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Socio-Economic Objective : Expanding Knowledge in Engineering
Research Topic : Robotics
Australian State/Territory : ACT
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Control Systems, Robotics and Automation (13)
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  • Researchers (18)
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  • Active Funded Activity

    Industrial Transformation Research Hubs - Grant ID: IH210100030

    Funder
    Australian Research Council
    Funding Amount
    $5,000,000.00
    Summary
    ARC Research Hub in Intelligent Robotic Systems for Real-Time Asset Management. This hub aims to transform the way assets and infrastructure are managed by developing new capabilities for intelligent robotic systems for inspection, monitoring, and maintenance. The hub expects to generate new knowledge in robotics and associated fields including sensing, planning, data processing, and machine learning using interdisciplinary approaches and tight collaboration between academia and industry. The ex .... ARC Research Hub in Intelligent Robotic Systems for Real-Time Asset Management. This hub aims to transform the way assets and infrastructure are managed by developing new capabilities for intelligent robotic systems for inspection, monitoring, and maintenance. The hub expects to generate new knowledge in robotics and associated fields including sensing, planning, data processing, and machine learning using interdisciplinary approaches and tight collaboration between academia and industry. The expected outcomes are robots with the ability to autonomously collect data for integration into a digital twin that provides a real-time representation of the true state of a physical asset. The benefits include both improved asset management and establishing Australia as a leading manufacturer of advanced robotic systems.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210101938

    Funder
    Australian Research Council
    Funding Amount
    $500,097.00
    Summary
    Robust Coherent Control Engineering for Quantum Systems and Networks. This project aims to develop new methods for the design of robust coherent controllers for emerging applications to quantum systems and networks. Using robust controllers which are themselves quantum systems, tools from the theory of optimal risk sensitive control aim to enable technological systems to be designed with high levels of performance in the face of unavoidable uncertainties due to imperfect fabrication and interact .... Robust Coherent Control Engineering for Quantum Systems and Networks. This project aims to develop new methods for the design of robust coherent controllers for emerging applications to quantum systems and networks. Using robust controllers which are themselves quantum systems, tools from the theory of optimal risk sensitive control aim to enable technological systems to be designed with high levels of performance in the face of unavoidable uncertainties due to imperfect fabrication and interactions with the environment. The research aims to yield systematic control engineering methods to combat the effects of quantum decoherence which is critical in order to make quantum technologies such as quantum computing truly practical. Applications include computing, secure communications, sensing and simulations
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    Funded Activity

    Discovery Projects - Grant ID: DP180101805

    Funder
    Australian Research Council
    Funding Amount
    $441,285.00
    Summary
    Coherent control engineering for state estimation in quantum linear systems. This project aims to develop new methodologies for designing coherent controllers to facilitate optimal estimation in systems incorporating quantum sensors such as optomechanical and atom-interference sensors. New quantum sensors are being developed which have the potential to achieve sensitivities approaching fundamental physical limits. However to fully exploit these devices, this project will develop new control engi .... Coherent control engineering for state estimation in quantum linear systems. This project aims to develop new methodologies for designing coherent controllers to facilitate optimal estimation in systems incorporating quantum sensors such as optomechanical and atom-interference sensors. New quantum sensors are being developed which have the potential to achieve sensitivities approaching fundamental physical limits. However to fully exploit these devices, this project will develop new control engineering and signal processing methods taking into account the fundamental properties of quantum systems and noise. This will enable quantum sensors to be applied to a wide range of applications including transport, medical imaging, civil engineering, and the detection of hazards.
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    Funded Activity

    Discovery Projects - Grant ID: DP190102158

    Funder
    Australian Research Council
    Funding Amount
    $430,000.00
    Summary
    Robust control of highly resonant flexible and nanoscale systems. This project aims to develop new methodologies to analyse and design control systems for highly resonant flexible structures occurring in emerging areas of precision engineering such as atomic force microscopes, scanning tunnelling microscopes and microelectromechanical systems. Critical to the operation of these instruments are feedback control systems. In order to enable microelectromechanical technologies to be developed at a l .... Robust control of highly resonant flexible and nanoscale systems. This project aims to develop new methodologies to analyse and design control systems for highly resonant flexible structures occurring in emerging areas of precision engineering such as atomic force microscopes, scanning tunnelling microscopes and microelectromechanical systems. Critical to the operation of these instruments are feedback control systems. In order to enable microelectromechanical technologies to be developed at a large scale, control systems are required with high levels of accuracy, speed and robustness. This project will enable the systematic synthesis of such control systems and thus facilitate advances in micro and nano-electomechanical sensors, biological, medical and materials imaging, and quantum computing devices.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200102945

    Funder
    Australian Research Council
    Funding Amount
    $540,000.00
    Summary
    Optimisation methods for coherent quantum signal estimation and filtering. The project aims to develop an innovative systems theory and optimisation methods to enhance the design of components for next-generation quantum communication networks. It will advance new theoretical knowledge and efficient algorithms that can be applied to make networks more efficient and less costly. New technologies set to emerge within the next decade including specialised quantum processors and transformative cyber .... Optimisation methods for coherent quantum signal estimation and filtering. The project aims to develop an innovative systems theory and optimisation methods to enhance the design of components for next-generation quantum communication networks. It will advance new theoretical knowledge and efficient algorithms that can be applied to make networks more efficient and less costly. New technologies set to emerge within the next decade including specialised quantum processors and transformative cyber security systems will require ultra-fast networks, and the project will contribute significantly to advancing these technologies. This will benefit the Australia's economy and reinforce Australia's leadership in the quantum technological revolution through innovative engineering approaches.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220102759

    Funder
    Australian Research Council
    Funding Amount
    $375,000.00
    Summary
    Optimisation of piezoelectric metamaterials: Towards robotic stress sensors. This project aims to design new piezoelectric material microstructures that can enhance the measurement of complex local stress states within robotic limbs. The project expects to generate new knowledge of the achievable properties of multi-poled piezoelectric materials and develop computational tools for the analysis and structural optimisation of such materials. The designed microstructures may revolutionise piezoelec .... Optimisation of piezoelectric metamaterials: Towards robotic stress sensors. This project aims to design new piezoelectric material microstructures that can enhance the measurement of complex local stress states within robotic limbs. The project expects to generate new knowledge of the achievable properties of multi-poled piezoelectric materials and develop computational tools for the analysis and structural optimisation of such materials. The designed microstructures may revolutionise piezoelectric sensor technology. Expected outcomes include manufactured proof-of-concept sensors that enable measurement of local stress fields. This should provide significant benefits, such as improved future robot capability and reliability, and research training for next-generation Australian computational mathematicians.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190103615

    Funder
    Australian Research Council
    Funding Amount
    $495,000.00
    Summary
    Control of network systems with signed dynamical interconnections. New technologies such as online recommendations, smart grids, and cyber-physical systems are becoming backbone infrastructure. Such systems are operated as network systems with interconnected functioning units (agents) where cooperative and adversarial agent relations often coexist. This project aims to develop the theories and tools for designing and building dynamic networks with signed interactions that arise from a variety of .... Control of network systems with signed dynamical interconnections. New technologies such as online recommendations, smart grids, and cyber-physical systems are becoming backbone infrastructure. Such systems are operated as network systems with interconnected functioning units (agents) where cooperative and adversarial agent relations often coexist. This project aims to develop the theories and tools for designing and building dynamic networks with signed interactions that arise from a variety of applications where both cooperative and adversarial agent interactions coexist. By developing theories and algorithms for control and identification over such systems, this project will contribute directly to their safe and robust operation. The resulting theories will provide deeper understanding of network control systems and the resulting algorithms will enable the elimination of attackers and malicious users for online review systems and smart grids. This project will contribute to increased cybersecurity for all Australians.
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    Funded Activity

    Linkage Projects - Grant ID: LP160100666

    Funder
    Australian Research Council
    Funding Amount
    $470,000.00
    Summary
    Automatic control systems for low-energy pipelines in irrigation networks. Automatic control systems for low-energy pipelines in irrigation networks. This project aims to design automated pipelines to distribute irrigation water from backbone open-channels to end-users. Automation can make irrigation networks more efficient, which is important for food security and the environment. Automation is expected to achieve low-energy distribution, in line with the gravity-powered operation of typical op .... Automatic control systems for low-energy pipelines in irrigation networks. Automatic control systems for low-energy pipelines in irrigation networks. This project aims to design automated pipelines to distribute irrigation water from backbone open-channels to end-users. Automation can make irrigation networks more efficient, which is important for food security and the environment. Automation is expected to achieve low-energy distribution, in line with the gravity-powered operation of typical open-channel networks. The main challenges are the development of suitable models for designing outlet-flow control systems, optimization-based outlet-flow scheduling methods for ensuring operation within hydraulic constraints, and system monitoring techniques. This project will design automatic control systems to enable low-energy water distribution from open-channels to end-users by pipes.
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    Funded Activity

    Discovery Projects - Grant ID: DP160101121

    Funder
    Australian Research Council
    Funding Amount
    $411,780.00
    Summary
    Generalised Energy Based Robust and Nonlinear Control Systems. This project aims to develop new energy-based theories of robust stability analysis and controller design for both linear and nonlinear systems, building on passivity and negative imaginary system theories and their physical interpretations along with stochastic optimal control theory. These control theories would allow for a wide range of plant dynamics in the design of high-performance robust control systems, enabling advances in e .... Generalised Energy Based Robust and Nonlinear Control Systems. This project aims to develop new energy-based theories of robust stability analysis and controller design for both linear and nonlinear systems, building on passivity and negative imaginary system theories and their physical interpretations along with stochastic optimal control theory. These control theories would allow for a wide range of plant dynamics in the design of high-performance robust control systems, enabling advances in emerging technologies including nanopositioning, micro-electromechanical systems and opto-mechatronics. The project plans to combine these theoretical advances with numerical methods involving advanced optimisation tools and the experimental implementation of nanopositioning control systems in atomic force microscopy.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE120102873

    Funder
    Australian Research Council
    Funding Amount
    $375,000.00
    Summary
    Securing networked control and estimation systems and safeguarding critical infrastructure. The purpose of this project is to reduce the likelihood of success, and the severity of impact, of a cyber-attack against networked control and estimation systems operating within critical infrastructure. The outcome will be a suite of algorithms, tools and design considerations for networked, industrial, control systems that satisfy this purpose.
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