Dimitra Panagou

Dr. Dimitra Panagou is instrumental in shaping the future of robotics and aerospace engineering as an Associate Professor at the University of Michigan. Her pioneering work in the field of safe and resilient multi-agent systems has made significant contributions to the understanding and development of unmanned aerial systems, autonomous multi-vehicle systems, and robotic networks. Dr. Panagou's research is characterized by its focus on ensuring safety and resilience in the face of adversity and uncertainty, employing advanced techniques from control theory, estimation theory, and machine learning. With a keen interest in control, multi-agent systems, and decentralized/distributed planning and control, Dr. Panagou's work addresses the challenges of nonlinear systems and estimation theory. Her innovative approaches to motion planning, coordination, and control have been instrumental in advancing the capabilities of multi-agent systems, particularly in the context of autonomous multi-vehicle systems and unmanned aerial systems. Her research not only enhances the safety and resilience of these systems but also contributes to the broader field of control and estimation. Dr. Panagou's expertise extends to the development of safe and resilient multi-agent systems, where she explores the integration of machine learning techniques to improve system performance and adaptability. Her work in multi-robot/vehicle systems and control theory has been recognized for its impact on the design and implementation of robotic networks that can withstand various challenges and uncertainties. Through her dedication to advancing the field of robotics and aerospace engineering, Dr. Panagou continues to inspire and mentor the next generation of engineers and researchers. Her contributions to the field are not only theoretical but also practical, as she collaborates with industry partners and academic peers to translate her research into real-world applications. Dr. Panagou's commitment to excellence and innovation makes her a leading figure in the field, driving forward the boundaries of what is possible in safe and resilient multi-agent systems.