HUNSTVILLE, Ala. Dynetics, a wholly owned subsidiary of Leidos, completed a third test flight series in which the Gremlins Air Vehicle (GAV) and Gremlins Recovery System flew three more times. The system has totaled seven flight hours during the month of November. The test took place at Dugway Proving Ground in Utah for the Defense Advanced Research Projects Agency (DARPA).

WASHINGTON. DARPA’s Robotic Autonomy in Complex Environments with Resiliency - Simulation (RACER-Sim) project is seeking innovations in technologies that bridge the gap from simulation to the real world andreduce the cost of off-road autonomy development. According to the company, DARPA is inviting proposals for solutions that support these goals.

CENTENNIAL, Colo. SEAKR Engineering, Inc. (SEAKR) announced it developed on-orbit technology demonstration of Pit Boss supercomputing processing hardware in nine months as part of the Defense Advanced Research Projects Agency (DARPA) Blackjack Program.

ROCKVILLE, Md. CEVA, Inc., licensor of wireless connectivity and smart sensing technologies, announced an open licensing agreement with the U.S. Defense Advanced Research Projects Agency (DARPA) to accelerate technology innovation for DARPA programs.

ARLINGTON, Va. The Defense Advanced Research Projects Agency (DARPA) recently finished field testing of a network-technology program that demonstrated successful use of new software that can bridge multiple disparate radio networks to enable communication between incompatible tactical radio data links, even if an adversary is trying to jam them.  

U.S. ARMY DUGWAY PROVING GROUND, Utah. The Defense Advanced Research Projects Agency (DARPA) has announced that in recent tests, a number of X-61A Gremlins unmanned aerial systems (UASs) failed to link up in flight with a recovery system installed on a C-130 Hercules cargo aircraft, but that they were actually close to success on multiple occasions.

ARLINGTON, Va. The Defense Advanced Research Projects Agency (DARPA) awarded contracts to five entities to develop artificial intelligence (AI) algorithms enabling teams of manned and unmanned combat aircraft to conduct aerial dogfighting autonomously.