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AGILO RoboCuppers 2001: Utility- and Plan-based Action Selection based on Probabilistically Estimated Game Situations (bibtex) [pdf]
@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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Last edited 09.03.2013 19:45 by goron