Robert Mahony

Robert Mahony is a Professor in the School of Engineering at the Australian National University (ANU) and an IEEE Fellow. His research focuses on nonlinear systems theory, geometric optimization, and robotics applications, with particular emphasis on control systems, vision-based navigation, and autonomous systems. He holds a PhD in Systems Engineering (1995) and a BSc in Applied Mathematics and Geology (1989), both from ANU.

His work spans robot vision, mobile robotics, Lyapunov methods, and nonlinear control, with contributions to inertial navigation, event cameras, and equivariant filtering. He teaches courses such as ENGN4627/ENGN6627 Robotics and leads the Control, Information, Intelligence, Communication, Automation, Decision, and Autonomy Laboratory (CII-CADA Lab) at ANU.

Key research themes include observer design for nonlinear systems, sensor fusion, and real-time control algorithms for autonomous vehicles. His publications address challenges in SLAM (Simultaneous Localization and Mapping), multi-object tracking, and robust state estimation under sensor limitations.

• Awards: IEEE Fellow
• Labs/Teams: CII-CADA Lab (ANU)
• Grants/Advising: Course convener for robotics modules; extensive collaborations on fire detection technology and aerospace systems.