Executive Summary : | The aim of the proposed project is to provide efficient path planning for multi-base multi-UAV systems in a dynamic environment using a Gravitational potential field-based method. Our proposed project consider the simultaneous path planning of UAVs located at different locations while ensuring a safe distance from other UAVs. This work designs a control strategy to perform obstacle and collision avoidance, enabling multiple UAVs to avoid obstacles and threats in the environment and maintain a safe distance from each other. The proposed solution can handle various shapes and sizes of obstacles, including cuboids, cylinders, and ellipsoids. Additionally, our approach solves the local minima problem and provides a complete solution if it exists. Finally, the proposed solution is efficient in generating short, energy-efficient, and time-efficient paths, even in complex environments. This work presents a significant contribution to the field of UAV path planning, providing a new solution to the problem of multi-UAV path planning in dynamic environments. |