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A mobile robot controlled by artificial neural networks in a virtual graphical environment

Grant number: 18/14200-5
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Effective date (Start): December 01, 2018
Effective date (End): November 30, 2019
Field of knowledge:Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
Principal Investigator:Suely Cunha Amaro Mantovani
Grantee:Lucas Favi Bocca
Host Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil


The proposal of this work of Scientific Initiation consists in the implementation of a navigation system of an autonomous mobile robot that uses a controller by Artificial Neural Networks in a virtual environment. The control of the actuators of the virtual mobile robot, is done by an algorithm using Artificial Neural Networks programmed in Graphical User Interface (GUI). The information that feed the Neural Network is given by the sensors of the robot. The model used in the work comes from a real prototype consisting of two side wheels, each coupled to a dc motor, a silly wheel in the front and three ultrasonic distance sensors that assist the robot in the diversion of obstacles. The virtual model must move around and avoid obstacles created in the virtual environment using Neural Network properly trained with a database containing the information of distances of the sensors of the real robot, whose result must be visualized on the screen of a computer.

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BOCCA, LUCS FAVI; LEITE, JONATAS BOAS; AMARO MANTOVANI, SUELY CUNHA; ALVES, GR; FIDALGO, AV; FELGUEIRAS, MC; COSTA, R. Simulator of mobile robots controlled by Artificial Neural Networks to learning courses in robotics. 2020 XIV TECHNOLOGIES APPLIED TO ELECTRONICS TEACHING CONFERENCE (TAEE2020), v. N/A, p. 6-pg., . (18/14200-5)

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