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
- 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.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
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 - 10.2991/ifsa-eusflat-15.2015.166 ID - Nuyen2015/06 ER -