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Thorsten Schmitt, Sebastian Buck, and Michael Beetz. AGILO RoboCuppers 2001: Utility- and Plan-based Action Selection based on Probabilistically Estimated Game Situations. In 5th International Workshop on RoboCup (Robot World Cup Soccer Games and Conferences), Springer Verlag, 2001.
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Abstract
This paper describes the AGILO RoboCuppers 1 the RoboCup team of the image understanding group (FG BV) at the Technische Universität München. a? With a team of four Pioneer I robots, all equipped with CCD camera and a single board computer, we've participated in all international middle size league tournaments from 1998 until 2001. We use a modular approach of concurrent subprograms for image processing, self localization, object tracking, action selection, path planning and basic robot control. A fast feature extraction process provides the data necessary for the on-board scene interpretation. All robot observations are fused into a single environmental model, which forms the basis for action selection, path planning and low-level robot control.
BibTeX Entry
@inproceedings{Sch01AGI,
author = "Thorsten Schmitt and Sebastian Buck and Michael Beetz",
title = "{AGILO} {RoboCuppers} 2001: Utility- and Plan-based Action Selection based on Probabilistically Estimated Game Situations",
booktitle = "5th International Workshop on RoboCup (Robot World Cup Soccer Games and Conferences)",
year = "2001",
publisher = "Springer Verlag",
editor = "P. Stone and T. Balch and G. Kraetzschmar",
series = "Lecture Notes in Computer Science",
bib2html_pubtype = {Refereed Conference Paper},
bib2html_rescat = {Plan-based Robot Control, State Estimation},
bib2html_groups = {IAS, AGILO},
bib2html_funding = {AGILO},
bib2html_keywords = {Planning, Robot, State Estimation},
abstract = {This paper describes the AGILO RoboCuppers 1 the RoboCup team of the image understanding group (FG
BV) at the Technische Universit{\"a}t M{\"u}nchen. a? With a team of four Pioneer I robots, all
equipped with CCD camera and a single board computer, we've participated in all international
middle size league tournaments from 1998 until 2001. We use a modular approach of concurrent
subprograms for image processing, self localization, object tracking, action selection, path
planning and basic robot control. A fast feature extraction process provides the data necessary for
the on-board scene interpretation. All robot observations are fused into a single environmental
model, which forms the basis for action selection, path planning and low-level robot control.}
}
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