Drone Navigation

Drone navigation research focuses on enabling autonomous and efficient drone flight, particularly in challenging environments lacking GPS or with dynamic obstacles. Current efforts leverage deep reinforcement learning (DRL) models, often bio-inspired, alongside computer vision techniques like convolutional neural networks (CNNs) and transformers, for tasks such as visual odometry, trajectory planning, and obstacle avoidance. These advancements are improving drone precision and reliability for applications ranging from search and rescue to infrastructure inspection, impacting both robotics and related fields.