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
MRS Modular UAV Hardware Platforms for Supporting Research in Real-World Outdoor and Indoor Environments
Daniel Hert, Tomas Baca, Pavel Petracek, Vit Kratky, Vojtech Spurny, Matej Petrlik, Matous Vrba, David Zaitlik, Pavel Stoudek, Viktor Walter, Petr Stepan, Jiri Horyna, Vaclav Pritzl, Giuseppe Silano, Daniel Bonilla Licea, Petr Stibinger, Robert Penicka, Tiago Nascimento, Martin Saska
Mission Planning and Execution in Heterogeneous Teams of Aerial Robots supporting Power Line Inspection Operations
Alvaro Calvo, Giuseppe Silano, Jesus Capitan
Inverted Landing in a Small Aerial Robot via Deep Reinforcement Learning for Triggering and Control of Rotational Maneuvers
Bryan Habas, Jack W. Langelaan, Bo Cheng
SEER: Safe Efficient Exploration for Aerial Robots using Learning to Predict Information Gain
Yuezhan Tao, Yuwei Wu, Beiming Li, Fernando Cladera, Alex Zhou, Dinesh Thakur, Vijay Kumar