Drone Interaction

Drone interaction research focuses on improving the safety, efficiency, and usability of drone systems, encompassing both drone-to-drone and human-drone interactions. Current efforts concentrate on developing advanced algorithms, such as reinforcement learning and deep learning models, for tasks like collaborative trajectory prediction, autonomous collision avoidance, and intuitive human control interfaces incorporating augmented reality and haptic feedback. These advancements are crucial for enabling safe drone integration into existing airspace and expanding their applications in diverse fields, including search and rescue, delivery, and surveillance.