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Australian State/Territory : WA
Australian State/Territory : ACT
Status : Closed
Research Topic : Intelligent Robotics
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  • Funded Activity

    Special Research Initiatives - Grant ID: SR0354726

    Funder
    Australian Research Council
    Funding Amount
    $10,000.00
    Summary
    NETVISION: AUSTRALIA'S NATIONAL VISION RESEARCH NETWORK. Vision is the most important human sense. Visual malfunctions pose major health challenges. Vision provides a window into the brain, for studying perception, cognition and consciousness. It is integral to human cultural and social development. It provides opportunities for technological advances in diagnostics, artificial vision, robotics, and surveillance. Vision is therefore crucial to three of the National Priority Areas. The National V .... NETVISION: AUSTRALIA'S NATIONAL VISION RESEARCH NETWORK. Vision is the most important human sense. Visual malfunctions pose major health challenges. Vision provides a window into the brain, for studying perception, cognition and consciousness. It is integral to human cultural and social development. It provides opportunities for technological advances in diagnostics, artificial vision, robotics, and surveillance. Vision is therefore crucial to three of the National Priority Areas. The National Vision Network will create a coherent, interactive and innovative research base in the vision sciences, linked to end-users in areas ranging from the art, entertainment and fashion industries, through health and education, to border protection and counter-terrorism.
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    Funded Activity

    ARC Centres Of Excellence - Grant ID: CE0561903

    Funder
    Australian Research Council
    Funding Amount
    $16,250,000.00
    Summary
    ARC Centre of Excellence - Vision Science. This Centre will generate important new knowledge of the performance, logic and stability of vision and visual behaviour. This knowledge will help reduce the burden of vision impairment in Australia, increasing productivity, promoting healthy ageing and reducing the community costs of visual impairment (ca. $9.85 billion in 2004). The knowledge produced will also make possible world-class innovations in robotics, leading to novel automated vision system .... ARC Centre of Excellence - Vision Science. This Centre will generate important new knowledge of the performance, logic and stability of vision and visual behaviour. This knowledge will help reduce the burden of vision impairment in Australia, increasing productivity, promoting healthy ageing and reducing the community costs of visual impairment (ca. $9.85 billion in 2004). The knowledge produced will also make possible world-class innovations in robotics, leading to novel automated vision systems with applications in industry and national security. Other knowledge will develop novel diagnostic technologies, for application in health delivery.
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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: CE0348177

    Funder
    Australian Research Council
    Funding Amount
    $5,625,165.00
    Summary
    ARC Centre for Perceptive & Intelligent Machines in Complex Environments. The Centre for Perceptive and Intelligent Machines in Complex Environments will perform fundamental research into and construct reliable large-scale systems of networked sensors, computational intelligence, mobile robots, and knowledge sources to support a large variety of critical human tasks, including surveillance/ security (eg. borders/airports/homes), health care support (eg. smart houses/ health condition monitoring, .... ARC Centre for Perceptive & Intelligent Machines in Complex Environments. The Centre for Perceptive and Intelligent Machines in Complex Environments will perform fundamental research into and construct reliable large-scale systems of networked sensors, computational intelligence, mobile robots, and knowledge sources to support a large variety of critical human tasks, including surveillance/ security (eg. borders/airports/homes), health care support (eg. smart houses/ health condition monitoring, semi autonomous wheelchairs), and civil disaster support (eg. fighting bushfires, looking for people in rubble) always keeping people in the loop so that strong human/ machine cooperative ventures can achieve what neither human or machines could accomplish independently.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100203

    Funder
    Australian Research Council
    Funding Amount
    $385,000.00
    Summary
    Autonomous benthic observing system. This project seeks to improve our ability to monitor marine habitats and characterise their variability by enhancing the Integrated Marine Observing system (IMOS) Autonomous Underwater Vehicle (AUV) Facility. The new AUV infrastructure will reduce operating costs, increase robustness of the sampling effort and insure continued operation for the next decade.
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    Showing 1-5 of 5 Funded Activites

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