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University of Sydney
Brings real-world relevance to learning.
Makes complex ideas simple and clear.
Always approachable and easy to talk to.
Great Professor!
Ian Manchester is Professor of Mechatronic Engineering in the School of Aerospace, Mechanical and Mechatronic Engineering, Faculty of Engineering at the University of Sydney. He received a Bachelor of Engineering degree in Electrical Engineering with First Class Honours in 2002 and a PhD in 2006, both from the University of New South Wales. Following his PhD, Manchester was a post-doctoral researcher at Umeå University, Sweden, from 2006 to 2009, and a research scientist at the Massachusetts Institute of Technology from 2009 to 2012. He joined the University of Sydney faculty in 2012, advancing to Director of Research at the Australian Centre for Field Robotics in 2018, Co-Director of the Sydney Institute for Robotics and Intelligent Systems in 2019, Director of the Australian Centre for Robotics in 2021, and Director of the ARC Research Hub in Intelligent Robotic Systems for Asset Management (ARIAM Hub) in 2021.
Manchester's research specializations encompass algorithms for control, estimation, and identification of nonlinear dynamical systems; planning and control for robotics, including dynamic walking robots and multi-robot systems; and applications in biomedical engineering, forestry, mining automation, and commercial aviation. Key publications include "Neural Networks in the Loop: Learning with Stability and Robustness Guarantees" (2026, Annual Review of Control, Robotics and Autonomous Systems), "EB-MBD: Emerging-Barrier Model-Based Diffusion for Safe Trajectory Optimization in Highly Constrained Environments" (2026), "Trust in LLM-controlled Robotics: a Survey of Security Threats, Defenses and Challenges" (2025), "Advances in Contraction Theory for Robust Optimization, Control, and Neural Computation" (2025, IEEE Conference on Decision and Control), and "Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses" (2025, IEEE Conference on Decision and Control). He was awarded the Sydney Research Accelerator (SOAR) Fellowship in 2019. As Associate Editor for IEEE Robotics and Automation Letters, he has also served on organizing and editorial committees for the IEEE Conference on Decision and Control, Robotics: Science and Systems, and Conference on Robot Learning. His work is reflected in a Google Scholar h-index of 38.
Professional Email: ian.manchester@sydney.edu.au