AUTONOMOUS DRONE NAVIGATION USING AI: REVOLUTIONIZING LAST-MILE DELIVERY IN E-COMMERCE AND LOGISTICS

In integrating artificial intelligence (AI) into autonomous drone technology, researcher seen how autonomous drone technology switched from last mile delivery for delivering goods to enhance efficiency, reduce the operational costs, and minimize environmental impact. In this study, researcher try to understand the applying of AI ways on navigation systems based on deep learning, reinforcement learning, and computer vision that make it possible to optimize a route and also to keep away from obstacles. In the design and testing of AI-powered drones, the research uses a mix of simulated environments and actual environments to determine the performance in urban and rural settings. Results show that AI based navigation greatly enhances the delivery speed, energy and accuracy as opposed to conventional delivery approaches. The discussion also enumerates the advantages and disadvantages of using AI powered drones given the regulatory barriers, weather constraints, public acceptance issues. Future research can be focused on making AI more adaptable in dynamic environments by blockchain integration for the secure tracking of package as well as use of 5G network for real-time control. The recommendations are: to develop standardized regulations for drone logistics, enhance the collaboration between the AI researcher and the policymakers and also improve the public awareness of the autonomous drone operations. The results lay the grounds for smart logistics to arrive at sustainable solutions for the last mile delivery of the future.