Aerial Grasping

Aerial grasping research focuses on enabling drones to autonomously grasp and manipulate objects in the air, addressing challenges like dynamic environments and payload weight. Current efforts concentrate on developing robust control algorithms (like model predictive control and disturbance observers) and innovative gripper designs, including soft, modular, and hook-based systems, often paired with efficient onboard object detection using deep learning. This field is significant for advancing drone capabilities in diverse applications such as search and rescue, automated warehousing, and precision agriculture, improving efficiency and safety in challenging environments.