Technical University of Munich

@inproceedings{stulp_agilo_2004,
 author = {F Stulp and A Kirsch and S Gedikli and M Beetz},
 title = {{AGILO} {RoboCuppers} 2004},
 booktitle = {{RoboCup} International Symposium 2004},
 year = {2004},
 series = {Lisbon},
 month = {jul},
 abstract = {The Agilo {RoboCup} team is the primary platform for our research
	on the semi-automatic acquisition of visuo-motoric plans. It is realized
	using inexpensive, off the shelf, easily extendible hardware components
	and a standard software environment. 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.
	The action selection module selects actions according to specified
	goals as well as learned experiences. Automatic learning techniques
	made it possible to develop fast and skillful routines for approaching
	the ball, assigning roles, and performing coordinated plays.},
}