Professor Ian Manchester
Director, Australian Centre for Robotics
Director, Australian Robotic Inspection &
Asset Management Hub (ARIAM)
Ian Manchester received BE and PhD degrees in electrical engineering from the University of New South Wales in 2002 and 2006, respectively. From 2006-2009 he was a post-doctoral researcher at Umea University, Sweden, and from 2009-2012 he was a Research scientist at the Massachusetts Institute of Technology.
Robotics, Nonlinear Control, System Identification, Machine Learning, Optimization
AMME5520- Advanced Control and Optimization
Netherlands | (Eindhoven University of Technology) Research on nonlinear control system design. |
Sweden | (Uppsala University) Research on system identification and machine learning |
United States | (Massachusetts Institute of Technology) Research on nonlinear control systems, system identification, and robotics |
Project title | Research student |
---|---|
Design of Acrobatic Legged Robots | Pedram AHMADIYAN ARDESTANI |
Reinforcement Learning for Robotic Systems with Certified Stability and Robustness | Nicholas BARBARA |
Automation and robust control on Surgical Robots | Jing CHENG |
EPA-D: Estimation Planning and Acting in Dynamic Environments | Mikolaj KLINIEWSKI |
Enhancing Safe Robot Control under Time-variant Dynamic Environment with Learning | Dechuan LIU |
Improving Vision-based Control using Robust Neural Networks | Raghav MISHRA |
Quadrupedal robot motion-planning and optimisation | Michael SOMERFIELD |
Investigating Safe Learning from Demonstration with Limited Expert Samples | Ben STIRLING |
Towards Long Lasting Robot Operations in Nuclear Facilities | Sharni SUJATHA |
Cassie Bipedal Robot over Uneven Terrain | Yurui ZHANG |
Publications
Journals
- Yi, B., Manchester, I. (2024). On IMU preintegration: A nonlinear observer viewpoint and its applications. Systems and Control Letters, 193, 105933. [More Information]
- Yi, B., Jin, C., Wang, L., Shi, G., Ila, V., Manchester, I. (2024). PEBO-SLAM: Observer Design for Visual Inertial SLAM with Convergence Guarantees. IEEE Transactions on Automatic Control. [More Information]
- Wang, R., Tóth, R., Koelewijn, P., Manchester, I. (2024). Virtual control contraction metrics: Convex nonlinear feedback design via behavioral embedding. International Journal of Robust and Nonlinear Control. [More Information]
Conferences
- Yi, B., Wang, L., Manchester, I. (2023). Attitude Estimation from Vector Measurements: Necessary and Sufficient Conditions and Convergent Observer Design. 12th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2022, Berlin: Elsevier B.V. [More Information]
- Wang, R., Manchester, I. (2023). Direct Parameterization of Lipschitz-Bounded Deep Networks. 40th International Conference on Machine Learning, ICML 2023, NA: ML Research Press.
- Somers,, V., Manchester, I. (2022). Multi-Stage Sparse Resource Allocation for Control of Spreading Processes over Networks. Proceedings of the American Control Conference, : Institute of Electrical and Electronics Engineers Inc.
2024
- Yi, B., Manchester, I. (2024). On IMU preintegration: A nonlinear observer viewpoint and its applications. Systems and Control Letters, 193, 105933. [More Information]
- Yi, B., Jin, C., Wang, L., Shi, G., Ila, V., Manchester, I. (2024). PEBO-SLAM: Observer Design for Visual Inertial SLAM with Convergence Guarantees. IEEE Transactions on Automatic Control. [More Information]
- Wang, R., Tóth, R., Koelewijn, P., Manchester, I. (2024). Virtual control contraction metrics: Convex nonlinear feedback design via behavioral embedding. International Journal of Robust and Nonlinear Control. [More Information]
2023
- Yi, B., Wang, L., Manchester, I. (2023). Attitude Estimation from Vector Measurements: Necessary and Sufficient Conditions and Convergent Observer Design. 12th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2022, Berlin: Elsevier B.V. [More Information]
- Yi, B., Wang, L., Manchester, I. (2023). Attitude Estimation From Vector Measurements: Necessary and Sufficient Conditions and Convergent Observer Design. IEEE Transactions on Automatic Control. [More Information]
- Wang, L., Manchester, I., Trumpf, J., Shi, G. (2023). Differential initial-value privacy and observability of linear dynamical systems. Automatica, 148. [More Information]
2022
- Lee, J., Sun, Y., Sun, Y., Manchester, I., Naguib, H. (2022). Design of multi-stimuli responsive hybrid pneumatic – magnetic soft actuator with novel channel integration. Applied Materials Today, 29. [More Information]
- Revay, M., Umenberger, J., Manchester, I. (2022). Distributed Identification of Contracting and/or Monotone Network Dynamics. IEEE Transactions on Automatic Control, 67(7), 3410-3425. [More Information]
- Yi, B., Jin, C., Manchester, I. (2022). Globally convergent visual-feature range estimation with biased inertial measurements. Automatica, 146. [More Information]
2021
- Revay, M., Wang, R., Manchester, I. (2021). A Convex Parameterization of Robust Recurrent Neural Networks. IEEE Control Systems Letters, 5(4), 1363-1368. [More Information]
- Revay, M., Wang, R., Manchester, I. (2021). A Convex Parameterization of Robust Recurrent Neural Networks. 2021 American Control Conference (ACC 2021), New Orleans: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
- Yi, B., Jing, C., Wang, L., Shi, G., Manchester, I. (2021). An almost globally convergent observer for visual SLAM without persistent excitation. 60th IEEE Conference on Decision and Control, CDC 2021, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
2020
- Wang, R., Manchester, I. (2020). Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. 2020 American Control Conference (ACC 2020), Denver: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
- Kong, F., Manchester, I. (2020). Contraction analysis of nonlinear noncausal iterative learning control. Systems and Control Letters, 136, 104599. [More Information]
- Wang, L., Manchester, I., Trumpf, J., Shi, G. (2020). Initial-Value Privacy of Linear Dynamical Systems. 59th IEEE Conference on Decision and Control, CDC 2020, Jeju Island: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
2019
- Umenberger, J., Manchester, I. (2019). Convex bounds for equation error in stable nonlinear identification. IEEE Control Systems Letters, 3(1), 73-78. [More Information]
- Stein Shiromoto, H., Revay, M., Manchester, I. (2019). Distributed Nonlinear Control Design using Separable Control Contraction Metrics. IEEE Transactions on Control of Network Systems, 6(4), 1281-1290. [More Information]
- Boudali, A., Sinclair, P., Manchester, I. (2019). Predicting Transitioning Walking Gaits: Hip and Knee Joint Trajectories From the Motion of Walking Canes. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(9), 1791-1800. [More Information]
2018
- Manchester, I. (2018). Contracting Nonlinear Observers: Convex Optimization and Learning from Data. 2018 American Control Conference (ACC 2018), Piscaway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
- Chaffey, T., Manchester, I. (2018). Control Contraction Metrics on Finsler Manifolds. 2018 American Control Conference (ACC 2018), Piscaway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
- Mitchell, J., Manchester, I. (2018). Fault detection for a switched battery system via constrained nonlinear state estimation. 13th IEEE Conference on Industrial Electronics and Applications (ICIEA 2018), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
2017
- Kong, F., Manchester, I. (2017). Contraction Analysis of Nonlinear Iterative Learning Control. The 20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress), online: International Federation of Automatic Control (IFAC). [More Information]
- Manchester, I., Slotine, J. (2017). Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design. IEEE Transactions on Automatic Control, 62(6), 3046-3053. [More Information]
- Tobenkin, M., Manchester, I., Megretski, A. (2017). Convex Parameterizations and Fidelity Bounds for Nonlinear Identification and Reduced-Order Modelling. IEEE Transactions on Automatic Control, 62(7), 3679-3686. [More Information]
2016
- Stein Shiromoto, H., Manchester, I. (2016). Decentralized nonlinear feedback design with separable control contraction metrics. 2016 IEEE 55th Conference on Decision and Control (CDC 2016), Las Vegas: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
- Umenberger, J., Manchester, I. (2016). Scalable identification of stable positive systems. 2016 IEEE 55th Conference on Decision and Control (CDC 2016), Las Vegas: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
- Umenberger, J., Manchester, I. (2016). Specialized algorithm for identification of stable linear systems using Lagrangian relaxation. 2016 American Control Conference (ACC 2016), Boston: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
2015
- Maeda, G., Manchester, I., Rye, D. (2015). Combined ILC and Disturbance Observer for the Rejection of Near-Repetitive Disturbances, With Application to Excavation. IEEE Transactions on Control Systems Technology, 23(5), 1754-1769. [More Information]
- Cheong, S., Manchester, I. (2015). Input design for discrimination between classes of LTI models. Automatica, 53, 103-110. [More Information]
- Umenberger, J., Wagberg, J., Manchester, I., Schon, T. (2015). On identification via EM with latent disturbances and lagrangian relaxation. 17th IFAC Symposium on System Identification, SYSID 2015, Beijing, China: International Federation of Automatic Control (IFAC). [More Information]
2014
- Manchester, I., Slotine, J. (2014). Control contraction metrics and universal stabilizability. 19th World Congress The International Federation of Automatic Control, Cape Town, South Africa: International Federation of Automatic Control (IFAC). [More Information]
- Cheong, S., Manchester, I. (2014). Input design for model discrimination and fault detection via convex relaxation. 2014 American Control Conference (ACC), Portland, Orgeon, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
- Cheong, S., Manchester, I. (2014). Model predictive control combined with model discrimination and fault detection. 19th World Congress The International Federation of Automatic Control, Cape Town, South Africa: International Federation of Automatic Control (IFAC). [More Information]
2013
- Andersson, K., Manchester, I., Laurell, K., Cesarini, K., Malm, J., Eklund, A. (2013). Measurement of CSF dynamics with oscillating pressure infusion. Acta Neurologica Scandinavica, 128(1), 17-23. [More Information]
- Tobenkin, M., Manchester, I., Megretski, A. (2013). Stable nonlinear identification from noisy repeated experiments via convex optimization. 1st American Control Conference (ACC 2013), Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
- Manchester, I., Slotine, J. (2013). Transverse contraction criteria for existence, stability, and robustness of a limit cycle. 52nd IEEE Conference on Decision and Control (CDC 2013), : Institute of Electrical and Electronics Engineers Inc. [More Information]
2012
- Manchester, I. (2012). Amplitude-constrained input design: convex relaxation and application to clinical neurology. 16th IFAC Symposium on System Identification, SYSID 2012, Brussels, Belgium: International Federation of Automatic Control (IFAC). [More Information]
- Manchester, I., Tobenkin, M., Megretski, A. (2012). Stable Nonlinear System Identication: Convexity,Model Class, and Consistency. 16th IFAC Symposium on System Identification, SYSID 2012, Brussels, Belgium: International Federation of Automatic Control (IFAC). [More Information]
2011
- Shkolnik, A., Levashov, M., Manchester, I., Tedrake, R. (2011). Bounding on Rough Terrain with the LittleDog Robot. International Journal of Robotics Research, 30(2), 192-215. [More Information]
- Manchester, I., Roberts, J., Tedrake, R. (2011). Feedback Controller Parameterizations for Reinforcement Learning. IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
- Manchester, I., Tobenkin, M., Wang, J. (2011). Identification of nonlinear systems with stable oscillations. 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011), New York, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
2010
- Tobenkin, M., Manchester, I., Wang, J., Megretski, A., Tedrake, R. (2010). Convex Optimization In Identification Of Stable Non-Linear State Space Models. 49th IEEE Conference on Decision and Control (CDC 2010), Atlanta: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
- Manchester, I. (2010). Input Design for System Identification via Convex Relaxation. 49th IEEE Conference on Decision and Control (CDC 2010), Atlanta: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
- Tedrake, R., Manchester, I., Tobenkin, M., Roberts, J. (2010). LQR-Trees: Feedback Motion Planning via Sums of Squares Verication. International Journal of Robotics Research, 29(8), 1038-1052. [More Information]
2009
- Manchester, I. (2009). An Algorithm for Amplitude-Constrained Input Design for System Identification. Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference CDC/CCC 2009, Shanghai: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
- Manchester, I., Mettin, U., Iida, F., Tedrake, R. (2009). Stable Dynamic Walking over Rough Terrain: Theory and Experiment. International Symposium on Robotics Research, Lucerne, Switzerland: Springer. [More Information]
2008
- Manchester, I., Andersson, K., Andersson, N., Shiriaev, A., Eklund, A. (2008). A nonlinear observer for on-line estimation of the cerebrospinal fluid outflow resistance. Automatica, 44(5), 1426-1430. [More Information]
- Shiriaev, A., Friedovich, L., Manchester, I. (2008). Can we make a robot ballerina perform a pirouette? Orbital stabilization of periodic motions of underactuated mechanical systems. Annual Reviews in Control, 32(2), 200-211. [More Information]
- La Hera, P., Mettin, U., Manchester, I., Shiriaev, A. (2008). Identification and Control of a Hydraulic Forestry Crane. 17th International Federation of Automatic Control (IFAC) World Congress, Seoul: International Federation of Automatic Control (IFAC). [More Information]
2007
- Low, E., Manchester, I., Savkin, A. (2007). A biologically inspired method for vision-based docking of wheeled mobile robots. Robotics and Autonomous Systems, 55(10), 769-784. [More Information]
- Andersson, K., Manchester, I., Andersson, N., Shiriaev, A., Malm, J., Eklund, A. (2007). Assessment of cerebrospinal fluid outflow conductance using an adaptive observer—experimental and clinical evaluation. Physiological Measurement, 28(11), 1355-1368. [More Information]
- Freidovich, L., Shiriaev, A., Manchester, I. (2007). Experimental implementation of stable oscillations of the Furuta pendulum around the upward equilibrium. IEEE/RSJ 2007 International Conference on Intelligent Robots and Systems (IROS 2007), USA: Institute of Electrical and Electronics Engineers (IEEE).
Selected Grants
2024
- RES: ACM (formerly SoMAC) CRC HPN001 Project Agreement: Scientific and technical barriers for robotics and automation in composite manufacturing - HERA, Advanced Composite Structures, LaserBonnd, Rux Energy - Ian Manchester - RA0003167, Manchester I, Australian Composites Manufacturing CRC (ACM CRC)/Research Grant
2023
- Harnessing the Power of Wind: Revolutionising Wind Farm Optimisation, Manchester I, Verbic G, Thornber B, Köstler H, Australian Research Council (ARC)/Discovery Projects (DP)
- PROJECT SCHEDULE 14 (NEXXIS) ARC RESEARCH HUB IN INTELLIGENT ROBOTICS SYSTEMS FOR REAL-TIME ASSET MANAGEMENT, Manchester I, Australian Research Council (ARC)/Industrial Transformation Research Hubs (ITRH)
- Google Philanthropic Grant: Neural Networks with Built-In Behavioural Constraints, Manchester I, Google Asia Pacific Pte. Ltd/Research Support
- National Facility for Electricity Grid Security and Resilience Research, Shi G, Manchester I, Verbic G, Zhu J, Australian Research Council (ARC)/Linkage Infrastructure, Equipment and Facilities (LIEF)
- Project 6: Thales AWS, ARC RESEARCH HUB IN INTELLIGENT ROBOTICS SYSTEMS FOR REAL-TIME ASSET MANAGEMENT (ARIAM), Manchester I, Australian Research Council (ARC)/Industrial Transformation Research Hubs (ITRH)
- Project 3: Emesent (ARC ARIAM Hub), Manchester I, Australian Research Council (ARC)/Industrial Transformation Research Hubs (ITRH)