• Mapping for Autonomous Functionality

    LiDAR mapping is used for the FX250's autonomous functionality. LiDAR is far more accurate and efficient than the teach and repeat method employed by others.

What is mapping and how does it help the FX250 perform better?
Our mapping process entails gathering location information so that the locations and attributes of the space can be exhibited using 2 dimensions: latitude, longitude. 2D LiDAR survey data is more accurate and economical than traditional methods. All of these measurements can be taken with ease, generated into maps, and stored in the FX250 for use at any time.

How does the mapping process work?
In order to generate a map of any given area, a LiDAR (Light Detection And Ranging) mounted on the main chassis sends out and receives back small pulses of light. Because the speed of light is a known constant, the area is precisely measured based on the amount of time those small pulses of light take to return back to the LiDAR. Any items within the area at the time are also bounced off of, giving the map information about furniture or other structures to avoid. This process is very similar to that of a radar or sonar. Once the area is measured, the plane is sliced at the height at which the LiDAR sits on the robot, generating the most accurate 2D map possible for the given area.

What technology is used in the mapping process?
LiDARs are standard on any autonomously moving machine from self-driving cars to autonomous floor cleaners in homes. Discovery Robotics’ Software Team has developed a patented mapping module that ensures accuracy and precision in the mapping process.

After creating a map, does the robot ever need a new one?
Initially, a skilled setup team will map all necessary spaces for the customer. Minor modifications in spaces are accommodated without remapping. The robot will store the map forever. However, if major changes occur, the customer can re-map the space with remote Discovery Robotics on-line assistance.