@inproceedings{4467822f2dce4c828264aeee3afc035e,
title = "Navigation control of the Khepera IV model with OpenCV in V-REP simulator",
abstract = "This article presents a navigation simulation based on computer vision of the Khepera IV robot model (KH4VREP library) in the V-REP simulator. The images acquired by the robot are processed externally by the OpenCV library through a script built in the Python programming language. This library has implemented many optimized machine learning algorithms and will now be implemented in the discipline of machine vision, so some robot speed control experiments are implemented to test this approach. The objective of this work is to introduce students to the control of mobile robots based on artificial vision.",
keywords = "Artificial vision, OpenCV, Python, Robot navigation, V-REP",
author = "Gonzalo Farias and Enrique Torres and Ernesto Fabregas and Hector Vargas and Sebastian Dormido-Canto and Sebastian Dormido",
note = "Funding Information: ACKNOWLEDGMENT This work has been funded by the Chilean Ministry of Education under the Project FONDECYT 1161584, and the Spanish Ministry of Economy and Competitiveness under the Project No. ENE2015-64914-C3-2-R. Publisher Copyright: {\textcopyright} 2018 IEEE.; null ; Conference date: 17-10-2018 Through 19-10-2018",
year = "2019",
month = jan,
day = "10",
doi = "10.1109/ICA-ACCA.2018.8609740",
language = "English",
series = "IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Carlos Munoz and Gaston Lefranc and Mario Fernandez-Fernandez and Ernesto Rubio and Cristian Duran-Faundez",
booktitle = "IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control",
}