Welcome to the Precision Mechatronics Lab at the University of Newcastle

We are multidisciplinary group of electrical engineers, mechanical engineers and physicists developing new mechatronic and robotic technologies for fabrication, imaging, and health care

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Precision Mechatronics Lab
The Precision Mechatronics Lab develops new devices and processes for imaging and fabrication. This includes new sensors, actuators and control systems for applications in microscopy, mask-less lithography, and biomedical imaging.
Our Projects
Australian Research Council
The Precision Mechatronics Lab is supported by the Australian Research Council, Industrial Partners, The Center for Complex Dynamics Systems and Control (CDSC), and the University of Newcastle.
Our Partners
Newcastle Beach
The University of Newcastle is ranked in the top 3% of world universities and #26 for a university under 50 years old. We are a research intensive university with a world-wide reputation for research in Engineering, the Sciences, and Medicine.
About the University

Recent Publications

283 entries « 2 of 48 »
Omidbeike,; Yong,; Moore,; Fleming, (2019): A Five-Axis Monolithic Nanopositioning Stage Constructed from a Bimorph Piezoelectric Sheet. In: Helsinki, Finland, 2019. (Type: Inproceeding | Abstract | BibTeX)
A Five-Axis Monolithic Nanopositioning Stage Constructed from a Bimorph Piezoelectric Sheet
Ruppert,; Routley,; Fleming,; Yong,; Fantner, (2019): Model-based Q Factor Control for Photothermally Excited Microcantilevers. In: Int. Conference on Manipulation, Automation and Robotics at Small Scales (MARSS), Helsinki, Finland, 2019. (Type: Inproceeding | Abstract | BibTeX)
Model-based Q Factor Control for Photothermally Excited Microcantilevers
Harcombe,; Ruppert,; Fleming, (2019): Modeling and Noise Analysis of a Microcantilever-based Mass Sensor. In: Int. Conference on Manipulation, Automation and Robotics at Small Scales (MARSS), Helsinki, Finland, 2019. (Type: Inproceeding | Abstract | BibTeX)
Modeling and Noise Analysis of a Microcantilever-based Mass Sensor
Wang,; Ruppert,; Manzie,; Nesic,; Yong, (2019): Adaptive Scan for Atomic Force Microscopy Based on Online Optimisation: Theory and Experiment. In: IEEE Transactions on Control System Technology, 2019, (accepted for publication). (Type: Journal Article | Abstract | BibTeX)
Adaptive Scan for Atomic Force Microscopy Based on Online Optimisation: Theory and Experiment
Ruppert,; Moore,; Zawierta,; Fleming,; Putrino,; Yong, (2019): Multimodal atomic force microscopy with optimized higher eigenmode sensitivity using on-chip piezoelectric actuation and sensing. In: Nanotechnology, 30 (8), pp. 085503, 2019. (Type: Journal Article | Abstract | Links | BibTeX)
Multimodal atomic force microscopy with optimized higher eigenmode sensitivity using on-chip piezoelectric actuation and sensing
Fleming,; Ghalehbeygi,; Routley,; Wills, (2018): Scanning Laser Lithography with Constrained Quadratic Exposure Optimization. In: IEEE Transactions on Control Systems Technology, (In Press) , 2018, ISBN: 1063-6536. (Type: Journal Article | Abstract | Links | BibTeX)
Scanning Laser Lithography with Constrained Quadratic Exposure Optimization
283 entries « 2 of 48 »