This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award of $300,000 supports research to integrate unmanned aircraft systems (UAS) into congested airspace near airports. The key objectives are to develop advanced motion planning algorithms to coordinate the navigation and control of manned and unmanned aircraft during landing sequences, while also managing pilot cognitive load and increasing operational efficiency. The research focuses on three main areas: creating a numerical solver for optimal control, mathematically modeling informal pilot navigation rules, and integrating cognitive state analysis into UAS motion planning. The anticipated outcomes include enhancing air traffic management, national security, and smart transportation systems through UAS integration. This multidisciplinary project also aims to foster innovation in autonomous systems research and provide educational opportunities for students. The award period is from October 1, 2024 to September 30, 2026.
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