Common region of interest generation between mobile robots by cognitive ontology

Author

Rokunuzzaman, Md ; Sekiyama, Kosuke ; Fukuda, Toshio

Author_Institution

Dept. of Mech. Eng., RUET, Rajshahi, Bangladesh

fYear

2012

fDate

20-22 Dec. 2012

Firstpage

117

Lastpage

120

Abstract

This paper describes about common region of interest (CROI) generation between two mobile robots with the help of cognitive ontology for solving a cooperative task. In this research, both robots are observing different region of the scene and have different capabilities. In this method, robots use cognitive ontology and evaluate various semantic relations of concepts in a ROI. After evaluation, robots select the best region of interest (ROI) based on semantic relatedness and feature ambiguity value with the help of best feature selection algorithm. To make it useful in cooperation, robots generate CROI by sharing the best ROI. The experimental results showed that the method is very useful for distributed cognition which is very crucial problem in AI.

Keywords

mobile robots; object recognition; ontologies (artificial intelligence); robot vision; AI; CROI generation; cognitive ontology; common region of interest generation; distributed cognition; feature ambiguity value; feature selection algorithm; mobile robots; object recognition; semantic relatedness; semantic relations; Cognitive Ontology; Cooperation; ROI;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical & Computer Engineering (ICECE), 2012 7th International Conference on

Conference_Location

Dhaka

Print_ISBN

978-1-4673-1434-3

Type

conf

DOI

10.1109/ICECE.2012.6471499

Filename

6471499