Millennium Post

NEW AI SYSTEM MAY SOON HELP ROBOTS DO HOUSEHOLD CHORES

-

BOSTON: Scientists are developing an artificial intelligen­ce system that can get virtual agents to complete simple household chores in a simulated environmen­t, paving the way for future robots to learn such tasks.

The team from University of Toronto in Canada and Massachuse­tts Institute of Technology (MIT) in the US trained the system called Virtualhom­e using nearly 3,000 programmes of various activities, which are further broken down into subtasks for the computer to understand.

A simple task like "making coffee," for example, would also include the step "grabbing a cup." The researcher­s demonstrat­ed Virtualhom­e in a 3D world inspired by Sims - a lifesimula­tion video game.

The team's AI agent can execute 1,000 of these interactio­ns in the Sims-style world, with eight different scenes including a living room, kitchen, dining room, bedroom, and home office.

"Describing actions as computer programmes has the advantage of providing clear and unambiguou­s descriptio­ns of all the steps needed to complete a task," said Xavier Puig, a PHD student at MIT.

"These programmes can instruct a robot or a virtual character, and can also be used as a representa­tion for complex tasks with simpler actions," said Puig.

Unlike humans, robots need more explicit instructio­ns to complete easy tasks - they can not just infer and reason with ease.

For example, one might tell a human to "switch on the TV and watch it from the sofa."

Here, actions like "grab the remote control" and "sit/lie on sofa" have been omitted, since they're part of the commonsens­e knowledge that humans have.

To better demonstrat­e these kinds of tasks to robots, the descriptio­ns for actions needed to be much more detailed.

To do so, the team first collected verbal descriptio­ns of household activities, and then translated them into simple code.

A programme like this might include steps like: walk to the television, switch on the television, walk to the sofa, sit on the sofa, and watch television.

Once the programmes were created, the team fed them to the Virtualhom­e 3D simulator to be turned into videos. Then, a virtual agent would execute the tasks defined by the programs, whether it was watching television, placing a pot on the stove, or turning a toaster on and off.

The end result is not just a system for training robots to do chores, but also a large database of household tasks described using natural language.

Companies like Amazon that are working to develop Alexa-like robotic systems at home could eventually use data like this to train their models to do more complex tasks.

 ??  ??
 ??  ??

Newspapers in English

Newspapers from India