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

The Navy needs cognitive control capabilities that enable an autonomous robotic team comprised of a ground control station node and a team of UAS platforms to operate independently (or with minimal human oversight) while carrying out complex missions. A cognitive control capability needs to be developed that concurrently optimizes the balance of mission risk / performance with respect to the Navy’s mission objectives, while addressing the vehicle management, mission planning, and mission management portions of the command and control cycle for the team of UAS’. Furthermore, the cognitive control algorithm must be capable of learning in the sense that it should be able to continuously incorporate new updated information into its existing model(s) / control solution(s) to improve future mission performance. The proposed solution must enable a single ground control station or operator to simultaneously manage the missions of at least six UAS platforms, but should be readily scalable to hundreds of UAS platforms. TO this end, OKSI and WSU are partnering together to develop a Cognitive Adaptation and Mission Optimization (CAMO) capability for controlling teams of UAS platforms.