Agilo RoboCuppers: RoboCup Team Description (bibtex)
by S Buck, R Hanek, M Klupsch and T Schmitt
Abstract:
This paper describes the Agilo RoboCuppers, team of the image understanding group (FG BV) at the Technische Universit?t München. With a team of four Pioneer 1 robots, equipped with CCD camera and a single board computer each and coordinated by a master PC outside the field we participate in the Middle Size League of the fourth international RoboCup Tournament in Melbourne 2000. We use a multi-agent based approach to represent different robots and to encapsulate concurrent tasks within the robots. A fast feature extraction based on the image processing library HALCON provides the data necessary for the on-board scene interpretation. All robot observations are fused to one single consistent view. Decision making is done on this fused data.
Reference:
Agilo RoboCuppers: RoboCup Team Description (S Buck, R Hanek, M Klupsch and T Schmitt), In The Fourth Robot World Cup Soccer Games and Conferences, 2000. 
Bibtex Entry:
@inproceedings{buck_agilo_2000,
 author = {S Buck and R Hanek and M Klupsch and T Schmitt},
 title = {Agilo {RoboCuppers:} {RoboCup} Team Description},
 booktitle = {The Fourth Robot World Cup Soccer Games and Conferences},
 year = {2000},
 series = {{RoboCup-2000} Melbourne},
 abstract = {This paper describes the Agilo {RoboCuppers}, team of the image understanding
	group ({FG} {BV)} at the Technische Universit?t München. With a team
	of four Pioneer 1 robots, equipped with {CCD} camera and a single
	board computer each and coordinated by a master {PC} outside the
	field we participate in the Middle Size League of the fourth international
	{RoboCup} Tournament in Melbourne 2000. We use a multi-agent based
	approach to represent different robots and to encapsulate concurrent
	tasks within the robots. A fast feature extraction based on the image
	processing library {HALCON} provides the data necessary for the on-board
	scene interpretation. All robot observations are fused to one single
	consistent view. Decision making is done on this fused data.},
}
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Agilo RoboCuppers: RoboCup Team Description (bibtex)
Agilo RoboCuppers: RoboCup Team Description (bibtex)
by S Buck, R Hanek, M Klupsch and T Schmitt
Abstract:
This paper describes the Agilo RoboCuppers, team of the image understanding group (FG BV) at the Technische Universit?t München. With a team of four Pioneer 1 robots, equipped with CCD camera and a single board computer each and coordinated by a master PC outside the field we participate in the Middle Size League of the fourth international RoboCup Tournament in Melbourne 2000. We use a multi-agent based approach to represent different robots and to encapsulate concurrent tasks within the robots. A fast feature extraction based on the image processing library HALCON provides the data necessary for the on-board scene interpretation. All robot observations are fused to one single consistent view. Decision making is done on this fused data.
Reference:
Agilo RoboCuppers: RoboCup Team Description (S Buck, R Hanek, M Klupsch and T Schmitt), In The Fourth Robot World Cup Soccer Games and Conferences, 2000. 
Bibtex Entry:
@inproceedings{buck_agilo_2000,
 author = {S Buck and R Hanek and M Klupsch and T Schmitt},
 title = {Agilo {RoboCuppers:} {RoboCup} Team Description},
 booktitle = {The Fourth Robot World Cup Soccer Games and Conferences},
 year = {2000},
 series = {{RoboCup-2000} Melbourne},
 abstract = {This paper describes the Agilo {RoboCuppers}, team of the image understanding
	group ({FG} {BV)} at the Technische Universit?t München. With a team
	of four Pioneer 1 robots, equipped with {CCD} camera and a single
	board computer each and coordinated by a master {PC} outside the
	field we participate in the Middle Size League of the fourth international
	{RoboCup} Tournament in Melbourne 2000. We use a multi-agent based
	approach to represent different robots and to encapsulate concurrent
	tasks within the robots. A fast feature extraction based on the image
	processing library {HALCON} provides the data necessary for the on-board
	scene interpretation. All robot observations are fused to one single
	consistent view. Decision making is done on this fused data.},
}
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