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Why Robots Should Use Fuzzy Mathematical Morphology

I. Bloch and A. Saffiotti

Abstract
Mobile robots must represent and reason about spatial knowledge acquired from sensor data which are inherently approximate and uncertain. While techniques based on fuzzy sets are increasingly used in this domain, the use of these techniques often rests on intuitive grounds. In this paper, we show that fuzzy mathematical morphology, a theory often used in image processing but mostly ignored in the robotic tradition, can provide a well grounded approach to the treatment of imprecise spatial knowledge in robotics.
Citation
I. Bloch and A. Saffiotti. Why Robots Should Use Fuzzy Mathematical Morphology. Proc. of the 1st Int. ICSC-NAISO Congress on Neuro-Fuzzy Technologies. La Havana, Cuba, 2002.
BibTeX entry
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Email Isabelle Bloch
Email Alessandro Saffiotti
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