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
Big Data-based Distributed Control using a Behavioural Systems Framework. With Industry 4.0 turning into reality, industrial processes are becoming distributed cyber-physical systems which generate, process, store and communicate large amounts of data. Using the behavioural systems framework, this project aims to develop a novel distributed control approach for complex processes directly based on big process data. A new model-free framework will be developed to represent and analyse the process/ ....Big Data-based Distributed Control using a Behavioural Systems Framework. With Industry 4.0 turning into reality, industrial processes are becoming distributed cyber-physical systems which generate, process, store and communicate large amounts of data. Using the behavioural systems framework, this project aims to develop a novel distributed control approach for complex processes directly based on big process data. A new model-free framework will be developed to represent and analyse the process/controller networks and interaction effects, and determine the feasibility of desired control performance under distributed control. Novel big data-based distributed control design approaches will be developed by extending the dissipativity, contraction and differential dissipativity conditions for behavioural systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100507
Funder
Australian Research Council
Funding Amount
$444,471.00
Summary
Integrated active microcantilevers for high-throughput nanometrology. This project aims to develop a new versatile, high-performance microsensor platform and microscopy method for measuring nano-scale structures. The proposed microscopy tool is expected to significantly increase imaging speed and miniaturize system footprint, thereby enabling high-throughput quality control of semiconductor devices. The expected outcome is a highly-scalable and low-cost imaging system that will close the technol ....Integrated active microcantilevers for high-throughput nanometrology. This project aims to develop a new versatile, high-performance microsensor platform and microscopy method for measuring nano-scale structures. The proposed microscopy tool is expected to significantly increase imaging speed and miniaturize system footprint, thereby enabling high-throughput quality control of semiconductor devices. The expected outcome is a highly-scalable and low-cost imaging system that will close the technology gap between fabrication and inspection at the nanoscale. The benefits to Australia should include the potential for commercialization to develop this next-generation microscopy tool in high-value market sectors.Read moreRead less
Magnetorheological Elastomer Based Tuned Mass Damper. This project aims to protect buildings utilising an advanced tuned mass damper (TMD) which has characteristics of adaptability, is energy and sensor free and has negative stiffness via the integration of magnetorheological elastomers, a self-sensing self-powered element and negative stiffness technologies. This project expects to theoretically and experimentally study the performance of the TMD on structural protection from wind loads and ear ....Magnetorheological Elastomer Based Tuned Mass Damper. This project aims to protect buildings utilising an advanced tuned mass damper (TMD) which has characteristics of adaptability, is energy and sensor free and has negative stiffness via the integration of magnetorheological elastomers, a self-sensing self-powered element and negative stiffness technologies. This project expects to theoretically and experimentally study the performance of the TMD on structural protection from wind loads and earthquakes. The expected outcomes of this project will advance TMD practice and structural protection technology, and benefit the building protection industry, both domestically and globally. This will provide significant benefits to the working efficiency and safety of building occupants.Read moreRead less
Muscle-based Signals for Responsive Physically-Assistive Robotics. This project aims to develop a physically assistive robot for industrial use that interprets signals from the human user’s muscles during a physical activity and responds with appropriate assistance. This is significant because the robot must accommodate the complexity of movement required in industrial settings and adapt to variabilities in muscle activation signals among users that also change in time. The expected research out ....Muscle-based Signals for Responsive Physically-Assistive Robotics. This project aims to develop a physically assistive robot for industrial use that interprets signals from the human user’s muscles during a physical activity and responds with appropriate assistance. This is significant because the robot must accommodate the complexity of movement required in industrial settings and adapt to variabilities in muscle activation signals among users that also change in time. The expected research outcome is an intuitive, assistive robot worn by the human workforce that enhances their productivity and longevity, improves working conditions, lowers production costs, and increases workforce resilience. The robot’s capabilities will be demonstrated in this project through the challenging activity of sheep shearing.Read moreRead less
The secret of tiny hand movements to feel and manipulate objects. This study aims to reveal some of the fundamental sensory mechanisms underlying the uniquely human ability to manipulate objects and use tools. Signals from touch receptors are crucial for controlling grip forces so that delicate objects are held without slipping, or being crushed by excessive force. Yet we know little about how such sensory information is obtained and how it is used for the motor control. By analysing hand moveme ....The secret of tiny hand movements to feel and manipulate objects. This study aims to reveal some of the fundamental sensory mechanisms underlying the uniquely human ability to manipulate objects and use tools. Signals from touch receptors are crucial for controlling grip forces so that delicate objects are held without slipping, or being crushed by excessive force. Yet we know little about how such sensory information is obtained and how it is used for the motor control. By analysing hand movements during object manipulation and recording sensory signals from single human nerve fibres we will investigate how certain types of movement shape richness of available sensory information. This knowledge will facilitate the development of next generation sensory-controlled prosthetics and robotic manipulators.Read moreRead less
Dynamic model assisted fault diagnostics of wind turbine gearbox. This project aims to develop novel condition monitoring methodologies for the gearbox of large horizontal-axis wind turbines which are widely installed in wind farms for generating renewable energy. This project expects to generate a new diagnostic framework by integrating dynamic model assisted simulations and digital twin-based approaches. Expected outcomes of this project include new vibration-based methods for fault diagnostic ....Dynamic model assisted fault diagnostics of wind turbine gearbox. This project aims to develop novel condition monitoring methodologies for the gearbox of large horizontal-axis wind turbines which are widely installed in wind farms for generating renewable energy. This project expects to generate a new diagnostic framework by integrating dynamic model assisted simulations and digital twin-based approaches. Expected outcomes of this project include new vibration-based methods for fault diagnostics and predictions of the remaining useful life of turbine gearboxes. This should provide significant benefits to the Australian Wind Industry by ensuring reliable operation of wind turbines, reducing turbine downtime and reducing operation and maintenance costs; ultimately lowering the cost of energy from wind.Read moreRead less
Unlocking the mechanisms of vibro-acoustic communication in termites . Our understanding of how termites use microvibrations to communicate is limited, as the generation, transmission and detection of these complex vibrations in substrates at the submillimetre scale are unknown. We aim to develop a fully validated vibro-acoustic termite communication model which will be used in Swårmalätørs to demonstrate their ability to synchronise and mimic collective behaviour. This will be achieved by combi ....Unlocking the mechanisms of vibro-acoustic communication in termites . Our understanding of how termites use microvibrations to communicate is limited, as the generation, transmission and detection of these complex vibrations in substrates at the submillimetre scale are unknown. We aim to develop a fully validated vibro-acoustic termite communication model which will be used in Swårmalätørs to demonstrate their ability to synchronise and mimic collective behaviour. This will be achieved by combining novel acoustic levitation, microsystem analyses and electrophysiology to determine physical properties of termite appendages, sensory and behavioural thresholds; and by considering wave transmission characteristics in wood, friction-adhesion at the termite feet, mandible cutting and soldier alarm drumming.Read moreRead less
Harnessing the Power of Wind: Revolutionising Wind Farm Optimisation. This project aims to develop a rigorous, efficient and accurate framework for optimisation of control policies for complete wind farms. It expects to generate new knowledge in data-driven physics informed transient aerodynamic and structural modelling of entire wind farms, generation of low order yet sufficiently accurate models using machine learning, and game-theoretic and model predictive control techniques for operation of ....Harnessing the Power of Wind: Revolutionising Wind Farm Optimisation. This project aims to develop a rigorous, efficient and accurate framework for optimisation of control policies for complete wind farms. It expects to generate new knowledge in data-driven physics informed transient aerodynamic and structural modelling of entire wind farms, generation of low order yet sufficiently accurate models using machine learning, and game-theoretic and model predictive control techniques for operation of an entire wind farm. Expected outcomes are engineering tools to tackle wind farm inefficiencies totalling $700m/year in Australia alone, contributing to energy stability, security and lowered emissions aligned to the National Science and Research Priority ‘Energy’.Read moreRead less