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AI-Powered Obstacle Detection for Tethered Drones: KEF Robotics Revolutionizes Military Surveillance

Dec 03, 2023 - dronelife.com
KEF Robotics, a Pittsburgh-based software company, is developing an AI-powered system to guide tethered drones and help them avoid obstacles. The system, funded by the U.S. Department of Defense, uses machine-learning algorithms to detect potential hazards such as tree limbs or low-hanging traffic lights. The company is using the Falcon simulator by Duality AI to train its system to navigate real-world situations. The system is currently in the phase between laboratory testing and conducting a prototype demonstration in an operational environment.

The system includes a large number of cameras to build a complex map of the environment in real time. The tethered drones provide many advantages over untethered UAVs, including the ability to power the drone from a ground vehicle and a secure data link between the aircraft and the ground vehicle. The Army is looking to deploy these drones with its next generation of combat vehicles, which requires solving the obstacle-avoidance problem. KEF is one of several companies competing to develop such a system for the Army.

Key takeaways:

  • KEF Robotics is developing an AI-powered system to guide tethered drones and help them avoid obstacles. The system is being funded by the U.S. Department of Defense.
  • The system uses a large number of cameras to build a complex map of the environment in real time, which is one of the biggest challenges faced by the system designers.
  • The company is working under a program established by the U.S. Army’s Next Generation Combat Vehicle Group, with the aim to provide each vehicle with “its own tiny air force”.
  • While the initial use of the software will be for military applications, the company aims to eventually offer the system to commercial markets.
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