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  1. Constraints
  2. Constraints : Volume 7
  3. Constraints : Volume 7, Issue 1, January 2002
  4. A Constraint-Based Robotic Soccer Team
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Constraints : Volume 22
Constraints : Volume 21
Constraints : Volume 20
Constraints : Volume 19
Constraints : Volume 18
Constraints : Volume 17
Constraints : Volume 16
Constraints : Volume 15
Constraints : Volume 14
Constraints : Volume 13
Constraints : Volume 12
Constraints : Volume 11
Constraints : Volume 10
Constraints : Volume 9
Constraints : Volume 8
Constraints : Volume 7
Constraints : Volume 7, Issue 3-4, July 2002
Constraints : Volume 7, Issue 2, April 2002
Constraints : Volume 7, Issue 1, January 2002
Special Issue on Constraint Agents
A Constraint-Based Robotic Soccer Team
Cooperative Resolution of Over-Constrained Information Requests
SmartClients: Constraint Satisfaction as a Paradigm for Scaleable Intelligent Information Systems
Constraints : Volume 6
Constraints : Volume 5
Constraints : Volume 4
Constraints : Volume 3
Constraints : Volume 2
Constraints : Volume 1

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A Constraint-Based Robotic Soccer Team

Content Provider Springer Nature Link
Author Zhang, Yu Mackworth, Alan K.
Copyright Year 2002
Abstract It is a challenging task for a team of multiple fast-moving robots to cooperate with each other and to compete with another team in a dynamic, real-time environment. For a robot team to play soccer successfully, various technologies have to be incorporated including robotic architecture, multi-agent collaboration and real-time reasoning. A robot is an integrated system, with a controller embedded in its plant. A robotic system is the coupling of a robot to its environment. Robotic systems are, in general, hybrid dynamic systems, consisting of continuous, discrete and event-driven components. Constraint Nets (CN) provide a semantic model for modeling hybrid dynamic systems. Controllers are embedded constraint solvers that solve constraints in real-time. A controller for our robot soccer team, UBC Dynamo98, has been modeled in CN, and implemented in Java, using the Java Beans architecture. A coach program using an evolutionary algorithm has also been designed and implemented to adjust the weights of the constraints and other parameters in the controller. The results demonstrate that the formal CN approach is a practical tool for designing and implementing controllers for robots in multi-agent real-time environments. They also demonstrate the effectiveness of applying the evolutionary algorithm to the CN-modeled controllers.
Starting Page 7
Ending Page 28
Page Count 22
File Format PDF
ISSN 13837133
Journal Constraints
Volume Number 7
Issue Number 1
e-ISSN 15729354
Language English
Publisher Kluwer Academic Publishers
Publisher Date 2002-01-01
Publisher Place Boston
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Artificial Intelligence (incl. Robotics) Optimization Operation Research/Decision Theory
Content Type Text
Resource Type Article
Subject Discrete Mathematics and Combinatorics Artificial Intelligence Computational Theory and Mathematics Software
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