NEWS MERL Researchers Demonstrate Robot Learning Technology at CEATEC'18
Date released: October 27, 2018
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NEWS MERL Researchers Demonstrate Robot Learning Technology at CEATEC'18 Date:
October 15, 2018 - October 19, 2018
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Where:
CEATEC'18, Makuhari Messe, Tokyo
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Description:
MERL's work on robot learning algorithms was demonstrated at CEATEC'18, Japan's largest IT and electronics exhibition and conference held annually at Makuhari Messe near Tokyo. A team of researchers from the Data Analytics Group at MERL and the Artificial Intelligence Department of the Information Technology Center (ITC) of MELCO presented an interactive demonstration of a model-based artificial intelligence algorithm that learns how to control equipment autonomously. The algorithm developed at MERL constructs models of mechanical equipment through repeated trial and error, and then learns control policies based on these models. The demonstration used a circular maze, where the objective is to drive a ball to the center of the maze by tipping and tilting the maze, a task that is difficult even for humans; approximately half of the CEATEC'18 visitors who tried to steer the ball by means of a joystick could not bring it to the center of the maze within one minute. In contrast, MERL's algorithm successfully learned how to drive the ball to the goal within ten seconds without the need for human programming. The demo was at the entrance of MELCO's booth at CEATEC'18, inviting visitors to learn more about MELCO's many other AI technologies on display, and was seen by an estimated more than 50,000 visitors over the five days of the expo.
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External Link:
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MERL Contacts:
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Research Areas:
Artificial Intelligence, Computer Vision, Data Analytics, Robotics
