Aerial Manipulation
Overview
Aerial manipulation studies how drones can physically interact with objects and infrastructure, from grasping and payload transport to pushing, placement, and contact inspection. Approaches combine specialized platforms and end effectors—such as tilting or fully actuated rotors, rigid or continuum arms, grippers, and cables—with model-based control, visual or force feedback, and increasingly learned policies. A central challenge is coordinating flight and manipulation despite underactuation, payload changes, rotor downwash, contact forces, and uncertain object dynamics; methods range from predictive and adaptive control to reinforcement learning and vision-language-action systems. Real-robot demonstrations are expanding, but reliable contact, generalization beyond training conditions, and comparable evaluation across embodiments and environments remain open challenges.
Latest papers
76 papers11 papers in the last four weeks, down 42% on the four weeks before. 0.1% of all new papers.