Special Research Initiatives - Grant ID: SR0354703
Funder
Australian Research Council
Funding Amount
$20,000.00
Summary
Robotics Research Network (RRN). The RRN brings together all the best robotics research groups in Australia with the aim of fostering and coordinating cooperative research. The RRN integrates researchers from fields including machine perception, sensing, control, artificial intelligence and mechatronics. The RRN includes representation from twelve Universities, CSIRO and involvement of four ARC Centres. Programmes are proposed to share research facilities, to support training of research personn ....Robotics Research Network (RRN). The RRN brings together all the best robotics research groups in Australia with the aim of fostering and coordinating cooperative research. The RRN integrates researchers from fields including machine perception, sensing, control, artificial intelligence and mechatronics. The RRN includes representation from twelve Universities, CSIRO and involvement of four ARC Centres. Programmes are proposed to share research facilities, to support training of research personnel and promote cooperation in international research programmes. Robotics is already having a substantial impact in industries such as mining and agriculture. Robotics will, in future, offer benefits in areas such as health care, building systems, and defence.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0561136
Funder
Australian Research Council
Funding Amount
$376,352.00
Summary
36-megapixel CCD camera for wide-field astronomy. This project aims to design and build a state-of-the-art 36-megapixel charge-coupled device (CCD) camera for wide-field imaging on a robotic telescope at Siding Spring Observatory. The camera will employ a mosaic of two 18-megapixel CCDs, which are amongst the largest ever fabricated. This new facility will have an unprecedented ability to obtain precision photometry over a wide field, and will enable breakthroughs in research into areas as diver ....36-megapixel CCD camera for wide-field astronomy. This project aims to design and build a state-of-the-art 36-megapixel charge-coupled device (CCD) camera for wide-field imaging on a robotic telescope at Siding Spring Observatory. The camera will employ a mosaic of two 18-megapixel CCDs, which are amongst the largest ever fabricated. This new facility will have an unprecedented ability to obtain precision photometry over a wide field, and will enable breakthroughs in research into areas as diverse as detection of extra-solar planets and nearby supernovae. The camera will also lead to collaborative research with ANU's newly-funded Skymapper telescope, as well as the Anglo-Australian Observatory's 6dF and 2dF instruments.Read moreRead less
Development of Novel Pesticidal Agents. We have discovered a family of naturally occurring plant proteins called the cyclotides that have potent insecticidal activity against Helicoverpa species, one of the major pests on cotton and corn in Australia and world wide. Preliminary evidence has shown that they also have activity against major pests to livestock in Australia, including sheep blowflies. To develop these proteins as potential pesticidal agents it is necessary to understand the struct ....Development of Novel Pesticidal Agents. We have discovered a family of naturally occurring plant proteins called the cyclotides that have potent insecticidal activity against Helicoverpa species, one of the major pests on cotton and corn in Australia and world wide. Preliminary evidence has shown that they also have activity against major pests to livestock in Australia, including sheep blowflies. To develop these proteins as potential pesticidal agents it is necessary to understand the structural basis for their activity. We will do this by chemically synthesising peptides with selected residues mutated to determine their effects on activity.Read moreRead less
Special Research Initiatives - Grant ID: SR0354908
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
The Insect-Plant Chemical Ecology Network (IPCEN). We bring together plant molecular biology, entomology and analytical chemistry to transform three leading fields of Australian research into an advanced science with far reaching capabilities in innovative research and applied outcomes. Expertise studying the biochemical pathways that produce specific plant compounds and expertise in insect recognition and response to these chemicals will be brought together. This will lead to new research outco ....The Insect-Plant Chemical Ecology Network (IPCEN). We bring together plant molecular biology, entomology and analytical chemistry to transform three leading fields of Australian research into an advanced science with far reaching capabilities in innovative research and applied outcomes. Expertise studying the biochemical pathways that produce specific plant compounds and expertise in insect recognition and response to these chemicals will be brought together. This will lead to new research outcomes and solutions to problems in agriculture, horticulture, forestry and protection of Australia's native flora. Researchers are struggling to create these links, constrained by disciplinary boundaries and geographical isolation. Key industries and researchers already support this proposal.Read moreRead less
Australian plague locust population genetics and migratory behaviour. The project will allow improved monitoring and forecasting of locusts in Australia and thereby help prevent locust outbreaks. Benefits will arise directly through greater effectiveness in reducing locust damage to crops, and indirectly to Australian rural industry generally through the economic benefits of reduced losses and locust control costs. Environmental and social benefits will also arise from reduced, better targeted u ....Australian plague locust population genetics and migratory behaviour. The project will allow improved monitoring and forecasting of locusts in Australia and thereby help prevent locust outbreaks. Benefits will arise directly through greater effectiveness in reducing locust damage to crops, and indirectly to Australian rural industry generally through the economic benefits of reduced losses and locust control costs. Environmental and social benefits will also arise from reduced, better targeted use of chemical insecticides. This in turn can produce secondary economic benefits, e.g. through enhanced growth and profitability of the organic beef industry within the main locust-outbreak area. Read moreRead less
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.Read moreRead less
Co-design and dynamic mission optimisation of hypersonic flight vehicles. This project aims to deliver fundamental knowledge by integrating the modelling and control with the design of next generation hypersonic platforms. In an era where Australia's national security reliance on geographic isolation and support from allied forces are being challenged, the research outcomes of this project will play an important role in understanding the capabilities of hypersonic systems. The project will also ....Co-design and dynamic mission optimisation of hypersonic flight vehicles. This project aims to deliver fundamental knowledge by integrating the modelling and control with the design of next generation hypersonic platforms. In an era where Australia's national security reliance on geographic isolation and support from allied forces are being challenged, the research outcomes of this project will play an important role in understanding the capabilities of hypersonic systems. The project will also have significant spillover benefits into other complex system domains, where computational tools can be used to aid in design leading to high embedded-IP products for Australian industry. Furthermore, the proposal encompasses a strong research training aspect, with graduates exposed to leading edge industry and academia.Read moreRead less
Decision making for lifetime affordable and tenable city housing. This project will study home buying decisions and outcomes and use this to provide new insights into housing affordability and liveability. The project will develop an innovative software tool for Australia's home buyers to explore affordability and liveability during home buying, and agent-based modelling of scenarios for urban development futures.
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. Read moreRead less