Air Force Institute of Technology awards MacAulay-Brown a five-year autonomy and navigation technology contract

MacB logo 112MacAulay-Brown, Inc. (MacB), a Dayton, OH-based national security company delivering advanced engineering services and product solutions to Defense, Intelligence, Special Operations Forces, Homeland Security and Federal agencies, announced today that it has been awarded a prime contract for the Air Force Institute of Technology’s (AFIT) Autonomy and Navigation Technology (ANT) Center. This is new work for MacB, who will be working closely with teammate The Perduco Group. Total contract value is $11 million over five years.

AFIT is the Air Force’s graduate school of engineering and management, and its institution for technical and professional continuing education. The AFIT ANT Center is a forward-looking research facility that identifies and solves problems in navigation, autonomy and cooperative controls, with particular focus on effectively flying Unmanned Aerial Systems (UAS).

MacB is charged with providing autonomy and navigation research and development on three research points:

o   Autonomous and cooperative systems

o   Non-GPS precision navigation

o   Robust Global Navigation Satellite System (GNSS)/Navigation Warfare (NAVWAR)

Work performed will include software algorithm development, technology prototyping and flight testing of autonomy and navigation systems. The goal is to advance air, space, and cyberspace power for the U.S. armed forces and global partners. The research and analysis will enhance the evolution of navigation and autonomy technologies, impacting weapon systems across the Department of Defense (DoD).

“We look forward to providing the technical and management solutions required by AFIT ANT,” said Tim Lawrence Senior Vice President and General Manager for the Advanced Technology Group at MacB. “Our team capabilities will be used to help AFIT develop these state of the art technologies as we support the development of sophisticated prototypes, navigational research and algorithms needed to meet and exceed expectations.”