Published Paper Details:

In recent years, the use of UAVs has significantly increased due to their wide applicability in surveillance, agriculture, search and rescue, and delivery services [1]. The versatility and efficiency of UAVs make them increasingly popular, especially in specific areas such as surveillance, agriculture, search and rescue, and delivery [2]. Effective path planning is essential for enabling UAVs to operate autonomously and navigate through unfamiliar or dynamic environments [3]. Reinforcement learning has revolutionized pathfinding in complex environments by offering credible solutions to challenging navigation problems [4]. To enhance the autonomy and efficiency of UAV operations, this study introduces an adaptive learning strategy with reinforcement learning (RL) for UAV pathfinding [5]. The proposed approach aims to make the pathfinding process adaptable to changing environmental conditions by leveraging UAV experiences [6]. The system was evaluated in simulated environments, successfully navigating through challenging operational scenarios, and demonstrating the robustness of the approach and algorithm [7]. Using adaptive learning techniques and powerful deep reinforcement learning algorithms, the system effectively learns from high-dimensional inputs to achieve precise characteristics [8]. The system learns dynamically by interacting with the environment, thus adapting the pathfinding and resulting in robust performance in real-world applications [9]. The experiments conducted in simulated environments demonstrate that the proposed system is more efficient and safer compared to traditional pathfinding algorithms [10]. This research addresses a critical gap in UAV operations by presenting a novel solution that can lead to significant gains in autonomy and effectiveness across various domains. The advancement of UAV pathfinding capabilities through the development of a robust and adaptable solution for autonomous navigation in a variety of real-world applications is a key objective of this research