Ian R. Manchester

University of Technology Sydney — Australia

Engineering · Physical Sciences

26h-index2.9kcitations230works0.52yr avg
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Research Topics

Control and Stability of Dynamical Systems(56), Advanced Control Systems Optimization(40), Model Reduction and Neural Networks(29), Control Systems and Identification(28), Adaptive Control of Nonlinear Systems(25)

Publications230 total

Trust in LLM-controlled Robotics: a Survey of Security Threats, Defenses and Challenges
2025Open Access
Trust in LLM-controlled Robotics: a Survey of Security Threats, Defenses and Challenges
arXiv (Cornell University)·2025Open Access
Trust in LLM-controlled Robotics: a Survey of Security Threats, Defenses and Challenges
ArXiv.org·2025Open Access
EB-MBD: Emerging-Barrier Model-Based Diffusion for Safe Trajectory Optimization in Highly Constrained Environments
arXiv (Cornell University)·2025Open Access
Learning to optimize with guarantees: a complete characterization of linearly convergent algorithms
arXiv (Cornell University)·2025Open Access
React to Surprises: Stable-by-Design Neural Feedback Control and the Youla-REN
arXiv (Cornell University)·2025Open Access
Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses
arXiv (Cornell University)·2025Open Access
Negative Imaginary Neural ODEs: Learning to Control Mechanical Systems with Stability Guarantees
arXiv (Cornell University)·2025Open Access
RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness
JuliaCon Proceedings·2025Open Access
Training Trajectory Predictors Without Ground-Truth Data
arXiv (Cornell University)·2025Open Access
Norm-Bounded Low-Rank Adaptation
arXiv (Cornell University)·2025Open Access
An Evaluation of Physics-Informed Learning With General Neural Operator Transformers
2025
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
Lecture notes in control and information sciences - proceedings·2025· 1 cited
Negative Imaginary Neural ODEs: Learning to Control Mechanical Systems with Stability Guarantees
IFAC-PapersOnLine·2025Open Access
Learning Stable and Passive Neural Differential Equations
2024· 1 cited
Control Contraction Metrics on Submanifolds
2024· 1 cited
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers
arXiv (Cornell University)·2024· 1 citedOpen Access
Path-Parameterised RRTs for Underactuated Systems
2024· 1 cited
Real-time Coupled Centroidal Motion and Footstep Planning for Biped Robots
2024
On IMU preintegration: A nonlinear observer viewpoint and its applications
Systems & Control Letters·2024· 2 citedOpen Access
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Frequent Co-authors

Russ Tedrake(7), Andrey V. Savkin(6), Jean-Jacques Slotine(5), Ruigang Wang(5), Mark M. Tobenkin(4), Uwe Mettin(4), Anton Shiriaev(4), Max Revay(4), Bowen Yi(4), A. Mounir Boudali(4), Guodong Shi(4), Jack Umenberger(3), John W. Roberts(2), Fumiya Iida(2), Michael Levashov(2), Leonid B. Freidovich(2), David Rye(2), Pedro La Hera(2), Justin Tang(2), Yi Sun(2)