Simulator of mobile robots controlled by Artificial Neural Networks to learning courses in robotics

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2021-06-25T12:39:01Z
dc.date.accessioned2022-12-19T23:00:25Z
dc.date.available2021-06-25T12:39:01Z
dc.date.available2022-12-19T23:00:25Z
dc.date.created2021-06-25T12:39:01Z
dc.date.issued2020-01-01
dc.identifier2020 Xiv Technologies Applied To Electronics Teaching Conference (taee2020). New York: Ieee, 6 p., 2020.
dc.identifier2573-4059
dc.identifierhttp://hdl.handle.net/11449/210078
dc.identifierWOS:000623210700016
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5390675
dc.description.abstractA mobile robot simulator was developed in a computer graphics environment as a didactic tool able to assist the teaching and learning in disciplines that involve mobile robotics. It is also useful in validating control algorithms before testing on a real robot. The developed interface allows the user to adjust the parameters of the robot, the controller and exchange maps with different obstacles. In addition to the kinematics and 2D modeling of the virtual mobile robot with wheels, three sensors were used that indicates the robot's distance to obstacles and walls. The robot controller uses a Multilayer Perceptron Neural Network (MLPNN) for autonomous navigation avoiding the collision with obstacles.
dc.languageeng
dc.publisherIeee
dc.relation2020 Xiv Technologies Applied To Electronics Teaching Conference (taee2020)
dc.sourceWeb of Science
dc.subjectComputational simulation
dc.subjectRobotics course
dc.subjectVirtual mobile robot
dc.subjectMultilayer perceptron neural networks
dc.titleSimulator of mobile robots controlled by Artificial Neural Networks to learning courses in robotics
dc.typeActas de congresos


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