Micro-electromechanical technology for harnessing terahertz waves. This project proposes novel low-cost miniature devices for spectral, spatial and temporal manipulation of terahertz waves realised using a unified platform based on a single material and fabrication technology sufficiently generic to span the entire very broad terahertz band. It inherently overcomes the most hindering issue of current terahertz instruments relating to the limited span of the spectrum each tool can cover and the h ....Micro-electromechanical technology for harnessing terahertz waves. This project proposes novel low-cost miniature devices for spectral, spatial and temporal manipulation of terahertz waves realised using a unified platform based on a single material and fabrication technology sufficiently generic to span the entire very broad terahertz band. It inherently overcomes the most hindering issue of current terahertz instruments relating to the limited span of the spectrum each tool can cover and the high costs associated with increasing this span; removing the need for making spectral band compromises in the design of future tools. The intended outcome is a platform for terahertz spectroscopic imaging, target recognition, detection of chemical composition of objects, and future high-bandwidth communications.Read moreRead less
Cooperative control of networked systems with constraints. This project aims to address the challenge of networked systems in deploying teams of robotic agents. Control of the networked system is extremely difficult due to real world constraints imposed on each agent. This project will focus on motion constraints, equipment/capability constraints, and spatial constraints. In addition to theoretical advances, the wider scientific community will benefit directly, because the control algorithms dev ....Cooperative control of networked systems with constraints. This project aims to address the challenge of networked systems in deploying teams of robotic agents. Control of the networked system is extremely difficult due to real world constraints imposed on each agent. This project will focus on motion constraints, equipment/capability constraints, and spatial constraints. In addition to theoretical advances, the wider scientific community will benefit directly, because the control algorithms developed are expected to allow straightforward deployment of robotic teams. There are myriad applications for cooperative robotic agents, ranging from surveillance, to environmental monitoring using underwater and aerial drone formations – with an array of benefits and impacts including economic, commercial and societal. The results are intended to ensure and cement Australia’s front-line position in the current technological revolution known as “Industry 4.0”.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100106
Funder
Australian Research Council
Funding Amount
$780,000.00
Summary
A global fireball observatory. This project aims to expand the Desert Fireball Network (DFN) and build a Global Fireball Observatory. Nearly everything known about the origin and evolution of the solar system comes from analysis of meteorite falls, but scientists have almost no constraint on where they come from. This project will address this constraint by tracking hundreds of meteorite falls, and pinpointing each one’s origin in the solar system. Benefits include capitalising on the innovation ....A global fireball observatory. This project aims to expand the Desert Fireball Network (DFN) and build a Global Fireball Observatory. Nearly everything known about the origin and evolution of the solar system comes from analysis of meteorite falls, but scientists have almost no constraint on where they come from. This project will address this constraint by tracking hundreds of meteorite falls, and pinpointing each one’s origin in the solar system. Benefits include capitalising on the innovations and technologies that underpinned the DFN, and leveraging a NASA partnership for administrative support and advanced instrumentation development. Tracking for space situational awareness is also expected to benefit Australian national security.Read moreRead less
The Global Fireball Observatory: Illuminating Solar System Origins. Virtually everything we know about the origin and evolution of our solar system comes from analysis of meteorites. But reading the record they contain has proven to be difficult: we have almost no constraint on where they come from. With ARC LIEF support, Australian planetary scientists are leading a consortium of 14 international teams to build a Global Fireball Observatory. The facility, with a unique global footprint, will be ....The Global Fireball Observatory: Illuminating Solar System Origins. Virtually everything we know about the origin and evolution of our solar system comes from analysis of meteorites. But reading the record they contain has proven to be difficult: we have almost no constraint on where they come from. With ARC LIEF support, Australian planetary scientists are leading a consortium of 14 international teams to build a Global Fireball Observatory. The facility, with a unique global footprint, will be complete by end-2019. It will track 100s of meteorite falls, and for each one, pinpoint its origin in the solar system. A NASA partnership will provide administrative support. Curtin University will fund its operation. The proposal here is for a researcher and student who can drive the science program.Read moreRead less
Exploring solar system origins with the Desert Fireball Network. This project aims to explore the science delivered by the Desert Fireball Network (DFN), a continent-wide facility comprising dozens of observatories across remote and regional Australia, tracking material entering the atmosphere. Meteorites record early solar system processes, but there is no constraint on where they come from. Precise orbits for recovered meteorites can solve that problem. This project will use the largest datase ....Exploring solar system origins with the Desert Fireball Network. This project aims to explore the science delivered by the Desert Fireball Network (DFN), a continent-wide facility comprising dozens of observatories across remote and regional Australia, tracking material entering the atmosphere. Meteorites record early solar system processes, but there is no constraint on where they come from. Precise orbits for recovered meteorites can solve that problem. This project will use the largest dataset of fireball orbits ever acquired, while a supercomputer imagery archive provides a way-back machine for researchers. DFN tracking of satellites, debris re-entry and overseas rocket launches directly benefits Australian national security and a mature outreach programme aims to deliver the outcomes of this research to the public.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120102388
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
From Bayesian filtering to smoothing and prediction for multiple object systems. This project will develop new and improved algorithms for tracking multiple targets, such as tanks, submarines or planes, using the state of the art in mathematical and computational design. These will enable more efficient and accurate technologies for defence related applications including intelligence, surveillance and reconnaissance.
Parameter estimation for multi-object systems. Parameter estimation in multi-object system is essential to the application of multi-object filtering to a wider range of practical problems with social and commercial benefits. This project develops the necessary parameter estimation techniques for complete 'plug-and-play' multi-object filtering solutions that facilitates widespread applications.
Control and Optimization of Distributed Multiagent Formations. The project aims to develop a conceptual framework and algorithms for handling multi-vehicle formation control. Formations of unmanned airborne vehicles are currently used by defence forces and swarms of micro-vehicles are beginning to find increasing use in defence and for civilian emergency response, largely for surveillance purposes. Vehicles must cooperate to achieve a global formation objective, while respecting constraints on s ....Control and Optimization of Distributed Multiagent Formations. The project aims to develop a conceptual framework and algorithms for handling multi-vehicle formation control. Formations of unmanned airborne vehicles are currently used by defence forces and swarms of micro-vehicles are beginning to find increasing use in defence and for civilian emergency response, largely for surveillance purposes. Vehicles must cooperate to achieve a global formation objective, while respecting constraints on sensors, energy, and general mechanical limitations. The project aims to resolve the challenges of deciding what a single vehicle should observe, what and to where it should communicate, and how it should move in relation to what it sees. The conceptual framework developed may also be relevant in guiding future defence acquisitions and civilian applications.Read moreRead less
A stochastic geometric framework for Bayesian sensor array processing. This project develops a mathematical framework, and a new generation of techniques, for sensor array processing to address real-world problems with uncertainty in array parameters and number of signals. The outcomes will enhance the capability of sensors in many application areas including, radar, sonar, astronomy and wireless communications.
High speed, high sensitivity thermal imaging. This project aims to increase sensitivity-speed product of thermal imagers by the novel using porous materials. Increased sensitivity-speed products will improve thermal imager effectiveness in motion capture and high resolution remote sensing applications. To develop these porous materials, this project will study the interdependence of optical, mechanical, thermal and electrical properties at the micro- and nano-scale. It will create a narrowband r ....High speed, high sensitivity thermal imaging. This project aims to increase sensitivity-speed product of thermal imagers by the novel using porous materials. Increased sensitivity-speed products will improve thermal imager effectiveness in motion capture and high resolution remote sensing applications. To develop these porous materials, this project will study the interdependence of optical, mechanical, thermal and electrical properties at the micro- and nano-scale. It will create a narrowband resonant cavity detector which increases sensitivity and provides spectral filtering for remote sensing and gas detection. This technology is built on a low-cost scalable all-silicon platform. This technology could benefit road safety, border security, defence, aerospace, remote sensing and industrial monitoring.Read moreRead less