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Peter Stone

Could Robots Compete in the 2050 World Cup? This UT Team Thinks It’s Possible

07/26/2018 - By Rachel Cooper, The Alcalde For the past month, the world has been watching national soccer teams from across the globe compete in a surprising and nail-biting World Cup. Although the U.S. didn’t make the cut for the 2018 version of the quadrennial tournament, there’s an unorthodox soccer team close to home that did pretty well on the international stage—a group of Longhorns and their goal-scoring robots.

What happens when AI meets robotics?

04/10/2018 - By Pallab Ghosh, BBC News Researchers in Texas are developing robots that have minds of their own. The scientists are creating systems that can learn for themselves and be able to operate in the home, the workplace and even on the sports field.

Peter Stone Elected IEEE Fellow

11/28/2017 - Professor Peter Stone has been named a 2018 IEEE Fellow. He is being recognized for his contributions to reinforcement learning, multiagent systems and robotics. Each year, IEEE, or the Institute of Electrical and Electronics Engineers, chooses from among nominated IEEE members from around the world for the distinction of Fellow Grade. Out of IEEE’s over 423,000 members, less than 10,000 are fellows.

UT Austin Villa Wins at RoboCup U.S. Open

05/03/2017 - Last weekend, UT robot soccer team Austin Villa won the 2017 RoboCup U.S. Open competition hosted by the University of Miami. Four teams competed in the Standard Platform League, including the UT Austin Villa team as well as a mixed team called Team USA made up of robots from UT and the University of Pennsylvania. Austin Villa won every match with a combined score of 32-2; Team USA scored both goals against Austin Villa.

UT Austin Villa Wins at 2016 World RoboCup

07/07/2016 - The UT Austin Villa robot soccer team, led by University of Texas at Austin computer science professor Peter Stone, returned from the 2016 RoboCup competition in Leipzig, Germany as the world champions in the 3D Simulation league and with an impressive second-place win in the Standard Platform League (SPL).

Peter Stone Earns Autonomous Agents Research Award

02/16/2016 - Professor Peter Stone has been selected as the recipient of the 2016 ACM/SIGAI Autonomous Agents Research Award. Stone's work is exceptional in both its breadth and depth in multiagent systems. Some of his most influential work has been in reinforcement learning and multiagent learning as applied to robot soccer, autonomous traffic management, and trading agents.