Technical University of Munich

@inproceedings{beetz_agilo_2002,
 author = {M Beetz and S Buck and R Hanek and T Schmitt and B Radig},
 title = {The {AGILO} Autonomous Robot Soccer Team: Computational Principles,
	Experiences, and Perspectives},
 booktitle = {International Joint Conference on Autonomous Agents and Multi Agent
	Systems ({AAMAS)} 2002},
 year = {2002},
 pages = {805–812},
 address = {Bologna, Italy},
 abstract = {This paper describes the computational model underlying the {AGILO}
	autonomous robot soccer team, its implementation, and our experiences
	with it. The most salient aspects of the {AGILO} control software
	are that it includes (1) a cooperative probabilistic game state estimator
	working with a simple off-the-shelf camera system; (2) a situated
	action selection module that makes amble use of experience-based
	learning and produces coherent team behavior even if inter-robot
	communication is perturbed; and (3) a playbook executor that can
	perform preprogrammed complex soccer plays in appropriate situations
	by employing plan-based control techniques. The use of such sophisticated
	state estimation and control techniques distinguishes the {AGILO}
	software from many others applied to mid-size autonomous robot soccer.
	The paper discusses the computational techniques and necessary extensions
	based on experimental data from the 2001 robot soccer world championship.},
}