Digital Twin of a Teaching and Learning Robotics Lab
Date
2021
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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.
Description
Keywords
Industry 4.0, digital twins, LiDAR, SLAM algorithms, Gazebo, ROS, streamline processes, multiple robots, system testing