Development of an Autonomous Mobile Robot for Industry 4.0 Based on ROS 2 and LabVIEW

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Published: Jan 9, 2026
Keywords:
Autonomous Mobile Robot navigation data distribution service Microsoft Excel Solver LabVIEW

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Tanayos Arisariyawong
Mechatronics and Robotics Research Laboratory, Mechanical Engineering Department, Faculty of Engineering, Srinakharinwirot University
Kangwankai Piphounnok
Exellent Center for Sustainable Engineering, Faculty of Engineering, Srinakharinwirot University

Abstract

Autonomous mobile robots (AMR) were an important part of modern manufacturing processes in the Industry 4.0 era. They can create paths and avoid obstacles on their own, providing high flexibility. However, commercial autonomous mobile robots are expensive and difficult to connect to external programs. As a result, small and medium-sized factories in Thailand cannot access this technology. Therefore, this research presents the development of autonomous mobile robots using the open-source ROS2 software to develop robot control and navigation systems, along with LabVIEW, an engineering software, to create a user interface. The LabVIEW program receives commands from the user on the computer and transmits data via a wireless network to the ROS2 program running on the autonomous mobile robot's computer for controlling the robot to the desired location. This autonomous mobile robot offers significantly reduced software costs, is highly flexible, and is expandable in the future. From the experimental results show that the LabVIEW program effectively transmits data to the ROS2 program. It can generate a map from manual control via LabVIEW. This autonomous mobile robot can efficiently create a path to its destination and avoid obstacles. For open-space area case, the average error in the x, y, φ are equal to 0.08 m, -0.97 m, -5.19o. In the case of navigation with obstacles, the average error in the x, y, φ are equal to 0.07 m, -0.97 m, -4.28o.

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How to Cite
[1]
T. Arisariyawong and K. Piphounnok, “Development of an Autonomous Mobile Robot for Industry 4.0 Based on ROS 2 and LabVIEW”, sej, vol. 22, no. 1, pp. 1–10, Jan. 2026.
Issue
Vol. 22 No. 1 (2026): January - June 2026
Section
Research Articles
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Copyright belongs to Srinakharinwirot University Engineering Journal

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