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This research explores the synergistic utilization of LiDAR technology with the Robot Operating System (ROS) for transformative applications in both efficient building construction floor measurement and the operation of autonomous mobile robots in the construction environments. The proposed system involves mounting LiDAR sensors on mobile robots controlled by ROS, enabling autonomous or remote navigation through spaces. This integration facilitates the creation of accurate 3D models of floor surfaces, enhancing precision and efficiency in construction processes. The structural components, including Raspberry Pi, LiDAR sensor, L298 Motor Driver, MPU 9250, and 12V Lithium-ion Battery, form a robust foundation. Python, employing object-oriented programming, governs robot behaviour, sensor interfacing, and LiDAR data processing. The system's advantages encompass precision, efficiency, real-time information, safety, and flexibility, with applications ranging from floor planning and construction progress monitoring to quality control and safety enhancement. The floor measurement system integrated with the ROS SLAM helps in autonomous functioning of the system. This helps the elimination of man power in sensitive and dangerous areas.
Saksham Sood (Fri,) studied this question.
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