Learning from the Web: Recognition method based on object appearance from Internet images

In this work an Object Learning and Recognition method for a Humanoid is presented. This method aims to take advantage of the Cloud Resources, since it is based on image web search in order to build training sets for learning objects´ appearance. In case Internet access is unavailable, the robot asks human to show the objects and acquires the images using its camera. Through this technique, our method aims to be a flexible and natural framework for Human-Robot Interaction and to provide as much autonomy as possible to the robot.