Nowadays, a lot of data gets recorded and stored during the construction process by doing different types of inspections on a regular basis. This process is time consuming and not very reliable, since it is dependent on the human factor. This project develops a fully autonomous robotic platform for data collection in construction sites. The proposed platform is equipped with holonomic wheels, allowing the robot to maneuver through cluttered environments in a more precise way. The robot is also equipped with a different array of sensors that allow the platform to perform autonomous navigation, such as a 120 m range LiDAR, an Inertial Measurement Unit (IMU), a depth camera and encoders on each wheel. The platform is carrying a long-range 3D scanner able to collect point clouds with RGB, thermal, and reflectance information. Everything is managed and run by ROS (Robot Operating System) nodes, interfacing with the SDK of all the different sensors. This research project is led by Borja and Samuel.