The 12th edition of the International BIM Congress (EU BIM) took place in Valencia from Wednesday May 17 to Saturday May 20, 2023.
The BIMprove project was represented by our Valencian partner Robotnik who had the chance to join the BIM week full of workshops, presentations, BIM companies, BIM professionals and Master Class to expand the project networking opportunities. Our colleague Miguel Saura Herreros, Software and R&D Engineer, participated in a workshop addressing the use of point clouds in the construction phase, where he presented his experience of capturing reality in BIM projects, sharing BIMprove as a success case.
In the picture below you can meet the autonomous mobile robot from Robotnik that laser-scan parts of the construction site. This scanning method result in precise point clouds of the construction which are then uploaded to the BIMprove backend, developed by Catenda and SINTEF.
Robotnik designs, manufactures and markets autonomous mobile robots and manipulators, capable of working autonomously in collaborative environments, sharing space with humans. Learn more about the demonstration they are implementing as part of the BIMprove project:
- Ground Robot BIMprove system integration and operation: The demo shows how the localization and navigation on ground robots works, by illustrating the integration between Bimsync and Robotnik’s Backend, in which one the robot automatically gets both 2D and 3D model and use them to locate and navigate on site. The use of 2D-3D BIM models for ground robot navigation and localization. Watch it here!
- Leica BLK 360 Point-clouds scans: The demo shows the Leica BLK360 laser scanning the scene by obtaining the point cloud, heat map and high resolution images. Through the SW Cyclone the laser scanning information is obtained and allows to export it to e57 for its interpretation. Watch it here!
- Ground-robot Data Capturing Request: The demo showcases a set of functionalities developed for the ground robotic vehicle that can be triggered in order to autonomously record a dataset.
The outcome is: Data capturing autonomous mobile robot: The rover can navigate autonomously within a known map; Extendable mission planning tool: The robot HMI is able to schedule the mission and command the needed actions in different points of interest without further user involvement; Robot- Sensor payload integration: The robot can trigger and offer data captured by mounted sensors, as well as provide different options from such sensors without the need of additional interfaces. Watch it here!
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