Color Recognition for NAO Robot Using Sugeno Fuzzy System and Evidence Theory
Résumé
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.