Community Self-determination in the Era of Automated Home Delivery Systems. Urban environments in Australia and internationally are on the cusp of major disruption resulting from impending proliferation of home delivery services using autonomous vehicles in the form of trucks, shuttles, bots, and drones. As witnessed in the case of ride-share services, socio-technical changes can permeate society before effective regulation is introduced unless swift anticipatory action is taken. The aim of this ....Community Self-determination in the Era of Automated Home Delivery Systems. Urban environments in Australia and internationally are on the cusp of major disruption resulting from impending proliferation of home delivery services using autonomous vehicles in the form of trucks, shuttles, bots, and drones. As witnessed in the case of ride-share services, socio-technical changes can permeate society before effective regulation is introduced unless swift anticipatory action is taken. The aim of this project is to deliver the critical information inputs required to empower and protect communities in a future characterised by the widespread use of automated product deliveries. Outputs will include modelled scenarios and negotiated policy recommendations that reflect meaningful community consultation.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC230100001
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Training Centre for Automated Vehicles in Rural and Remote Regions. The Centre will build skills and capability to test and deploy safe, socially acceptable, automated vehicles (AV) for rural, regional and remote Australian public roads, where manufacturing, agriculture, mining and defence industries face significant challenges of driver shortages, rising costs, long distances, rough roads, and environmental impacts. The centre will unite technology providers, regulators, government and end ....ARC Training Centre for Automated Vehicles in Rural and Remote Regions. The Centre will build skills and capability to test and deploy safe, socially acceptable, automated vehicles (AV) for rural, regional and remote Australian public roads, where manufacturing, agriculture, mining and defence industries face significant challenges of driver shortages, rising costs, long distances, rough roads, and environmental impacts. The centre will unite technology providers, regulators, government and end users with world-leading interdisciplinary researchers to create new human-AV systems, datasets, frameworks, case studies, platforms, and a vastly upskilled workforce. This will reduce transport costs, increase capacity, boost supply chain efficiency and resilience, improve road safety, and elevate Australian capability.Read moreRead less
Next-generation Navigation by Mega-constellations LEO Satellites. This research will explore a novel positioning approach using new mega-constellations low-earth-orbit satellite communications signals to address a severe limitation of Global Navigation Satellite Systems (GNSS). It will facilitate improved positioning for services that rely on satellite positioning in challenging environments where GNSS signal visibility is limited, and where accurate positioning is needed. Expected outcomes are ....Next-generation Navigation by Mega-constellations LEO Satellites. This research will explore a novel positioning approach using new mega-constellations low-earth-orbit satellite communications signals to address a severe limitation of Global Navigation Satellite Systems (GNSS). It will facilitate improved positioning for services that rely on satellite positioning in challenging environments where GNSS signal visibility is limited, and where accurate positioning is needed. Expected outcomes are generating new knowledge in using satellite internet signals for navigation, advancing our satellite positioning capability essential for vital applications such as transport, mining and defence, and developing technologies to increase Australia’s satellite innovation capacity with global scalability.Read moreRead less
Going wild: Neural processing in freely moving animals. This project aims to use new techniques in wireless neural recording to reveal how small neural networks process visual information to make fast, accurate decisions. The project is designed to generate new knowledge about biological solutions to contextual information processing and how tiny, simple biological neural systems control critical animal behaviours such as predator avoidance. Expected outcomes will be new biological insights with ....Going wild: Neural processing in freely moving animals. This project aims to use new techniques in wireless neural recording to reveal how small neural networks process visual information to make fast, accurate decisions. The project is designed to generate new knowledge about biological solutions to contextual information processing and how tiny, simple biological neural systems control critical animal behaviours such as predator avoidance. Expected outcomes will be new biological insights with which to develop novel bio-inspired decision-making processing systems as required in small, autonomous robots. The anticipated benefits of this project will be advances in fundamental neuroscience and animal behaviour and is expected to provide significant value to a fast-developing industrial sector.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH200100035
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub in New Safe and Reliable Energy Storage and Conversion Technologies. This Research Hub addresses safety and reliability issues, and environmental impact of current energy storage and conversion technologies. The research will deliver a new generation of technologies for storage from small scale portable devices to large scale industrial applications, using recycled and natural materials, and eliminating the serious fire risk in current technologies. Outcomes include innovative ....ARC Research Hub in New Safe and Reliable Energy Storage and Conversion Technologies. This Research Hub addresses safety and reliability issues, and environmental impact of current energy storage and conversion technologies. The research will deliver a new generation of technologies for storage from small scale portable devices to large scale industrial applications, using recycled and natural materials, and eliminating the serious fire risk in current technologies. Outcomes include innovative integrated energy conversion and storage technologies and new energy materials and devices designed for different scale applications, leading to creation of start up companies and commercialisation opportunities for existing partners, benefiting both the Australian economy and potentially transforming the energy industry landscape.Read moreRead less
Analysis and modeling of driving patterns for limited-range electric vehicles. The electrification of the personal transport sector seems to be only a matter of time. It is important to study and model the effects of this sector now, in order to recommend decision makers on issues like standardization and infrastructure planning. Understanding and being able to predict EV driving and charging patterns will allow us to provide planning assistance for:
· Effects of day-time dependent energy pri ....Analysis and modeling of driving patterns for limited-range electric vehicles. The electrification of the personal transport sector seems to be only a matter of time. It is important to study and model the effects of this sector now, in order to recommend decision makers on issues like standardization and infrastructure planning. Understanding and being able to predict EV driving and charging patterns will allow us to provide planning assistance for:
· Effects of day-time dependent energy pricing structure on EV charging behavior
· Optimal energy pricing to encourage off-peak charging
· Optimal number and location of EV charging stations
· Expected uptake of PHEV/EVs depending on petrol, electricity and conversion cost
· Expected additional energy demand for EVs and PHEVs with day-time energy usage pattern
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Discovery Early Career Researcher Award - Grant ID: DE230101058
Funder
Australian Research Council
Funding Amount
$437,254.00
Summary
Glass-box Deep Machine Perception for Trustworthy Artificial Intelligence. Explainability and Transparency are the key values for development and deployment of Artificial Intelligence (AI) in Australia’s AI Ethics Framework for industry and governments. This project aims to build new tools to make the central technology of AI - deep learning - transparent and explainable. Its expected outputs are novel theory-driven algorithms and unconventional foundational blocks for deep learning that will al ....Glass-box Deep Machine Perception for Trustworthy Artificial Intelligence. Explainability and Transparency are the key values for development and deployment of Artificial Intelligence (AI) in Australia’s AI Ethics Framework for industry and governments. This project aims to build new tools to make the central technology of AI - deep learning - transparent and explainable. Its expected outputs are novel theory-driven algorithms and unconventional foundational blocks for deep learning that will allow humans to clearly interpret the reasoning process of this technology, which is currently not possible. It is expected to significantly advance our knowledge in machine intelligence and perception. Due to their fundamental nature, the project outcomes are likely to benefit industry and scientific frontiers alike.Read moreRead less
Expanding the Foundation of Planetary Science. Our understanding of the Solar System is based on a foundation of meteorite analyses. Knowing their orbital origin provides a critical spatial context, but we have this data for <0.1% of samples. This project aims to address this issue. There are 66 meteorite falls across Australia with orbits determined by the Desert Fireball Network that await recovery - more than the current global dataset. This project expects to generate new knowledge by applyi ....Expanding the Foundation of Planetary Science. Our understanding of the Solar System is based on a foundation of meteorite analyses. Knowing their orbital origin provides a critical spatial context, but we have this data for <0.1% of samples. This project aims to address this issue. There are 66 meteorite falls across Australia with orbits determined by the Desert Fireball Network that await recovery - more than the current global dataset. This project expects to generate new knowledge by applying an innovative search methodology using drones and machine learning. Expected outcomes include dramatically increasing the number of orbital meteorites. This should provide significant benefits. By linking meteorites to their parent asteroids every rock becomes a small sample-return mission.Read moreRead less