J. M. Perez Oria

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The mathematical model of an electric vehicle, as well as the control system for avoiding pedestrians in urban traffic is described. The vehicle is modeled as a continuous system consisting of several subsystems. In addition, a set of sensors and actuators along with a two-level discrete control system are modeled. Based on this model, a pedestrian(More)
The work consists in the preliminary development of a fuzzy system capable of taking decisions to avoid collisions or to minimize his damages, dues to lack of attention of the driver so increasing the active safety of vehicles fitted with it. The system is based on the use of some simple and economical ultrasound transducers as sensor elements for helping(More)
This work explains an industrial application of neural networks for use in a robotic pick-up process. The neural network has to obtain the pose of a piece in order for it to be picked up by a robot arm. Compared with other methods, the use of neural networks permits obtaining a quick estimation of this pose. This work evaluates different configurations of(More)
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