Autonomous Drone

Autonomous drones are unmanned aerial vehicles designed for independent operation, primarily focusing on safe and efficient navigation, task execution, and data acquisition in diverse environments. Current research emphasizes advancements in robust control algorithms (including reinforcement learning and imitation learning), efficient path planning (e.g., using Floyd's algorithm), and reliable perception systems leveraging computer vision (e.g., with convolutional neural networks and transformer architectures) and other sensors like LiDAR and mmWave radar. These improvements are driving significant progress in applications ranging from precision agriculture and infrastructure inspection to search and rescue operations and environmental monitoring, impacting both scientific understanding of autonomous systems and practical deployment in various fields.