Automated Guided Vehicle (AGV) System Based On Simultaneous Localization And Mapping (SLAM)

Mohd Fozi, Airini An Nadrah (2017) Automated Guided Vehicle (AGV) System Based On Simultaneous Localization And Mapping (SLAM). Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Automated Guided Vehicle (AGV) System Based On Simultaneous Localization And Mapping (SLAM).pdf - Submitted Version Download (996kB)

Abstract

There are many reasons related to the creation of Automated Guided Vehicles (AGVs) around the world. Most of the reason is by overcoming the logistical and problematic issues that occur frequently in the workplace and to improve the facilities provided at the workplace. In the industry, AGV can facilitate physical tension in human workers by performing tiresome tasks to be more effective without any indication of fatigue coming in. Their movements can be expected to encourage or send items to work cells at factories. The main focus of this project is to present a case study of a Simultaneous Localization and Mapping (SLAM) on vehicle that will operate in real-world environments. The SLAM was implemented to provide localization estimates in environments, where there are static landmarks that are only rarely recognized by the vehicle or robot. Thus, SLAM can make up the robot system such as obstacle avoidance, navigation and other function on the future. The project is tested and verified in a curtain room with Robot Operating System (ROS) using sensor RPlidar laser scanner A2. The project includes also a general discussion on how SLAM can be used in room with vehicle. The software development is using Linux OS in Ubuntu to run the ROS and SLAM. As a conclusion, this project is design to consider features that move in the environment using SLAM visual mapping.

Actions (login required)

View Item