Artificial Intelligence (AI) Powered Adaptive Flight Controller for Novel Unmanned Aerial Vehicle (UAV) with Commercial and Humanitarian Applications

The project entails research into machine learning techniques to control unmanned aerial vehicles (UAVs) with complex flight characteristics for surveillance and cargo transportation applications. In addition, it advances networked UAV fleet control and optimization methodologies to improve the potential of UAV fleets to perform coordinated tasks efficiently and reliably.

A Novel Approach to the Design of an Unmanned Aerial Vehicle for Humanitarian Initiatives

Development of an engineering model using data from a piloted aircraft to facilitate the creation of a flight controller for the aircraft, allowing automated flight.