Navigation control of the Khepera IV model with OpenCV in V-REP simulator
- 1 October 2018
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA)
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
This publication has 10 references indexed in Scilit:
- Vision-based mobile robot navigation through deep convolutional neural networks and end-to-end learningPublished by SPIE-Intl Soc Optical Eng ,2017
- A Khepera IV library for robotic control education using V-REPIFAC-PapersOnLine, 2017
- Teaching control in mobile robotics with V-REP and a Khepera IV libraryPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Development of a Khepera IV Library for the V-REP SimulatorIFAC-PapersOnLine, 2016
- V-REP: A versatile and scalable robot simulation frameworkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- ARGoS: A modular, multi-engine simulator for heterogeneous swarm roboticsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Virtual Robot Experimentation Platform V-REP: A Versatile 3D Robot SimulatorLecture Notes in Computer Science, 2010
- Design and use paradigms for gazebo, an open-source multi-robot simulatorPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Vision-based navigation and environmental representations with an omnidirectional cameraIEEE Transactions on Robotics and Automation, 2000
- Vision-based navigation by a mobile robot with obstacle avoidance using single-camera vision and ultrasonic sensingIEEE Transactions on Robotics and Automation, 1998