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Current Selection
Scheme : Linkage Projects
Status : Closed
Research Topic : Intelligent Robotics
Australian State/Territory : SA
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Artificial Intelligence and Image Processing (2)
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  • Researchers (13)
  • Funded Activities (6)
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  • Funded Activity

    Linkage Projects - Grant ID: LP0989780

    Funder
    Australian Research Council
    Funding Amount
    $78,420.00
    Summary
    The study and development of a 3D real-time stockpile management system. By successfully completing this project, the efficiency of existing infrastructure investments in industries involved in bulk material handling (inclusive of minerals, grain, sugar and woodchips) will be largely improved. This will allow such industries to contain costs and thus increase international competitiveness. Efficiencies gains (in these industries) to date have been in recover and processing with little attention .... The study and development of a 3D real-time stockpile management system. By successfully completing this project, the efficiency of existing infrastructure investments in industries involved in bulk material handling (inclusive of minerals, grain, sugar and woodchips) will be largely improved. This will allow such industries to contain costs and thus increase international competitiveness. Efficiencies gains (in these industries) to date have been in recover and processing with little attention to stockyard and movement within the stockyards. The industries sectors in which will receive the greatest benefits are in rural and remote Australia. There is also the ability of the system to be exported to overseas clients, particularly in the mining sector.
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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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    Funded Activity

    Linkage Projects - Grant ID: LP140100471

    Funder
    Australian Research Council
    Funding Amount
    $354,992.00
    Summary
    New Optimisation and Control Technologies for Milk Powder Manufacturing Processes. Advanced optimisation and control are considered to be one of the top technologies that help milk powder producers operate their plants more efficiently. However, the successful implementations of these technologies are limited due to poor understanding of the relationship between raw material variations and process disturbances with the target variables. Moreover, uncertainties in process measurements also preven .... New Optimisation and Control Technologies for Milk Powder Manufacturing Processes. Advanced optimisation and control are considered to be one of the top technologies that help milk powder producers operate their plants more efficiently. However, the successful implementations of these technologies are limited due to poor understanding of the relationship between raw material variations and process disturbances with the target variables. Moreover, uncertainties in process measurements also prevent reliable control and effective optimisation. This project aims to address these gaps by developing new optimisation and control methods based on effective model reduction and uncertainty process variable identification, to enable Australian milk powder manufacturers to continuously improve productivity and reduce cost.
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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 Projects - Grant ID: LP0349069

    Funder
    Australian Research Council
    Funding Amount
    $247,514.00
    Summary
    Fish-Bird: Autonomous Interactions in a Contemporary Arts Setting. This research aims to investigate and expand the dialogical possibilities that exist between multiple autokinetic objects within a new media arts environment. Communication between the objects, and with their audience, will be explored through the modalities of gesture, motion and written text. A new aesthetic framework for interactive artwork will be created through research into autokinesis and the behavioural patterns that evo .... Fish-Bird: Autonomous Interactions in a Contemporary Arts Setting. This research aims to investigate and expand the dialogical possibilities that exist between multiple autokinetic objects within a new media arts environment. Communication between the objects, and with their audience, will be explored through the modalities of gesture, motion and written text. A new aesthetic framework for interactive artwork will be created through research into autokinesis and the behavioural patterns that evolve between people and autokinetic machines. Outcomes will include a major artwork in three stages, underpinned by a robotics software tool set that facilitates composition and experimentation with autokinetic artwork.
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