Comparative Study of Route Algorithms Applied to Drones

Abstract

This research explores the implementation of advanced path-planning algorithms, enhanced by Artificial Intelligence (AI), to optimize drone missions for rescue and exploration purposes. By leveraging AI-driven heuristics, the study addresses key challenges such as route efficiency, environmental adaptability, and resource utilization. The developed application, integrates user-friendly interfaces with interactive mapping, enabling customization of mission parameters like wind conditions, altitude, and drone autonomy. Tested algorithms, including Nearest Neighbor Traversal and its variations, demonstrated diverse performance strengths, with AI playing a pivotal role in overcoming local optima and improving overall results. The research highlights the transformative potential of combining AI with drone technology to enhance operational efficiency in critical scenarios. Future work aims to address computational limitations and expand adaptability for complex environments.