09/05/2012 -
AUSTIN, Texas–The UT^2 game bot, created by computer scientists Jacob Schru, Igor Karpov and Risto Miikkulainen, won the Humanlike Bot Competition at the IEEE World Congress on Computational Intelligence (WCCI 2012).
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08/14/2012 -
The UT^2 game bot, created by Jacob Schrum, Igor Karpov, and Professor Risto Miikkulainen, won the Humanlike Bot Competition at the IEEE World Congress on Computational Intelligence (WCCI 2012).
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08/01/2012 -
The Economist speaks with Dr. Peter Stone about how making sporting robots can aid in using them for rescue missions.
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07/21/2012 -
The Economist | from the print edition
Sporting robots are still slow. But their inventors are making rapid strides
ONLY a few of the many thousands who applied to carry Britain’s Olympic torch in the relay that finishes on July 27th made the final selection. But one application (albeit unsuccessful) stood out. James Law, a computer scientist at the University of Aberystwyth in Wales, nominated iCub, his metre-high humanoid robot.
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07/05/2012 -
Peter Stone talks about autonomous vehicles and intersections with Michael Breen of American Mathematical Society on this podcast episode of Mathematical Moments.
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07/03/2012 -
The Austin Business Journal reports on our robot squad’s triumph in Mexico City.
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06/27/2012 -
AUSTIN, Texas — UT Austin Villa, a team of computer science students led by professor Peter Stone, won two 2012 Robot Soccer World Cup division championships during RoboCup 2012 last week in Mexico City.
The annual tournament, founded in 1997 to foster innovation in artificial intelligence (AI) and robotics research, is often touted as the world’s biggest robotics and artificial intelligence event.
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05/23/2012 -
Professor Peter Stone has been elected as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) for his significant contributions to machine learning, multiagent systems, and robotics, and pioneering applications in robot soccer, trading agents, and autonomous driving domains. Peter's main research interest in artificial intelligence is understanding how to best create complete intelligent agents.
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05/17/2012 -
InnovationNewsDaily | Jeremy Hsu, Senior Writer
Ordinary Americans can't buy intelligent, self-driving cars just yet, but the technology could someday revolutionize one of the nation's most common road rituals—the morning and evening commutes that bookend the workday for millions of people.
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