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@INPROCEEDINGS{KhalvatiIROS2012,
author={Koosha Khalvati and Alan K. Mackworth},
booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2012},
title={Active robot localization with macro actions},
year={2012},
pages={187-193},
abstract={We propose a novel method for solving the localization problem, particularly useful in self-similar environments. Localization is the task of determining a robot's position with little or no prior
knowledge about its initial location. We introduce a computationally efficient active strategy for the localization task. The proposed method also automatically generates optimal macro actions giving the robot the ability to localize in all environments. Combining the active strategy and macro actions, the method introduces an efficient strategy for determining a robot's position in any environment where localization is possible.},
keywords={mobile robots;path planning;active robot localization problem;active strategy;optimal macroaction generation;robot position determination;Computational efficiency;Educational institutions;Entropy;Lasers;Noise;Robot sensing systems},
bib2html_pubtype ={Refereed Conference Proceeding},
bib2html_rescat ={},
}