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Yu Zhang and Alan K. Mackworth. A Multi-Level Constraint-Based Controller for the Dynamo98 Robot Soccer Team. In RoboCup-98: Robot Soccer World Cup II, pp. 402–409, Springer-Verlag, Albuquerque, NM, April 1999.
Constraint Nets provide a semantic model for modeling hybrid dynamic systems. Controllers are embedded constraint solvers that solve constraints in real-time. A controller for our new softbot soccer team, UBC Dynamo98, has been modeled in Constraint Nets, and implemented in Java, using the Java Beans architecture. An evolutionary algorithm is designed and implemented to adjust the weights of contraints in the controller. The paper demonstrates that the formal Constraint Net approach is a practical tool for designing and implementing controllers for robots in multi-agent real-time environments.
@InProceedings{RoboCupRSWC99,
author = {Yu Zhang and Alan K. Mackworth},
title = {A Multi-Level Constraint-Based Controller for the Dynamo98 Robot Soccer Team},
year = {1999},
month = {April},
booktitle = {RoboCup-98: Robot Soccer World Cup II},
Editor = {M. Asada and H. Kitano},
publisher = {Springer-Verlag},
series = {Lecture Notes in Artificial Intelligence}
volume = {1604},
address = {Albuquerque, NM},
pages = {402--409},
abstract = { Constraint Nets provide a semantic model for modeling hybrid
dynamic systems. Controllers are embedded constraint solvers that
solve constraints in real-time. A controller for our new softbot soccer
team, UBC Dynamo98, has been modeled in Constraint Nets, and implemented
in Java, using the Java Beans architecture. An evolutionary algorithm is
designed and implemented to adjust the weights of contraints in the controller.
The paper demonstrates that the formal Constraint Net approach is a practical
tool for designing and implementing controllers for robots in multi-agent
real-time environments.},
bib2html_pubtype ={Refereed Conference Proceeding},
bib2html_rescat ={},
}
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