Robotics for zero-tillage agriculture. This project will develop small agricultural robots to increase broad-acre crop production and reduce environmental impact. These robots will have advanced navigation capability, will cooperate to cover large areas and resupply themselves, while causing less soil damage and applying herbicide more intelligently.
Lifelong robotic navigation using visual perception. Service robots are becoming a major part of our working and personal environments, in much the same way as personal computers already have. This project will develop new methods of practical and useful robot navigation that will enable Australia's industries and services to remain internationally competitive.
Discovery Early Career Researcher Award - Grant ID: DE120100995
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Visual navigation for sunny summer days and stormy winter nights. This project will develop innovative techniques for camera-based navigation that recognise locations under a wide range of environmental conditions caused by day-night cycles, weather and seasonal change. These techniques will enable the widespread use of cheap and lightweight cameras in robot and personal navigation systems.
Minimising the inappropriate and unnecessary hospital admissions of frail older people. The health system will continue to experience massive pressures in both fiscal and human resource terms. Older patients present with multiple, complex conditions and tend to be admitted because clinicians often do not have the time to explore other options. This project will develop and evaluate a unique and robust model for minimising inappropriate hospital admissions through rapid assessment of suitability ....Minimising the inappropriate and unnecessary hospital admissions of frail older people. The health system will continue to experience massive pressures in both fiscal and human resource terms. Older patients present with multiple, complex conditions and tend to be admitted because clinicians often do not have the time to explore other options. This project will develop and evaluate a unique and robust model for minimising inappropriate hospital admissions through rapid assessment of suitability for home care and complete referral information for safety and quality. Read moreRead less
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
Assuring dependability of complex adaptive multi-agent systems using time bands. As the complexity of computer-based systems rapidly increases, we need new methods for assuring their correct behaviour. This project will provide a means of relating behaviour at different timescales, enabling us to understand how the long-term behaviour of a system results from the short-term interactions between its components.
Discovery Early Career Researcher Award - Grant ID: DE130100885
Funder
Australian Research Council
Funding Amount
$374,723.00
Summary
Aerial robots contacting objects in dynamic environments. This project will allow small unmanned aerial vehicles to touch objects to perform tasks and to fly confidently in complex and cluttered environments where contact with surroundings is inevitable. This will enable robots to perform critical tasks such as servicing power lines, bridges and other elevated infrastructure.
Multi-resolution spatial query processing. The cost of spatial query processing is directly related to spatial data complexity and accuracy. While spatial data is often stored in a database with the highest level of detail available, not all applications require the same level of detail. Recognising the difficulties of multiple representations of spatial data, in this project we propose to use multi-resolution data structures as a new foundation for efficient, application-dependent, on-demand de ....Multi-resolution spatial query processing. The cost of spatial query processing is directly related to spatial data complexity and accuracy. While spatial data is often stored in a database with the highest level of detail available, not all applications require the same level of detail. Recognising the difficulties of multiple representations of spatial data, in this project we propose to use multi-resolution data structures as a new foundation for efficient, application-dependent, on-demand derivation of data at different resolution levels. The systematic approach adopted in this project has the potential to deliver performance improvement that previous algorithm-level-only research cannot match.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0210995
Funder
Australian Research Council
Funding Amount
$100,000.00
Summary
The Creation of an Eye Movement Recording Facility in Queensland. There are countless uses for technology that records visual behaviour; these include reading and cognitive psychology research, ergonomic design, web site usability testing, and evaluation of visual information (for example advertising or in ?virtual? environments). As such, recording eye movements has applications in pure and applied research, and in teaching demonstrations for students.
This application proposes to purchase ey ....The Creation of an Eye Movement Recording Facility in Queensland. There are countless uses for technology that records visual behaviour; these include reading and cognitive psychology research, ergonomic design, web site usability testing, and evaluation of visual information (for example advertising or in ?virtual? environments). As such, recording eye movements has applications in pure and applied research, and in teaching demonstrations for students.
This application proposes to purchase eye movement recording equipment to form a dedicated and truly collaborative facility to measure visual behaviour. The facility would be unique in Australia and would be invaluable to both further understand visual/cognitive processes and how individuals interact with their environments.Read moreRead less
Special Research Initiatives - Grant ID: SR0567199
Funder
Australian Research Council
Funding Amount
$74,233.00
Summary
Collaborative Working using Shared Applications in the Access Grid. This project aims to further develop an amplified collaboration environment, based on the Access Grid (AG), that will support shared software applications between geographically distributed research groups. This enhanced AG will provide a platform for collaborative and network-based, shared scientific visualisation tools. The project will build upon our all-linux AG, the emerging suite of tools for tiled displays and our strateg ....Collaborative Working using Shared Applications in the Access Grid. This project aims to further develop an amplified collaboration environment, based on the Access Grid (AG), that will support shared software applications between geographically distributed research groups. This enhanced AG will provide a platform for collaborative and network-based, shared scientific visualisation tools. The project will build upon our all-linux AG, the emerging suite of tools for tiled displays and our strategic collaborations with JCU, Leeds (UK), ANL (USA) and NCHC (Taiwan). Case studies will be on ecological and geosciences data, relevant to agriculture and coastal studies, marine sciences and coral reefsRead moreRead less