Autonomous Aerial

Autonomous aerial systems research centers on developing unmanned aerial vehicles (UAVs) capable of performing complex tasks without human intervention, encompassing navigation, payload transport, and interaction with other aerial and ground vehicles. Current research emphasizes robust control algorithms (e.g., control barrier functions, model predictive control), decentralized coordination strategies for multi-UAV operations, and advanced perception techniques using LiDAR and computer vision for object detection and tracking. These advancements are crucial for enabling safe and efficient applications such as package delivery, search and rescue, and infrastructure monitoring, while also addressing challenges in airspace management and collision avoidance.