AI Co-Pilot manufacturer and Drone manufacturer sign MOU

By Airial Robotics | November 03, 2022

Artificial intelligence (AI) specialist Archangel Imaging and drone manufacturer Airial Robotics have signed an MOU of cooperation for integrating advanced AI Co-Pilot capabilities into unmanned aircraft.

The strategic partnership will support the development of technologies integrating Artificial Intelligence-based (AI) Co-Pilots into drone navigation systems. This development will enable beyond visual line of sight (BVLOS) and autonomous operations of the drone, even in environments when GPS is being denied (jammed) or spoofed.

GPS jamming or spoofing is occurring more and more frequently and is increasingly easy to do. This partnership will help overcome the vulnerabilities of GPS for autonomous or BVLOS operations and enable resilient operations independent of location or environment.

Archangel Imaging’s Xnaut GENIE AI Co-pilot is designed to work with any drone. It is a small (sub 2kg) payload that can provide a GPS NMEA feed to the autopilot on the platform.

Airial Robotics’ range of drone is based on merging the technologies of very energy efficient autogyros and helicopters in order to operate especially beyond visual line of sight over populated areas.

Charles Smith, Chief Commercial Officer at Archangel Imaging, said “Collaboration is at the heart of everything we do at Archangel Imaging, and we are delighted to announce this formal relationship with Airial Robotics. This is our first such agreement since opening our first US office and signals the start of an exciting time in our international journey.

Joerg Schamuhn, CEO at Airial Robotics, said that this cooperation with Arch Angel was enabled through the Genius NY UAS accelerator where we met first. The collaboration is a result of working together with the goal to solve a major problem for BVLOS flight with unmanned aerial vehicles.  Arch Angel superior technology fits well into the avionic architecture of our Gyrotrak aeroplanes making them safer in complex environments.