Abstract
Assistive robots should be friendly, reliable, active, and comprehensible in order to be a friendly companion for humans. Humans tend to include uncertain terms related to direction and distance to describe or express ideas. Therefore assistive robot should be capable of analyzing and understanding the numerical meaning of the uncertain term for the purpose of creating a conceptual map for effective navigation in three-dimensional space. Therefore this paper proposes a method to understand spatial information in uncertain terms considering the three-dimensional data and a conceptual model to interpret uncertainties of the uncertain terms using conceptual factors. Experiments have been carried out to analyse the impact of conceptual factors on uncertain information interpretation. The proposed method has been implemented on MIRob platform. The experiments have been carried out in an artificially created domestic environment and the results have been analyzed to identify the behaviours of the proposed concept.
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Bandara, H.M.R.T., Sirithunge, H.P.C., Jayasekara, A.G.B.P., Chandima, D.P. (2019). A Conceptual Model to Improve Understanding of Distance Related Uncertain Information. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. Lecture Notes in Computer Science(), vol 11509. Springer, Cham. https://doi.org/10.1007/978-3-030-20915-5_45
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DOI: https://doi.org/10.1007/978-3-030-20915-5_45
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