AFWERX Solicits Information on Automation Technologies Ahead of Autonomy Prime Launch
AFWERX is seeking information on technologies that can automate and improve the Department of the Air Force’s testing capability for aircraft, spacecraft and ground vehicles. The request for information was released ahead of the AFWERX Autonomy Prime program launch. Autonomy Prime aims to partner with the industry to develop autonomy solutions that will enable rapid adoption of new capabilities to address key technology gaps in the military, AFWERX said.
The program will introduce competitions that interested companies can join by demonstrating their offerings for an opportunity to secure funding or contracts. “We recognize that many of the technical functions for autonomy apply across a large number of Air Force missions and commercial applications,” said Lt. Col. Tom Meagher, AFWERX Prime division chief. “Finding those overlaps and casting a wide net for solutions enables us to identify the most promising capabilities.”
According to the RFI, AFWERX is interested in sensors, communication technologies and software algorithms, among other autonomy technologies, for testing and development. It also seeks capabilities that may enhance the DAF’s test infrastructure, including testbed aircraft, digital engineering or modeling, and simulation. Companies may submit responses until Oct. 31.
AFWERX uses Agility Prime as a pattern for the new program. Agility Prime aims to accelerate the development of commercial electric vertical takeoff and landing aircraft through industry collaborations.
“We want to follow the philosophy in Agility Prime of forging new partnerships to accelerate development of dual use technologies and apply it to one of the primary focus areas of the department in the near future – autonomy,” said Sterling Alley, technology transition lead of the Prime program.
Category: Digital Modernization
Tags: AFWERX Agility Prime Autonomy Prime Department of the Air Force digital engineering digital modernization request for information software algorithms