The application of robotics, particularly drone swarms, in operational settings presents a
frontier in leveraging collective intelligence for complex spatial tasks. While Deep …

In recent years, the drone swarm has experienced remarkable growth, finding applications
across diverse domains such as agricultural surveying, disaster rescue and logistics …

Unmanned Aerial Vehicles (UAVs) are increasingly being used in many challenging and
diversified applications. These applications belong to the civilian and the military fields. To …

In recent years, there has been significant development in autonomous capabilities for
drones. The ability of drones to operate autonomously has the potential to revolutionize …

Unmanned Aerial Vehicles (UAVs) are increasingly being used in many challenging and
diversified applications. These applications belong to the civilian and the military fields. To …

Autonomous modeling of artificial swarms is necessary because manual creation is a time
intensive and complicated procedure which makes it impractical. An autonomous approach …

Swarm intelligence has been applied to replicate numerous natural processes and relatively
simple species to achieve excellent performance in a variety of disciplines. An autonomous …

This research presents an innovative application of deep reinforcement learning (DRL) for
multi-objective mission planning in UAV swarms, a subject at the forefront of emerging …

View Video Presentation: https://doi. org/10.2514/6.2023-3623. vid As the demand for
unmanned aerial systems (UAS) and urban air mobility (UAM) increases rapidly, the …

This project aims to develop a system for autonomous drone control that focuses on the
problem of drone obstacle avoidance. The successful development of such a system is …