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AI2 sets up robo-challenge in virtual and real rooms

RoboTHOR Challenge
The RoboTHOR 2020 Challenge will test how well computer models for visual identification and navigation translate into real-world robotic performance. (AI2 Illustration / Winson Han)

Computer vision and navigation have improved by leaps and bounds, thanks to artificial intelligence, but how well do the computer models work in the real world?

That’s the challenge that Seattle’s Allen Institute for Artificial Intelligence is setting for AI researchers over the next few months, with geek fame and glory as the prize.

AI2’s RoboTHOR Challenge, which kicks off today, capitalizes on years of work that’s been done to train AI agents in synthetic environments.

Ani Kembhavi, a research scientist at AI2, says RoboTHOR focuses on the next step. “If you can train a deep-learning, computer vision model to do something in an embodied environment … how well would this model work when deployed in an actual robot?” he told GeekWire.

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By Alan Boyle

Mastermind of Cosmic Log, contributing editor at GeekWire, author of "The Case for Pluto: How a Little Planet Made a Big Difference," president of the Council for the Advancement of Science Writing. Check out "About Alan Boyle" for more fun facts.

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