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US systems engineering company Peraton Labs will develop machine learning-based technology under a new agreement with DARPA.
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The contract engages Peraton to develop systems to enable ground vehicles, ships, drone swarms, robotic systems, and other long-lived physical systems to adapt to unexpected events, under the Defense Advanced Research Project Agency’s (DARPA) Learning Introspective Control program.
The technology would allow machines to update system control algorithms in real time and provide guidance to a human operator or an autonomous controller.
Peraton Labs president Petros Mouchtaris, PhD, said there is a current burden on the operator to maintain control of robotic systems when they experience sudden, unexpected damage or environmental extremes.
“Peraton Labs will research, design, implement, and test a solution called Adaptive Control with AI (ACAI) to assist operators, human or machine, in maintaining control of systems in adverse situations,” he said.
“We are excited to develop and deliver real-time adaptive control technology that provides military platforms with substantial advantages in speed, agility, and responsiveness for operations in dynamic theatre environments.”
