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This work makes a study in the usage of a learning machine and computer vision for the control of the movements of an robotic arm. The technique chosen for the learning process was the Map of Kohonen, because it is a classic technique with a self-learning capacity. The solution investigated was part of a huge problem: the learning process of tasks by articulated robots, for example the pick-and-place...
Computer Vision and Machine Learning are the key to develop autonomous robots. While engaged with a IEEE Open Challenge, in which the robots need to recognize a miniature of a cow, we saw a solution in these areas. The main contribution of this paper is the algorithm implemented to identify and follow a known object, the miniature of a cow. We are constructing an application based on Image Processing...
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