POSSIBILISTIC POSITION ESTIMATION IN MOBILE ROBOTICS

摘要

Using an enhanced version of possibility theory, we propose a logic-based 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.