POSSIBILISTIC POSITION ESTIMATION IN MOBILE ROBOTICS

P. Bison, G. Chemello, G. Trainito

Abstract

Using an enhanced version of possibility theory, we propose a logicbased position estimation method, fusing symbolic knowledge and interpretations of uncertain sensor data. The method is tested on a mobile robot using an annotated topological map of an indoor environment.

Keywords

mobile robotics, management of uncertainty, localization

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IMEKO-WC-2000-TC17-P446.pdf

DOI

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IMEKO TC

TC17 - Measurement in Robotics

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