dc.contributorLima Cedillo, Byron Xavier
dc.creatorLópez Alarcón, Luis David
dc.date.accessioned2021-08-10T17:52:38Z
dc.date.accessioned2022-10-20T18:04:14Z
dc.date.available2021-08-10T17:52:38Z
dc.date.available2022-10-20T18:04:14Z
dc.date.created2021-08-10T17:52:38Z
dc.date.issued2021
dc.identifierhttp://dspace.ups.edu.ec/handle/123456789/20688
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4568228
dc.description.abstractThe present technical degree project, "Implementation of a control algorithm for a Line Follower robot using Neural Network", due to a pandemic, was carried out from home for students of higher cycles, especially in the subjects of intelligent systems, robotics, discrete control, to be able to carry out training based on the Line Follower robot programming using neural networks. The proposal of the degree project is based on the Implementation of a control algorithm for a Line Follower robot using Neural Network. The development of the project consists of a first part the electronic design in the Fusion 360 software and verifying the respective operation. A control algorithm is implemented based on the Mbed Studio platform with Neural Network control that will be able to center the sensors with respect to the black line and travel the entire track.
dc.languagespa
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/ec/
dc.rightsopenAccess
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Ecuador
dc.subjectRED NEURONAL
dc.subjectPD DIFUSO
dc.subjectPID
dc.subjectLABVIEW
dc.subjectFUSION 360
dc.subjectSTM32L432KC
dc.titleImplementación de un algoritmo de control para un robot Line Follower usando red neuronal
dc.typebachelorThesis


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