RoboFlat allows engineers, contractors, and building owners to calculate concrete floor flatness and identify areas that need remediation. Designed for use in robotic warehouses and distribution centers that need critical-tolerance concrete floors, RoboFlat helps ensure that robotic warehouses are built to specification.

With RoboFlat, the floor flatness testing process is now streamlined. Simply upload your scanned point cloud data, from any scanner manufacturer, select the standard that you would like to apply, and specify any necessary parameters. RoboFlat will automatically process the data, calculate the measurements, and generate detailed reports, along with contour maps, heat maps, and logs.

With RoboFlat, contractors can quickly verify that their projects are being built correctly. Key features include:

• Convenient anytime, anywhere access. Scanned floor data can be uploaded from any browser. We also provide a deadline delivery option to help with tight deadlines.
• Customizable and Flexible. RoboFlat is customizable to suit the specific needs of your building, and flexible enough to handle free movement floors for robotic systems.
• Device agnostic. This agnostic solution is compatible with all scanner manufacturers, allowing you to use the scanner that you prefer to get the job done.
• Large Scale. RoboFlat can process the point cloud of the entire floor while delivering the high performance and scalability that you need to ensure the floor meets exacting specifications.
• Saves Time. With this innovative technology, calculations could be fed directly into concrete leveling machines to facilitate real-time remediation.

RoboFlat requires a registered, cleaned, and clipped point cloud in e57 format.

Note: Before preparing point cloud files (.e57 ) for upload, please ensure you are connected to a high-speed and stable internet connection. Uploading large files requires a significant amount of bandwidth and uninterrupted connectivity to prevent data loss, corruption, and/or extended upload times.

Due to how RoboFlat generates test grid points from the source point cloud, it is imperative that each file is prepared correctly to ensure accurate testing and results. Please be sure to follow the guidelines below before uploading a point cloud to your dataset.