Designing Probabilistic State Estimators for Autonomous Robot Control (2003)
| Venue: | In IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS |
| Citations: | 2 - 1 self |
BibTeX
@INPROCEEDINGS{Schmitt03designingprobabilistic,
author = {Thorsten Schmitt and Michael Beetz},
title = {Designing Probabilistic State Estimators for Autonomous Robot Control},
booktitle = {In IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS},
year = {2003}
}
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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.
Citations
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