Model Overview

Easy-to-use cloud solution for quickly and accurately calculating the flatness of concrete floors required for robotic warehouses.

RoboFlat requires a registered, cleaned, and clipped point cloud to provide accurate results.

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.
Required Inputs

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.

  • Register - The source point cloud data should be registered to an accuracy level that will meet the client’s expectations. If there are misalignments in the registration, it will impact how RoboFlat chooses best fit points from the data in the source point cloud. RoboFlat outputs a DXF file with graphics that represent each test taken across the full length and width of the point cloud. This file should align with your CAD program so you can analyze the test results within the context of the floor plan drawing.
  • Note: RoboFlat works in metric units, so if the floor plan is not in meters, you will need to apply the appropriate scale to the DXF file for it to align with the units used in the drawing.

  • Clean - The source point cloud should be free from any foreign material, leaving only the floor surface that is to be tested. Items to be removed could include cords, pallets, tarps, or areas where concrete was not poured. The source point cloud should be unified into one single entity before creating an e57. The unification process should be used to reduce the minimum data spacing to 5mm.
  • Clip - The source point cloud should only include data that is valid for the test that is to be performed and should exclude data for areas of the floor you do not want tested. Some floor specifications may prohibit testing within a specific distance of structures such as walls, floor edges, construction joints, or column bases.
Expected Output
  • Full Results - Excel file
  • Full Results - DXF file
  • Related PNGs to support heat / contour maps
  • Customizable Report for stakeholders
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