Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimenta ....Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimental validation on a surgical robot and a bipedal walking robot. This project will provide significant benefits by dramatically increasing the range of applications in which the power of machine learning can be safely applied to advance the capabilities and uptake of robotics.Read moreRead less
Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater moni ....Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater monitoring. The intended outcomes are fundamental theories, effective control and learning algorithms for achieving highly-sensitive sensors. These outcomes should make important contributions to and deliver new knowledge and skills for Australia's sensing industries, which could benefit Australia's economic growth.Read moreRead less
Distributed Estimation, Control and Optimisation for Networked Systems. This project aims to study large scale networked systems in major infrastructures including power networks, transportation networks, internet of things, and other cyber-physical systems. This project is expected to develop new methodology and algorithms for distributed estimation, control and optimisation of these systems. Distributed solutions are essential because traditional techniques which were designed for small system ....Distributed Estimation, Control and Optimisation for Networked Systems. This project aims to study large scale networked systems in major infrastructures including power networks, transportation networks, internet of things, and other cyber-physical systems. This project is expected to develop new methodology and algorithms for distributed estimation, control and optimisation of these systems. Distributed solutions are essential because traditional techniques which were designed for small systems are not suitable for efficient operations of large scale systems. Application examples include distributed state estimation for power networks, control of multi-agent systems and optimal scheduling of transportation networks. The outcomes of this project are vital to the understanding and management of these systems. Read moreRead less
Safe, Plug and Play, Multi Agent Dynamic Systems. From driverless cars, to networks of nano satellites, and complex biological networks, the modern world has many examples of multi agent dynamic systems that need careful coordination and control to perform correctly. In many cases, these systems are built up using designs based on intuition, computer simulations and empirical testing. However, there is a clear need to advance the fundamental understandings of such systems: (i) Verifiable overall ....Safe, Plug and Play, Multi Agent Dynamic Systems. From driverless cars, to networks of nano satellites, and complex biological networks, the modern world has many examples of multi agent dynamic systems that need careful coordination and control to perform correctly. In many cases, these systems are built up using designs based on intuition, computer simulations and empirical testing. However, there is a clear need to advance the fundamental understandings of such systems: (i) Verifiable overall dynamic system properties need to be derived to give assurance of performance in situations not previously envisaged; (ii) It is also critical to understand stable system behaviours not just with fixed configurations, but with agile configurations such as splitting, merging, and morphingRead moreRead less
Industrial Transformation Research Hubs - Grant ID: IH210100040
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC RESEARCH HUB FOR CONNECTED SENSORS FOR HEALTH. This Hub aims to develop, manufacture and deploy high-tech, cyber-secure, medically-certified IoT sensors to global health markets by integrating disparate Australian capabilities into a productive end-to-end value chain. This Hub expects to position Australia at the forefront of connected health by integrating sensor science with cyber-secure data analytics, regulatory approval and certified manufacturing capabilities. Expected outcomes of this ....ARC RESEARCH HUB FOR CONNECTED SENSORS FOR HEALTH. This Hub aims to develop, manufacture and deploy high-tech, cyber-secure, medically-certified IoT sensors to global health markets by integrating disparate Australian capabilities into a productive end-to-end value chain. This Hub expects to position Australia at the forefront of connected health by integrating sensor science with cyber-secure data analytics, regulatory approval and certified manufacturing capabilities. Expected outcomes of this Hub include advanced manufacturing capacity for connected sensors, strategic partnerships and commercialisation skills to translate sensors research to create economic benefits such as jobs and locally-made products for domestic and export markets, as well as improving the health of Australians.Read moreRead less
Buffering the ecosystem impact of invasive cane toads. This project aims to address the devastating ecological problems caused by invasive species, by developing a novel approach that does not rely upon eradicating the invader through training vulnerable native predators not to eat toxic cane toads. Expected outcomes of this project include building a broad coalition of conservation-focused groups, from private land-owners and local businesses through to Indigenous groups and government and non- ....Buffering the ecosystem impact of invasive cane toads. This project aims to address the devastating ecological problems caused by invasive species, by developing a novel approach that does not rely upon eradicating the invader through training vulnerable native predators not to eat toxic cane toads. Expected outcomes of this project include building a broad coalition of conservation-focused groups, from private land-owners and local businesses through to Indigenous groups and government and non-government agencies across the entire Kimberley region. It will also result in the evaluation of methods for deployment of taste-aversion at a landscape scale. This should provide significant benefits by conserving vulnerable fauna and building a powerful network within a region of high biodiversity in tropical Australia.Read moreRead less
Discovering how termites use vibrations to thrive in a predators' world. Our recent research revealed termites use vibrations to avoid predators/competitors for survival. However, the enabling mechanisms of this amazing ability remain unknown. The project aims at unlocking the secrets of these mechanisms by relating the mechanical properties of termite, legs, antennae and sensing organs (measured with advanced micro measurement techniques) to vibration signatures of ants and termites (extracted ....Discovering how termites use vibrations to thrive in a predators' world. Our recent research revealed termites use vibrations to avoid predators/competitors for survival. However, the enabling mechanisms of this amazing ability remain unknown. The project aims at unlocking the secrets of these mechanisms by relating the mechanical properties of termite, legs, antennae and sensing organs (measured with advanced micro measurement techniques) to vibration signatures of ants and termites (extracted using innovative signal processing techniques and nonlinear dynamics). We will develop novel bio-dynamics models that incorporate machine learning. We will test the models’ ability to manipulate termites foraging behaviour, with the ultimate objective of developing chemical-free, vibration-based pest control devices. Read moreRead less
Milk protein profiling powered by multiplexed single molecule assay. This project aims to develop a novel device, comprising advanced single molecule imaging, microfluidics and immunoassay technologies, for quantification of milk protein variants. Milk quality is central to dairying and variants of proteins in milk affect its market value. No current milk protein detection technologies are readily applied in milk production quality control. This project aims to produce a device that can be used ....Milk protein profiling powered by multiplexed single molecule assay. This project aims to develop a novel device, comprising advanced single molecule imaging, microfluidics and immunoassay technologies, for quantification of milk protein variants. Milk quality is central to dairying and variants of proteins in milk affect its market value. No current milk protein detection technologies are readily applied in milk production quality control. This project aims to produce a device that can be used by milk producers and farms to profile protein variants with high sensitivity in a single test in an hour and screen unwanted protein contamination. The platform also has great potential for detecting other complex and low content analytes. It builds on innovations in nanoparticles and recent industry collaboration.Read moreRead less
Nanoarchitectured multifunctional porous superparamagnetic nanoparticles. This project aims to develop a method for the direct detection of biomarkers based on a new class of highly porous superparamagnetic nanoparticles with peroxidase-like activity. The particles will be used as dispersible capture agents for isolating specific targets in biological samples, and electrocatalytic nanozymes for naked-eye evaluation and electrochemical detection. The project is expected to develop simple, low-cos ....Nanoarchitectured multifunctional porous superparamagnetic nanoparticles. This project aims to develop a method for the direct detection of biomarkers based on a new class of highly porous superparamagnetic nanoparticles with peroxidase-like activity. The particles will be used as dispersible capture agents for isolating specific targets in biological samples, and electrocatalytic nanozymes for naked-eye evaluation and electrochemical detection. The project is expected to develop simple, low-cost, portable devices for the analysis of exosomes and exosomal miRNA in biological samples. The future development of this technology into diagnostic devices will improve patient outcomes by enabling earlier disease diagnosis and improved monitoring of treatment.Read moreRead less