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Common region of interest generation between mobile robots by cognitive ontology

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.