The US Navy is figuring out new ways to turn human battle plans into orders autonomous aircraft can follow
The system can "reduce the burden on our operators, improve interoperability and help bring collaborative autonomy closer to operational use," an official said.
Jamie Cosgrove/Portfolio Acquisition Executive Munitions The US Navy tested a new way for human planners to give autonomous aircraft orders.
It cuts down on the work required to turn a battle plan into instructions the aircraft can understand.
The Navy hopes the technology will make autonomous aircraft easier to use in future missions.
The US Navy has a new system that translates human battle plans into instructions that autonomous aircraft can understand and follow.
The system's purpose is to make mission planning simpler for human operators by allowing them to communicate more easily.
It lets operators focus their efforts on objectives instead of translating plans into acceptable formats for specific aircraft.
The Navy anticipates it will make autonomous aircraft easier to incorporate into the fleet.
The Navy's Portfolio Acquisition Executives Munitions, which oversees naval weapons and strike capabilities, said on Tuesday that the service had successfully demonstrated the new Collaborative Autonomy Mission Planning tool, or CAMP.
In a new release, officials said CAMP was shown off during a maritime environment test at Point Mugu Sea range in California earlier this month.
During the exercise, CAMP was connected to General Atomics Aeronautical Systems Inc.'s MQ-20 Avenger uncrewed combat aerial vehicle, which has been used as a test "loyal wingman" aircraft in the US Air Force's Collaborative Combat Aircraft program .
The Navy demonstrated the entire process, from developing the mission plan to sending it to the Avenger and reviewing the results.
"CAMP is about making autonomy more usable by integrating into mission environments with both manned and unmanned platforms," Capt.
Todd Keith, program manager of the Strike Planning and Execution Systems team under the PAEM, said, per the release.
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