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Drone Navigation Using DRL by Nanapollu Gowthami is a document available to read on EtoBox.

This research presents a framework for autonomous drone navigation using Deep Reinforcement Learning (DRL), enabling drones to adaptively learn optimal flight paths in dynamic environments. The system integrates high-frequency environmental sensing and proactive collision avoidance strategies, enhancing navigational precision and reliability. It also emphasizes scalability for multi-drone coordination, aiming to bridge the gap between theoretical reinforcement learning and practical aerial deployment.

Author
Nanapollu Gowthami
Language
EN