundry? And how can you train them to complete them without breaking a lot of stuff along the way?

Enter VirtualHome, a new project out of the MIT Computer Science and Artificial Intelligence Laboratory, a place where AI can rehearse complicated tasks and household chores in a simulated, virtual world. The idea is that by mastering certain commands in the simulation, we could someday have robots with AI systems that can more easily perform these tasks in the real world.

The VirtualHome simulator exposes AI to a variety of everyday tasks. Image: MIT

VirtualHome looks an awful lot like a version of The Sims. The AI, depicted as human-like avatars, are confined to a Sims-looking house, and they move just about as naturally through it as those do in the game.

Loading...

That sitting position doesn’t look normal and comfortable, but it’s still impressive that the AI, when told to watch TV, knew to turn on the TV itself, go find and grab the remote control, walk over to the couch, and sit facing the TV set.

These are the sort of tasks that a person would generally be able to comprehend immediately but would be too confusing for current AI systems that need detailed, step-by-step instructions.

This isn’t the first attempt to get algorithms to understand language with nuance that will better match the sort of casual commands that a person might give their household robot. For instance, in 2017, researchers from Brigham Young University trained an AI system to read all of Wikipedia (casual) to learn the context in which different words fit together, according to Live Science.

Using VirtualHome, the MIT computer scientists have trained AI to do about 1,000 different tasks that one might expect a household robot assistant to be able to do. Some of these include: going into different rooms to fetch certain objects, making coffee, cooking something on the stove.

Someday, robots trained in this way could be a great help for the elderly or people who have trouble getting around, and perhaps even to the average person. But until they become useful, at least they’re entertaining to watch.

Have you read?
Don't miss any update on this topic

Create a free account and access your personalized content collection with our latest publications and analyses.

Sign up for free

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

Stay up to date:

Virtual and Augmented Reality

Share:
The Big Picture
Explore and monitor how Virtual and Augmented Reality is affecting economies, industries and global issues
World Economic Forum logo

Forum Stories newsletter

Bringing you weekly curated insights and analysis on the global issues that matter.

Subscribe today

Here’s why it’s important to build long-term cryptographic resilience

Michele Mosca and Donna Dodson

December 20, 2024

How digital platforms and AI are empowering individual investors

About us

Engage with us

  • Sign in
  • Partner with us
  • Become a member
  • Sign up for our press releases
  • Subscribe to our newsletters
  • Contact us

Quick links

Language editions

Privacy Policy & Terms of Service

Sitemap

© 2024 World Economic Forum