Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms

OKSI and Professor Matthew Taylor will develop the Cognitive Adaptation and Mission Optimization (CAMO) command and control tool for teams of UAS platforms. CAMO will incorporate existing databases (e.g., NASA population maps, FAA airspace maps, etc.) as well as real-time data from UAS into a learning-based cognitive control solution that maximizes mission performance while minimizing risk for a team of heterogeneous UAS. Our cognitive learning solution will leverage Decentralized Markov Decision Processes (DEC MDP) and Decentralized Partially Observable Markov Decision Process (DEC POMDP) algorithms to provide optimized cognitive planning for multiple UAS missions while providing an explicit probability outputs for anticipated mission performance / success.