Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Color Recognition for NAO Robot Using Sugeno Fuzzy System and Evidence

Authors
Than-Long Nuyen, Reda Boukezzoula, Didier Coquin, Stephane Perrin
Corresponding Author
Than-Long Nuyen
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.166How to use a DOI?
Keywords
NAO robot, Sugeno fuzzy system, Demp-ster-Shafer (DS), color recognition, information fusion.
Abstract
This paper examines the problem of recognition of col-ored objects for the NAO humanoid robot using camer-as. Based on the ability of fuzzy systems to approxi-mate any mapping, the input-output behavior between the triplet {H, S, V} and the linguistic output colors is represented by a Sugeno fuzzy system. In order to im-prove the recognition performance of the robot, more cameras are used. In this case, a decision mechanism based on the Dempster-Shafer (DS) theory is employed to resolve the conflict between cameras. The feasibility of the proposed methodology has been experimentally validated with a real-time implementation.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Than-Long Nuyen
AU  - Reda Boukezzoula
AU  - Didier Coquin
AU  - Stephane Perrin
PY  - 2015/06
DA  - 2015/06
TI  - Color Recognition for NAO Robot Using Sugeno Fuzzy System and Evidence
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1176
EP  - 1183
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.166
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.166
ID  - Nuyen2015/06
ER  -