Fernando Vanegas is a Research Fellow in Robotics at the Queensland University of Technology. He holds an M.Sc. in Electrical Engineering from Halmstad University and a Ph.D. in Aerial Robotics from QUT.
He has been working as a Research Fellow at QUT since 2017 for projects related to hyper and multispectral remote sensing for plant protection and UAV motion planning and navigation in GPS-denied environments.
He has developed frameworks for UAV mission planning in GPS-denied environments for navigation, target finding, and tracking purposes using machine learning techniques based on reinforcement learning and optimal sequential decision-making. His current research interests include UAV motion planning in GPS-denied and cluttered environments, POMDP, SLAM, Visual Odometry, deep reinforcement learning, and the use of machine learning in remote sensing for plant protection.