HADRON: Human-friendly Control and Artificial Intelligence for Military Drone Operations
Royal Military Academy of Brussels（布鲁塞尔皇家军事学院）
Ana M. Casado Faulí, Mario Malizia, Ken Hasselmann, Emile Le Flécher, Geert De Cubber, Ben Lauwens
备注：
4 pages, 2 Figures and 1 table. This work has been accepted at the Workshop Variable Autonomy for Human-Robot Teaming held at the 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2024)
As drones are getting more and more entangled in our society, more untrained users require the capability to operate them. This scenario is to be achieved through the development of artificial intelligence capabilities assisting the human operator in controlling the Unmanned Aerial System (UAS) and processing the sensor data, thereby alleviating the need for extensive operator training. This paper presents the HADRON project that seeks to develop and test multiple novel technologies to enable human-friendly control of drone swarms. This project is divided into three main parts. The first part consists of the integration of different technologies for the intuitive control of drones, focusing on novice or inexperienced pilots and operators. The second part focuses on the development of a multi-drone system that will be controlled from a command and control station, in which an expert pilot can supervise the operations of the multiple drones. The third part of the project will focus on reducing the cognitive load on human operators, whether they are novice or expert pilots. For this, we will develop AI tools that will assist drone operators with semi-automated real-time data processing.
Enhancing Drone Light Shows Performances: Optimal Allocation and Trajectories for Swarm Drone Formations
Aerospace Engineering Department, Faculty of Aeronautics and Astronautics, Kocaeli University（航空航天工程系，航空航天学院，科伊亚利大学）；Interdisciplinary Research Centre for Aviation and Space Exploration (IRC-ASE), KFUPM（航空与航天探索交叉研究中心（IRC-ASE），国王费萨尔大学）
Qualitative and Quantitative Risk Analysis and Safety Assessment of Unmanned Aerial Vehicles Missions over the Internet
Jinan University（暨南大学）；University of Tunis El Manar（突尼斯马纳尔大学）；National Institute of Applied Sciences and Technology, University of Carthage（迦太基大学应用科学与技术国家研究所）；Prince Sultan University（苏丹王子大学）；CISTER/INESC TEC；ISEP-IPP（波尔图理工学院工程学院）；National School of Electronics and Telecommunication（国立电子与电信学院）
