At FRPG our research focuses on advancing the field of Intelligent Aerial Robotics, with the overarching goal of enabling autonomous systems that can perceive, reason, and act reliably in complex real-world environments. Our work explores the tight coupling between perception, decision-making, and control in aerial and multi-robot systems, where perception directly informs and guides autonomous behavior. This line of research, which we describe as perception-based autonomy, seeks to endow aerial robots with the ability to coordinate, adapt, and operate under uncertainty while respecting the physical and computational limits of real platforms. Through this perspective, we investigate fundamental theoretical and methodological questions in

• Robot perception
• Multi-robot decision-making and control, and
• Robot learning