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Current Selection
Australian State/Territory : QLD
Status : Closed
Research Topic : Intelligent Robotics
Australian State/Territory : SA
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  • Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090

    Funder
    Australian Research Council
    Funding Amount
    $250,000.00
    Summary
    Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models: The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object .... Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models: The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics.
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    Funded Activity

    ARC Centres Of Excellence - Grant ID: CE140100016

    Funder
    Australian Research Council
    Funding Amount
    $19,000,000.00
    Summary
    ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies th .... ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies that will allow robots to see as we do, and overcome the last barrier to the ubiquitous deployment of robots into society for the benefit of all.
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    Funded Activity

    Linkage Projects - Grant ID: LP160101040

    Funder
    Australian Research Council
    Funding Amount
    $440,000.00
    Summary
    Network-wide sewer odour and corrosion management by model predictive control. Network-wide sewer odour and corrosion management by model predictive control. This project aims to develop and demonstrate, through real-life field studies, a model predictive control approach that achieves cost-effective network-wide mitigation of hydrogen sulphide. The lack of suitable methodologies to support the control designs of chemical dosing units and sewage pumping stations makes network-wide sewer corrosio .... Network-wide sewer odour and corrosion management by model predictive control. Network-wide sewer odour and corrosion management by model predictive control. This project aims to develop and demonstrate, through real-life field studies, a model predictive control approach that achieves cost-effective network-wide mitigation of hydrogen sulphide. The lack of suitable methodologies to support the control designs of chemical dosing units and sewage pumping stations makes network-wide sewer corrosion and odour management a problem. Innovative control methodology will simultaneously manipulate chemical dosing unit(s) and selected sewage pumping station(s), based on real-time prediction of sewage flows and characteristics both at sources and across the network, to ensure optimal delivery of dosed chemicals to mitigate hydrogen sulphide.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100066

    Funder
    Australian Research Council
    Funding Amount
    $350,000.00
    Summary
    Collaborative embodied movement design network. This project aims to create a national collaborative network of arts/technology researchers to study the creative potential of movement-based human computer interaction systems. Movement-based technologies such as augmented and virtual reality, haptic and robotic interfaces form the cutting edge of human computer interaction development. This project will develop new infrastructure to enable researchers to work together to improve these systems fro .... Collaborative embodied movement design network. This project aims to create a national collaborative network of arts/technology researchers to study the creative potential of movement-based human computer interaction systems. Movement-based technologies such as augmented and virtual reality, haptic and robotic interfaces form the cutting edge of human computer interaction development. This project will develop new infrastructure to enable researchers to work together to improve these systems from an embodied perspective. This is expected to benefit industry, commerce, education, health care and the arts.
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    Showing 1-4 of 4 Funded Activites

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