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­t Professors Collaborate, Improve Robot Soccer Team


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University of Texas computer science professor Peter Stone holds a member of his robot soccer team, UT Austin Villa.

University of Texas professors Peter Stone and Michael Mauk are working on applying aspects of the human cerebellum, the part of the brain that governs coordination, to a robot soccer team.

Credit: Emmanuel Briseno/Daily Texan

University of Texas (UT) computer science professor Peter Stone and neuroscience professor Michael Mauk are working on applying aspects of the human cerebellum, the part of the brain that governs coordination, to Stone's robot soccer team.

"[Mauk is] just trying to simulate how the human brain works, and I'm trying to figure out how to get computers to do many of the same tasks the human brain does," Stone says.

Mauk's lab conducts experiments involving brains and behavior, while simultaneously modeling the results with math and computer simulations. "We are trying to understand the cerebellum well enough to model one in a computer," Mauk says.

Stone is studying if the learning ability of a working cerebellum model could help improve the learning in machine-learning algorithms.

The two researchers' goal is to apply Mauk's cerebellum simulation to Stone's robot soccer team which, if successful, could help the robots with balance, a crucial component to dominating the competition in RoboCup, a World Cup for robotic soccer that includes teams from more than 31 countries.

Stone says making a robot soccer team that can anticipate balance correctly is a step toward more sophisticated and intelligent technology.

From The Daily Texan
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