Michael Beetz, Thorsten Schmitt, Robert Hanek, Sebastian Buck, Freek Stulp, Derik Schröter, Bernd Radig  Home/Search
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Abstract: This article describes the computational model underlying the AGILO autonomous robot soccer team, its implementation, and our experiences with it. According to our model the control system of an autonomous soccer robot consists of a probabilistic game state estimator and a situated action selection module. The game state estimator computes the robot's belief state with respect to the current game situation using a simple off-theshelf camera system. The estimated game state comprises the... (Update)
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BibTeX entry: (Update)
M. Beetz, T. Schmitt, R. Hanek, S. Buck, F. Stulp, D. Schroter, and B. Radig. The AGILO robot soccer team - experience-based learning and probabilistic reasoning in autonomous robot control. Autonomous Robots, 2004. accepted for publication. http://citeseer.ist.psu.edu/beetz04agilo.html More
@article{ beetz04agilo,
author = {Michael Beetz and Thorsten Schmitt and Robert Hanek and Sebastian Buck and Freek Stulp and Derik Schr\"oter and Bernd Radig},
title = {The {AGILO} 2001 Robot Soccer Team: Experience-based Learning and Probabilistic Reasoning in Autonomous Robot control},
journal = {Autonomous Robots, special issue on Analysis and Experiments in Distributed Multi-Robot Systems},
volume = {17},
number = {1},
pages = {55-77},
month = {July},
year = {2004},
url = {citeseer.ist.psu.edu/beetz04agilo.html} }
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