by Nicholas Charron

The need for fast, accurate 3D mapping solutions has quickly become a reality for many industries wanting to adopt new technologies in AI and automation. New applications requiring these 3D mapping platforms include surveillance, mining, automated measurement & inspection, construction management & decommissioning, and photo-realistic rendering. Here at Clearpath Robotics, we decided to team up with Mandala Robotics to show how easily you can implement 3D mapping on a Clearpath robot.

We develop the fastest, smallest and lightest distance sensors for advanced robotics in challenging environments. These sensors are born from a fruitful collaboration with CERN while developing flying indoor inspection systems.

Last month at IROS the SV-ROS team Maxed-Out won the Microsoft Kinect Challenge. In this post Mathieu Labbé describes the mapping approach the team used to help them win.

Davide Scaramuzza leads the Robotics and Perception Group at the University of Zurich and is Adjunct Faculty at ETH Zurich.