Aerial Manipulator

Aerial manipulators integrate the mobility of unmanned aerial vehicles (UAVs) with the dexterity of robotic arms to perform complex tasks in challenging environments. Current research emphasizes robust control algorithms, often incorporating model predictive control or reinforcement learning, to address the dynamic coupling between the UAV and manipulator, and to enable precise force exertion and interaction with diverse surfaces. This field is significant for its potential to automate tasks in inspection, maintenance, and construction, particularly in hazardous or inaccessible locations, while also advancing control theory and robotics through the development of novel control strategies and hardware designs.