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
Download:

IMEKO-WC-2000-TC17-P446.pdf
DOI:

_unreg_wc-2000.446

Event details:

IMEKO TC:
Event name:

XVI IMEKO World Congress
Title:

Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future
Place:

Vienna, AUSTRIA
Time:

25 September 2000 - 28 September 2000