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Australian State/Territory : WA
Field of Research : Computer Vision
Research Topic : Intelligent Robotics
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Artificial Intelligence and Image Processing (6)
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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

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775672

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    3D Scanning and Printing Facilities (3DSPF). A one-stop shop is proposed to accommodate 3D scanning and printing facilities in WA to advance a range of research projects currently undertaken by internationally renowned researchers in their respective fields. The facility will impact on our research programs in a wide range of disciplines including rapid prototyping, robotics, geomatics, demining, nanotechnology, and molecular modeling. These projects are of high significance and will advance res .... 3D Scanning and Printing Facilities (3DSPF). A one-stop shop is proposed to accommodate 3D scanning and printing facilities in WA to advance a range of research projects currently undertaken by internationally renowned researchers in their respective fields. The facility will impact on our research programs in a wide range of disciplines including rapid prototyping, robotics, geomatics, demining, nanotechnology, and molecular modeling. These projects are of high significance and will advance research in most of the national priorities. The facility can also be used for training and teaching purposes. The facility builds on a previous long range scanning facility and on the State Government's support of leading edge computational and visualization facilities.
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    Funded Activity

    Discovery Projects - Grant ID: DP150100294

    Funder
    Australian Research Council
    Funding Amount
    $555,100.00
    Summary
    Advanced three-dimensional Computer Vision Algorithms for 'Find and Grasp' Future Robots. This project addresses crucial limitations of existing vision systems for the robot grasping of irregular objects in messy living environments. This project aims to undertake fundamental research into novel three-dimensional vision algorithms, exploiting multiple modalities (two-dimensional+three-dimensional+video) for scene labelling, object classification, scene segmentation and grasp synthesis to enable .... Advanced three-dimensional Computer Vision Algorithms for 'Find and Grasp' Future Robots. This project addresses crucial limitations of existing vision systems for the robot grasping of irregular objects in messy living environments. This project aims to undertake fundamental research into novel three-dimensional vision algorithms, exploiting multiple modalities (two-dimensional+three-dimensional+video) for scene labelling, object classification, scene segmentation and grasp synthesis to enable future robots to operate in unstructured environments with highly occluded and cluttered objects. It is expected to significantly advance research and to have broad applications, including home robotics to improve the quality of life of elders and people with special needs. These algorithms may also be used in security (explosive manipulation) and agriculture (field crop harvesting).
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    Funded Activity

    Discovery Projects - Grant ID: DP110102166

    Funder
    Australian Research Council
    Funding Amount
    $310,000.00
    Summary
    A three dimensional video-based vision system for future robots. With the recent introduction of new three dimensional (3D) video sensors, opportunities for the development of advanced 3D vision systems for robots working in dynamic environments are now becoming possible. A real-time visual robotic system will be developed to substantially reduce the expensive costs associated with elder's health and home care expenses.
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    Funded Activity

    Linkage Projects - Grant ID: LP160100662

    Funder
    Australian Research Council
    Funding Amount
    $285,000.00
    Summary
    Visual intelligence for safe vehicle operation in industrial environment. Visual intelligence for safe vehicle operation in industrial environment. This project aims to develop safety devices for loosely constrained environments with public access, building on visual-based collision avoidance technology in controlled industrial settings. Increasing productivity in industrial workplaces creates a need for faster industrial vehicles. At fruit and vegetable markets and construction sites, forklift .... Visual intelligence for safe vehicle operation in industrial environment. Visual intelligence for safe vehicle operation in industrial environment. This project aims to develop safety devices for loosely constrained environments with public access, building on visual-based collision avoidance technology in controlled industrial settings. Increasing productivity in industrial workplaces creates a need for faster industrial vehicles. At fruit and vegetable markets and construction sites, forklift drivers, crane operators and crews are under pressure to move faster. The need for higher speed and the enormous human and financial cost of unsafe operations create opportunities for the deployment of intelligent safety devices. The expected outcomes of this project are safer public industrial environments, reductions in work related injuries, injury compensation costs and associated societal burdens.
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    Funded Activity

    Linkage Projects - Grant ID: LP130100521

    Funder
    Australian Research Council
    Funding Amount
    $252,000.00
    Summary
    Intelligent collision avoidance system for mobile industrial platforms. This project will develop a collision prevention system for mobile industrial platforms that enhances existing artificial vision perception systems to mimic human eye capabilities. The outcomes of this project will result in significant reductions in work related injuries, injury compensation costs and associated societal burdens.
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    Showing 1-6 of 6 Funded Activites

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