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Designing Probabilistic State Estimators for Autonomous Robot Control (bibtex)
@INPROCEEDINGS{schmitt_designing_2003,
  author = {Schmitt, Thorsten and Beetz, Michael},
  title = {Designing Probabilistic State Estimators for Autonomous Robot Control},
  booktitle = {{IEEE/RSJ} Intl. Conf. on Intelligent Robots and Systems ({IROS)}},
  year = {2003},
  abstract = {This paper sketches and discusses design options for complex probabilistic
	state estimators and investigates their interactions and their impact
	on performance. We consider, as an example, the estimation of game
	states in autonomous robot soccer. We show that many factors other
	than the choice of algorithms determine the performance of the estimation
	systems. We propose empirical investigations and learning as necessary
	tools for the development of successful state estimation systems.}
}
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Last edited 29.01.2013 17:37 by Quirin Lohr