Digital Twin of a Teaching and Learning Robotics Lab

Abstract

The advancing technologies of Industry 4.0, which includes digital twins, is gaining ground and becoming more popular in many industrial sectors. In the manufacturing industry, digital twins are used, ranging from simulation to product optimisation. This work focuses on using LiDAR data, SLAM algorithms and basic measure tape for developing a digital twin environment in the open-source platform Gazebo backed by ROS, which scientists, engineers, and students will use to streamline development process, for educational purposes and many more. The work results show a digital replica of specific areas of the Institute of Technology, where multiple robots can be integrated and controlled. Such a platform creates a foundation for improving distance learning and safe initial system testing.