Fusion BASED AGV Robot Navigation Solution Comparative Analysis and Vrep Simulation
- 28 December 2022
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Today, Automated Guided Vehicle (AGV) robots are integral to many factories. One of the basic problems of these robots is accurate navigation, which, in addition to creating security in performing tasks, it helps the robot to manage the battery power and energy and move on a predetermined path. Over the various method, the visions are based on good performance, recently been widely used. In this research, a simple but effective fusion method as the combination of vision(camera) and infrared (IR) sensors with the minimum number of sensors is proposed and implemented. The proposed method has been simulated and evaluated using the Vrep simulator with real dimensions of our previous design AGV system named Hongma and the Python API. In the simulation, the proposed method was carried out. In the experiment, five paths named Circle, Elliptical, Spiral,8 shapes, and Special path, different paths with different complexity were tested, and the experiment aimed to find the maximum speed at which the proposed algorithm and the vision sensor (camera sensors) can track the path with a 100% success rate. The results obtained in the experiment show the fusion method’s effectiveness over the five mentioned scenarios in tracking the planned path compared to the routine vision method.Keywords
This publication has 23 references indexed in Scilit:
- Design and Development of Intelligent AGV Using Computer Vision and Artificial IntelligencePublished by Springer Science and Business Media LLC ,2017
- Visual servoing line following robot: Camera-based line detecting and interpretingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- The vision guidance and image processing of AGVJournal of Physics: Conference Series, 2017
- PID control applied on a line-follower AGV using a RGB cameraPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Vision Guidance System for AGV Using ANFISLecture Notes in Computer Science, 2012
- Automatic guided vehicle control by vision systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Vision-based system for line following mobile robotPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Evolving a Vision-Based Line-Following Robot ControllerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Real-time road lane recognition using fuzzy reasoning for AGV vision systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- A study for AGV steering control and identification using vision systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002