Aerial Robotics
Overview
Aerial robotics develops flying machines—from multirotors and fixed-wing aircraft to flapping-wing and hybrid robots—and the methods that let them sense, move, and interact with the world. Work combines onboard perception and state estimation with model-based planning and control, including model predictive control, visual servoing, and robust control; reinforcement learning and vision-language-action models are increasingly used for navigation, tracking, and manipulation. Researchers also study cooperative swarms, aerial transport, landing, and contact tasks, evaluating systems in simulation and benchmarks as well as on real robots with limited power, computing, and sensing. A central challenge is making learning-based autonomy generalize from simulation to changing real conditions while preserving safety, reliability, and real-time performance.
Latest papers
343 papers38 papers in the last four weeks, down 24% on the four weeks before. 0.2% of all new papers.