Welcome! This is the home page of the UT Austin Villa robot soccer team. We are a RoboCup soccer team from the Department of Computer Science at the University of Texas at Austin. We compete in both the legged and simulation leagues of RoboCup soccer. Our team name is a play on the name of a prominent English football club, Aston Villa.
More Austin Villa Robot Soccer Team images
UT Austin Villa has participated successfully in past RoboCup competitions, every year since 2003. In 2012, we finished 1st plance in the soccer SPL, in 2016, we finished 2nd place in the soccer SPL, and also in 2016, we finished 1st place in the 3D simulation league for the 5th time in 6 years. Photos/videos
RoboCup 2005 took place from 13 to 19 July 2005 at Intex Osaka in Osaka, Japan. The UT Austin Villa simulation team won 1st place out of 10 entrants in the simulated coach competition. Also, the legged league team made the quarterfinals. ( Detailed results...)
Team Members Dr. Peter Stone Peter is the founder and team leader of the Austin Villa robot soccer teams. His interest in this challenging domain was sparked at the 1994 AAAI conference upon seeing a demonstration of the UBC Dynamite project. As a result, in 1994, as a Ph.D. candidate, he co-founded the robosoccer project at Carnegie Mellon University.
The UT Austin Villa 2003 Four-Legged Team. In Daniel Polani, Brett Browning, Andrea Bonarini, and Kazuo Yoshida, editors, RoboCup-2003: Robot Soccer World Cup VII, Springer Verlag, Berlin, 2004. Extended version (technical report with full details: "UT Austin Villa 2003: A New RoboCup Four-Legged Team").
The UT Austin Villa@Home team competes in the RoboCup@Home Domestic Standard Platform League using the Toyota Human Support Robot. The league aims to develop domestic service robot technology and evaluates performance in a set of benchmark tests in a realistic home environment.
The UT Austin Villa team, led by Prof. Peter Stone at the University of Texas at Austin, competes in the Standard Platform League (SPL). UT Austin Villa won the international SPL championship at RoboCup 2012 and finished seond at RoboCup 2016 ! The team also won the 2009 US Open , the 2010 US Open, the 2012 US Open, and the 2016 US Open in the SPL, and finished third in the 2013 RoboCup competition, third in the 2010 RoboCup competition, and fourth in the 2009 RoboCup competition.
Machine learning was applied to kicking motion process in order to optimize the power of kicking motions on the Aibo ERS-7. The resulting learned kick is shown to be more powerful than UT Austin Villa's most powerful handcoded kick.
UT Austin Villa is a RoboCup team from the University of Texas at Austin that competes in the Standard Platform League of RoboCup.