by F Stulp, A Kirsch, S Gedikli and M Beetz
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.
Reference:
AGILO RoboCuppers 2004 (F Stulp, A Kirsch, S Gedikli and M Beetz), In RoboCup International Symposium 2004, 2004.
Bibtex Entry:
@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.},
}