Aerial Robot
Aerial robots are unmanned aerial vehicles (UAVs) designed for autonomous flight and task execution, with primary objectives focused on enhancing mobility, control precision, and operational capabilities in diverse environments. Current research emphasizes advancements in control algorithms (like Model Predictive Control and Reinforcement Learning), multi-robot coordination strategies, and the development of specialized designs for specific tasks (e.g., grasping, perching, and amphibious operation). These advancements are significant for various applications, including search and rescue, infrastructure inspection, precision agriculture, and exploration in challenging or hazardous environments.
Papers
Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach
Diego Patiño, Siddharth Mayya, Juan Calderon, Kostas Daniilidis, David Saldaña
RotorPy: A Python-based Multirotor Simulator with Aerodynamics for Education and Research
Spencer Folk, James Paulos, Vijay Kumar
Forming and Controlling Hitches in Midair Using Aerial Robots
Diego S. D'Antonio, Subhrajit Bhattacharya, David Saldaña
Design, Control, and Motion Strategy of TRADY: Tilted-Rotor-Equipped Aerial Robot With Autonomous In-Flight Assembly and Disassembly Ability
Junichiro Sugihara, Takuzumi Nishio, Keisuke Nagato, Masayuki Nakao, Moju Zhao
Harmonic Field-based Provable Exploration of 3D Indoor Environments
Raksi Kopo, Charalampos P. Bechlioulis, Kostas J. Kyriakopoulos