Conference article

KULRoT 1999 Team Description

Kurt Driessens
K.U.Leuven, Belgium

Nico Jacobs
K.U.Leuven, Belgium

Bert Robben
K.U.Leuven, Belgium

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Published in: RobocCup-99 Team Descriptions. Simulation League

Linköping Electronic Conference Proceedings 4:15, p. 69-73

Linköping Electronic Articles in Computer and Information Science vol. 4 4:15, p. 69-73

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Published: 1999-12-15


ISSN: 1650-3686 (print), 1650-3740 (online)


This paper gives an overview of the KULRoT 99 team. This team is based on our last years team. The major problem we experienced with KULRoT 98 was a slow reaction time. The cause of this problem was related to bad synchronization and an insufficient notion of time. To tackle this problem; we switched to a new architecture that gives each soccer player a better notion of time. Preliminary results already show a large improvement in reaction time. In this position paper; we describe this architecture and briefly mention some plans for future work.


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[1] H. Blockeel; L. De Raedt; N. Jacobs; and B. Demoen. Scaling up inductive logic programming by learning from interpretations. Data Mining and Knowledge Discovery; 3(1); 1999.

[2] N. Cossement. Robocup: developing low level skills. Master’s thesis; Department of Computer Science; Katholieke Universiteit Leuven; 1998.

[3] K. Driessens; N. Jacobs; N. Cossement; P. Monsieurs; and L. De Raedt. Inductive veri cation and validation of the KULRoT RoboCup team. In Proceedings of the second RoboCup Workshop; pages 135-150; 1998.

[4] P. Monsieurs. Developing high level skills for robocup. Master’s thesis; Department of Computer Science; Katholieke Universiteit Leuven; 1998.

[5] P. Stone andM. Veloso. A layered approach to learning client behaviours in the robocup soccer server. Applied Arti cial Intelligence; 1998.

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