Successful Testing of Autonomous UAV 

Successful Testing of Autonomous UAV 

This post is also available in: heעברית (Hebrew)

A successful flight test used artificial intelligence (AI) technologies to ‘teach’ an unmanned aircraft to detect, decide and act during a mission. The capability aims to address the Australia Defence Force’s need for rapid response, tactical route execution, along with improved location and identification capabilities in congested and contested environments.

Boeing Australia partnering with the Trusted Autonomous Systems Defence Collaborative Research Centre (DCRC), operated the flight as part of a year-long project to further unmanned technologies.

Thanks to machine learning techniques developed by the company, the unmanned systems were taught to behave and learn using simulations, so they can detect a target in the real world, and then make a decision to act or react to the environment. This technology is particularly critical for Intelligence, Surveillance and Reconnaissance missions.

According to the company, the flight tests have demonstrated the aircraft’s cognitive ability to autonomously detect and classify targets; plan a route on-board the unmanned system; then dynamically coordinate with manned and unmanned platforms to support mission execution.

“What’s particularly critical for this project is the unmanned systems ability to achieve these objectives in missions where conditions are degraded or in a denied environment,” said Professor Jason Scholz, chief executive officer of the DCRC for Trusted Autonomous Systems.