Aplicación de un sistema de reconocimiento de formas y colores en un robot humanoide

Abstract

In this days, the sensor system implemented in a robot is very important in his performance. It is required, a set of sensors that allow a robot to develop a more complex function interacting in dynamic form with his environment. In humanoid robot, the selection and programming of a sensor system are a key factor, because they need to have a quick response to situations that are presented. Otherwise, they can lose off balance in their movements or simply do not perform the task for the delay in their movements. This paper presents the application of a vision algorithm using a CMUCAM as a sensor for recognition of shapes and colors. The recognition system was implemented in a humanoid robot. The results show are fundamental to improve the control design of humanoid movements in non-structured environments.