Emesent :: Autonomous Mobile Mapping, Drone Autonomy & High-Accuracy LiDAR Scanning Technology

Emesent is a world leader in autonomous mobile mapping, drone autonomy, and high-accuracy LiDAR scanning technology. Founded in 2018 as a spin-out from Australia’s CSIRO Robotics and Autonomous Systems division, the company has grown into a global provider of Physical AI solutions that enable robots and drones to map complex, GPS-denied environments with speed and precision. Headquartered in Brisbane, Australia, Emesent serves mining, engineering & construction, geospatial, public safety, oil & gas, and defense industries with award-winning hardware and software that deliver survey-grade data without putting personnel in hazardous locations.

The company’s flagship robot-based product is the Hovermap platform, a versatile, smart mobile scanning unit that combines advanced SLAM (Simultaneous Localization and Mapping), autonomous flight, and collision avoidance technologies. Hovermap can be deployed in multiple modes — handheld, drone-mounted, backpack, vehicle-mounted, or integrated with robots such as Boston Dynamics Spot — to map underground mines, tunnels, stopes, bridges, and confined spaces. Its latest innovation, the Emesent GX1, is positioned as the world’s most accurate mobile LiDAR scanner, offering superior point-cloud quality and efficiency for high-volume Scan-to-BIM, reality capture, and change-detection projects.

Supporting the hardware is Emesent’s software ecosystem, including Aura (data processing), Commander (mission control), and Cortex (autonomy intelligence). The company also offers a wide range of plug-and-play accessories such as drone RTK, protective cages, LHD and cavity-monitoring mounts, long-range radio, and 360° imaging kits. Emesent’s solutions have been deployed worldwide for underground mine production, stockpile measurement, convergence monitoring, infrastructure as-builts, and emergency response, consistently delivering productivity gains, risk reduction, and superior data quality compared with traditional methods.