Human-Robot Experience: diversifying social relationships with robots. This Fellowship aims to diversify social relationships with robots by rethinking how a robot becomes a social agent. The project seeks to generate new knowledge in human-robot interaction through an interdisciplinary arts-led approach, bringing together creative robotics, performance techniques and participatory design. Outcomes will include innovative methods for knowledge transfer that engage stakeholders in the design of ' ....Human-Robot Experience: diversifying social relationships with robots. This Fellowship aims to diversify social relationships with robots by rethinking how a robot becomes a social agent. The project seeks to generate new knowledge in human-robot interaction through an interdisciplinary arts-led approach, bringing together creative robotics, performance techniques and participatory design. Outcomes will include innovative methods for knowledge transfer that engage stakeholders in the design of 'robot-assisted living and working' to promote greater quality and diversity. This research has potential for significant social impact by engaging the public in social robot design. Promoting co-production of knowledge across academic, public and industry sectors will significantly benefit Australia’s robotics industry.Read moreRead less
An advanced framework for multi-agent strategic interactions. Communication security protocols and computer algorithms are expressible in terms of strategic interactions between competing agents, which can be analyzed in a game theory setting. This project will exploit the recent advances in extending this game theory framework to multidimensional spaces, thereby strengthening the theoretical foundations. This will provide new insights into the working of algorithms, potentially improving futur ....An advanced framework for multi-agent strategic interactions. Communication security protocols and computer algorithms are expressible in terms of strategic interactions between competing agents, which can be analyzed in a game theory setting. This project will exploit the recent advances in extending this game theory framework to multidimensional spaces, thereby strengthening the theoretical foundations. This will provide new insights into the working of algorithms, potentially improving future secure key distribution. Multi-agent interactions in higher dimensional spaces are considered intractable using traditional matrix methods and this project will build on our exciting new breakthrough showing that such interactions are tractable using geometric multivectors.Read moreRead less
Shared-space interactions between people and autonomous vehicles. This project aims to understand how autonomous vehicles in urban environments need to interact with the people that they share those spaces with. Autonomous vehicles that are able to operate in shared spaces, such as campuses and pedestrian zones, promise to improve urban life. However, their uptake depends heavily on public acceptance as they operate in close proximity to people. The project investigates whether people are more l ....Shared-space interactions between people and autonomous vehicles. This project aims to understand how autonomous vehicles in urban environments need to interact with the people that they share those spaces with. Autonomous vehicles that are able to operate in shared spaces, such as campuses and pedestrian zones, promise to improve urban life. However, their uptake depends heavily on public acceptance as they operate in close proximity to people. The project investigates whether people are more likely to trust the technology and feel safe if they are able to understand how the system makes decisions and to directly influence its behaviour. Outcomes are expected to promote safe behaviour around urban robotic applications and accelerate the uptake of autonomous systems in Australia’s cities. Read moreRead less
Energy efficient sensing, computing and communication. This research will study trade-offs in resource use: bandwidth, power, and computational capacity of systems of sensors such as cameras, radars, and distributed sensor networks based on a statistical mechanical theory of information processing, leading to practical algorithms to optimize resource use in the design of such systems.
Automating real-time feedback in virtual reality training through data mining. This project will use data mining techniques to develop a real-time feedback system that can be used in virtual reality training environments. This system will not only improve trainees' learning, it will also lead to more efficient use of virtual reality training in industries such as aviation, aerospace, mining, health and emergency services.
Coding for Distributed Storage: Fundamental Limits and Code Designs. Applications such as file sharing, large-scale scientific projects, and social networking are fuelling the need for reliable and sustainable distributed storage systems. This project aims to develop the theory and the code designs for next-generation storage systems that are specifically optimised for the storage needs in such applications. This project is well placed to provide cost-effective, home-grown solutions for Australi ....Coding for Distributed Storage: Fundamental Limits and Code Designs. Applications such as file sharing, large-scale scientific projects, and social networking are fuelling the need for reliable and sustainable distributed storage systems. This project aims to develop the theory and the code designs for next-generation storage systems that are specifically optimised for the storage needs in such applications. This project is well placed to provide cost-effective, home-grown solutions for Australia's future data centre needs. Its potential immediate benefits are: contribution to the knowledge base and fundamental capabilities in storage systems; practical codes tailor-made for different storage applications; IP creation and commercialisation; and, education of future Australian academic and industrial innovators.Read moreRead less
Pushing the digital limits in quantum simulation for advanced manufacturing. This Project aims to enhance the power of high-tech quantum simulators to meet the demands of computer-modelling intensive industries such as drug and vaccine design and new energy. Aligned to Australia’s innovation agenda and Advanced Manufacturing priority, the Project expects to maximise the performance of near- and mid-term quantum simulations using innovative quantum programming techniques related to digitisation a ....Pushing the digital limits in quantum simulation for advanced manufacturing. This Project aims to enhance the power of high-tech quantum simulators to meet the demands of computer-modelling intensive industries such as drug and vaccine design and new energy. Aligned to Australia’s innovation agenda and Advanced Manufacturing priority, the Project expects to maximise the performance of near- and mid-term quantum simulations using innovative quantum programming techniques related to digitisation and control. Expected outcomes include: better understanding of limits in industry-scale quantum computers and improved error mitigation techniques. This should generate long-term productivity increases across a range of important sectors of the Australian economy that benefit from access to more powerful computer modelling.Read moreRead less
Readying Wireless Networks for Future Communications Systems: From Ubiquitous Computing to the Internet of Things. This project aims to prepare wireless networks for future communications systems, by improving the data transmission rates of wireless networks, through developing new coding schemes based on the synergy of noisy-channel coding and index coding. This will allow wireless networks, used in conjunction with the fibre-optic National Broadband Network, to support future high-data-rate an ....Readying Wireless Networks for Future Communications Systems: From Ubiquitous Computing to the Internet of Things. This project aims to prepare wireless networks for future communications systems, by improving the data transmission rates of wireless networks, through developing new coding schemes based on the synergy of noisy-channel coding and index coding. This will allow wireless networks, used in conjunction with the fibre-optic National Broadband Network, to support future high-data-rate and ubiquitous communication services. This project aims to produce new theoretical results in the field of communication theory, and efficient practical coding schemes for wireless communications.Read moreRead less
Millimetre wave communications for mobile broadband systems. This project aims to develop innovative millimetre wave (mmWave) communication theories and techniques, in order to significantly improve the data rate and network capacity for mobile broadband. Pragmatic transceiver designs, channel estimation algorithms, and network optimisation tools will be developed to quantify the potential of this promising wireless infrastructure. The technologies are designed to exploit the abundant mmWave spe ....Millimetre wave communications for mobile broadband systems. This project aims to develop innovative millimetre wave (mmWave) communication theories and techniques, in order to significantly improve the data rate and network capacity for mobile broadband. Pragmatic transceiver designs, channel estimation algorithms, and network optimisation tools will be developed to quantify the potential of this promising wireless infrastructure. The technologies are designed to exploit the abundant mmWave spectrum and complement the state-of-the-art cellular systems to fulfil the formidable demand for ultra-fast data services. The project outcomes are expected to increase mobile broadband speed by an order of magnitude which can benefit end-user experience and open up new opportunities for network providers.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL110100281
Funder
Australian Research Council
Funding Amount
$2,777,066.00
Summary
Large-scale statistical machine learning. This research program aims to develop the science behind statistical decision problems as varied as web retrieval, genomic data analysis and financial portfolio optimisation. Advances will have a very significant practical impact in the many areas of science and technology that need to make sense of large, complex data streams.