Publication Details
Virtual Mobile Robot Localization
CONDENSATION, Sequential Monte Carlo methods, localization, navigation
This paper deals with the fundamental problem in mobile robotics. Accurate knowledge about self-position relative to the environment is in many cases essential for the robot to be able to plan future actions. The information used by the robot to obtain knowledge about its position is always to some extent inaccurate and thereby the localization problem is transformed into estimation of probability density function of current robot state. In this paper, the use of CONDENSATION algorithm for robot localization in known environment is discussed and a framework for simulation of mobile robot, which can be used for experiments and classroom demonstrations, is presented.
@INPROCEEDINGS{FITPUB8430, author = "Michal Hradi\v{s}", title = "Virtual Mobile Robot Localization", pages = 3, booktitle = "Proceedings of the 13th Conference STUDENT EEICT 2007", year = 2007, location = "Brno, CZ", publisher = "Brno University of Technology", ISBN = "978-80-214-3408-0", language = "english", url = "https://www.fit.vut.cz/research/publication/8430" }