Drone-Assisted Path Planning Optimization for Mobile Robots in Dynamic Scenarios
Murat Bakırcı, Muhammed Mirac Özer · 2023
In this study, the seamless integration of drones into military distribution operations is facilitated by coordinating the movements of mobile robots in both time and space. The approach consists of two key stages: first, the development of an iterative exact solution methodology to establish the optimal route for the mobile robot, and second, the optimization of the drone's route through a mixed integer linear programming model. The performance of this approach is assessed by initiating the process with the shortest route for the mobile robot and iteratively refining assignment and routing decisions. The primary objective of this study is to enhance the simultaneous deployment of drones and mobile robots within military zones. By doing so, the aim is to harness the full potential of unmanned aerial vehicles (UAVs) more efficiently and lay a solid foundation for future technological advancements.