Qualitative distances and qualitative description of images for indoor scene description and recognition in robotics

Article type: Research Article

Authors: Falomir, Zoe

Affiliations: Department of Engineering and Computer Science, Universitat Jaume I de Castelló, Castelló de la Plana, Spain | Faculty of Mathematics and Computer Science, Universität Bremen, Bremen, Germany. E-mail: zfalomir@{uji.es, gmail.com}

Abstract: This thesis is focused on reducing the gap between the acquisition of low-level information by robot sensors and the need of obtaining high-level information for enhancing human–machine communication and for applying logical reasoning processes. To this end, approaches for qualitative and semantic image description and qualitative distance sensor interpretation were developed. Experimentation was carried out on different robotic platforms showing useful applications.

Keywords: Sensor data integration, fuzzy set theory, qualitative representation, image understanding, ontology, Description Logics, similarity, robotics

DOI: 10.3233/AIC-2012-0535

Journal: AI Communications, vol. 25, no. 4, pp. 387-389, 2012