Combination of Sugeno fuzzy system and evidence theory for NAO robot in colors recognition

Abstract

Nowadays, robotics technologies act more and more important roles in our industrial life. However, developing a robot with intelligent behaviors that follow human perception and reasoning is really a challenge. This paper introduces an artificial intelligence technique that helps a NAO robot intuitively recognize the color of a required object. Firstly, fuzzy logic is used to infer a linguistic color from pixel values. After that, evidence theory is employed to fuse fuzzy results from multiple cameras to make better decision. These methodologies obtain a good recognition quality through real time experimentations.