• Classified by Topic • Classified by Publication Type • Sorted by Date • Sorted by First Author Last Name • Classified by Funding Source •
The CMUnited-97 Small-Robot Team.
Manuela Veloso, Peter
Stone, Kwun Han, and Sorin Achim.
In Hiroaki Kitano, editors,
RoboCup-97: Robot Soccer World Cup I, Lecture Notes in Artificial Intelligence, pp. 242–256, Springer Verlag,
Berlin, 1998.
HTML version.
Official
version from Publisher's Webpage© Springer-Verlag
[PDF]191.8kB [postscript]355.0kB
Robotic soccer is a challenging research domain which involves multiple agents that need to collaborate in an adversarial environment to achieve specific objectives. In this paper, we describe CMUnited, the team of small robotic agents that we developed to enter the RoboCup-97 competition. We designed and built the robotic agents, devised the appropriate vision algorithm, and developed and implemented algorithms for strategic collaboration between the robots in an uncertain and dynamic environment. The robots can organize themselves in formations, hold specific roles, and pursue their goals. In game situations, they have demonstrated their collaborative behaviors on multiple occasions. The robots can also switch roles to maximize the overall performance of the team. We present an overview of the vision processing algorithm which successfully tracks multiple moving objects and predicts trajectories. The paper then focusses on the agent behaviors ranging from low-level individual behaviors to coordinated, strategic team behaviors. CMUnited won the RoboCup-97 small-robot competition at IJCAI-97 in Nagoya, Japan.
@InCollection(LNAI97-robot,
Author="Manuela Veloso and Peter Stone and Kwun Han and Sorin Achim",
Title= "The {CMU}nited-97 Small-Robot Team",
booktitle= "{R}obo{C}up-97: Robot Soccer World Cup {I}",
Editor="Hiroaki Kitano",
Publisher="Springer Verlag",address="Berlin",year="1998",
series="Lecture Notes in Artificial Intelligence",
volume="1395",
pages="242--256",
abstract={
Robotic soccer is a challenging research domain
which involves multiple agents that need to
collaborate in an adversarial environment to achieve
specific objectives. In this paper, we describe
CMUnited, the team of small robotic agents that we
developed to enter the RoboCup-97 competition. We
designed and built the robotic agents, devised the
appropriate vision algorithm, and developed and
implemented algorithms for strategic collaboration
between the robots in an uncertain and dynamic
environment. The robots can organize themselves in
formations, hold specific roles, and pursue their
goals. In game situations, they have demonstrated
their collaborative behaviors on multiple
occasions. The robots can also switch roles to
maximize the overall performance of the team. We
present an overview of the vision processing
algorithm which successfully tracks multiple moving
objects and predicts trajectories. The paper then
focusses on the agent behaviors ranging from
low-level individual behaviors to coordinated,
strategic team behaviors. CMUnited won the
RoboCup-97 small-robot competition at IJCAI-97 in
Nagoya, Japan.
},
wwwnote={<a href="http://www.cs.utexas.edu/~pstone/Papers/97springer/robot/robot.html">HTML version</a>.<br>
Official version from <a href="http://dx.doi.org/10.1007/3-540-64473-3_64">Publisher's Webpage</a>© Springer-Verlag},
)
Generated by bib2html.pl (written by Patrick Riley ) on Sat Nov 15, 2025 21:30:23