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Fork Agv: Estimation Of Combined Magnetic Sensor With Vision Guide Applied On Automatic Mobile Transporter For Navigation And Accurate Positioning

Mohamad Nasyir Tamara, Anhar Risnumawan, Niam Tamami, A. Basith Abdurrohman

Year
2021
Citations
4

Abstract

The project creates a Fork AGV robotic navigation system that aims to increase the speed of goods mobilization and effectiveness at operational costs and reduce the high level of error in the world of warehousing and industry then replace it with the creation of an automatic integrated navigation and control system of AGV robots. This AGV robot prototype using navigation with a combination of lIDAR sensor for localization and environmental mapping processes, cameras to detect objects that will be targeted by robots and magnetic sensor pins that will be used by Fork AGV robot to estimate and accurate position of robots that will become a guide to the operational motion of the Fork AGV robot. The use and development of the sensor can make a Fork AGV robot has better and more stable capabilities and performs an expansion and improvement of the system from an existing AGV robot.

Keywords

Fork (system call)RobotMobile robotComputer scienceAutomated guided vehicleArtificial intelligenceComputer visionReal-time computingControl engineeringEngineering

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