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The UT Austin Villa 2004 RoboCup Four-Legged Team: Coming of Age.
Peter
Stone, Kurt Dresner, Peggy
Fidelman, Nicholas K. Jong, Nate
Kohl, Gregory Kuhlmann, Mohan
Sridharan, and Daniel Stronger.
Technical Report
UT-AI-TR-04-313, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2004.
At http://www.cs.utexas.edu/ftp/pub/AI-Lab/index/html/Abstracts.2004.html#04-313
[PDF]555.3kB [postscript]1.6MB
The UT Austin Villa Four-Legged Team for RoboCup 2004 was a second-time entry in the ongoing series of RoboCup legged league competitions. The team development began in mid-January of 2003 without any prior familiarity with the Aibos. After entering a fairly non-competitive team in RoboCup 2003, the team made several important advances. By the July 2004 competition place in Lisbon, Portugal, it was one of the top few teams. In this report, we describe both our development process and the technical details of its end result. In conjunction with our previous technical report this paper provides full documentation of the algorithms behind our approach with the goal of making them fully replicable.
@TechReport(Villa04-legged-tech,
Author="Peter Stone and Kurt Dresner and Peggy Fidelman and Nicholas K.\ Jong and Nate Kohl and Gregory Kuhlmann and Mohan Sridharan and Daniel Stronger",
Title="The {UT} {A}ustin {V}illa 2004 {R}obo{C}up Four-Legged Team: Coming of Age",
Institution="The University of Texas at Austin, Department of Computer Sciences, AI Laboratory",
number="UT-AI-TR-04-313",
year="2004",month="October",
abstract={
The UT Austin Villa Four-Legged Team for RoboCup
2004 was a second-time entry in the ongoing series
of RoboCup legged league competitions. The team
development began in mid-January of 2003 without any
prior familiarity with the Aibos. After entering a
fairly non-competitive team in RoboCup 2003, the
team made several important advances. By the July
2004 competition place in Lisbon, Portugal, it was
one of the top few teams. In this report, we
describe both our development process and the
technical details of its end result. In conjunction
with our previous technical
report this paper
provides full documentation of the algorithms behind
our approach with the goal of making them fully
replicable.
},
wwwnote={At <a href="http://www.cs.utexas.edu/ftp/pub/AI-Lab/index/html/Abstracts.2004.html#04-313">http://www.cs.utexas.edu/ftp/pub/AI-Lab/index/html/Abstracts.2004.html#04-313</a>},
)
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