SPECIAL SESSION #1
Faculty of Mechatronics, Armament and Aerospace, Military University of Technology, Poland
Unmanned Aerial Vehicles (UAVs), Unmanned Aircraft Systems (UASs), Remotely Piloted Aircraft Systems (RPASs), or commonly used "drones" all describe the same thing: an aircraft or aircraft system controlled from a remote without a human pilot onboard. No matter what you call them, they are becoming aerospace's most popular, skyrocketing sector. JARUS, EASA, FAA, and other national CAAs introduce a law for UAV operations to secure all airspace users' safety. SESAR has launched a U-Space demonstrators network to speed up the implementation of the Unmanned Traffic Management (UTM) systems. At the same time, scientists, researchers, and developers all over the World work on new measurement sensors, actuators, navigation, and control systems to supp ort reliability, simplify control, and include maximum autonomy in flight. This Special Session focuses on their work to present modern metrology and instrumentation developed for Unmanned Aerial Vehicles.
Lt. Col. Konrad Wojtowicz is an assistant professor and researcher at the Faculty of Mechatronics, Armament, and Aerospace of the Military University of Technology, Warsaw, Poland, where he is currently serving as an Associate Dean for Students and International Affairs. He is a former Laboratory of Avionics and Air Armament Head. He has participated in UAV development projects funded by the EU and NATO. He has been a speaker in ATC projects funded by NATO in the field of UAVs.
He received an M.Sc. degree in mechatronics, aeronautics and astronautics, air armament, and a Ph.D. in mechanical engineering in the area of HIL simulators for UAV mission and control system computers.
He has participated in research on developing an aircraft avionics system and simulation environment. He has been assigned to support military commissions as an expert in the Ministry of Defense and Air Force HQ. He conducts his research on avionics software development, software engineering, deep learning, and simulators.