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
Information consensus and coordination of multiagent systems. Revolutions in information and communication technologies create a complex 'network of everything'. This project will develop advanced control techniques for such networks, to make the nation's power systems safer, to fly formations of unmanned airborne vehicles, and to extract key information from networks of environmental monitoring sensors.
Discovery Early Career Researcher Award - Grant ID: DE150100548
Funder
Australian Research Council
Funding Amount
$359,000.00
Summary
Neural and robotic correlates of predictive coding and selective attention. Whether a human catching a ball, a dog leaping at a frisbee or a dragonfly hunting prey amidst a swarm, brains both large and small have evolved the ability to focus attention on one moving target, even in the presence of distracters. This project aims to investigate how brains solve this challenging problem by recording the activity of dragonfly neurons that selectively attend to one target whilst ignoring others. The p ....Neural and robotic correlates of predictive coding and selective attention. Whether a human catching a ball, a dog leaping at a frisbee or a dragonfly hunting prey amidst a swarm, brains both large and small have evolved the ability to focus attention on one moving target, even in the presence of distracters. This project aims to investigate how brains solve this challenging problem by recording the activity of dragonfly neurons that selectively attend to one target whilst ignoring others. The project aims to examine how expectation and attention are encoded in the brain and will build an autonomous robot using computational models bio-inspired from this neuronal processing. Robots capable of visually perceiving and interacting with targets in natural environments have applications in health, surveillance and defence.Read moreRead less
Biologically-inspired detection, pursuit and interception of moving objects by unmanned aircraft systems. Although it is well known that aggressive honeybees are very effective at detecting, pursuing and intercepting moving targets, this behaviour has never been studied quantitatively. This project will use high-speed video cinematography to investigate this behaviour, to develop visual algorithms for the detection of moving targets, and to create dynamical models of the mechanisms that control ....Biologically-inspired detection, pursuit and interception of moving objects by unmanned aircraft systems. Although it is well known that aggressive honeybees are very effective at detecting, pursuing and intercepting moving targets, this behaviour has never been studied quantitatively. This project will use high-speed video cinematography to investigate this behaviour, to develop visual algorithms for the detection of moving targets, and to create dynamical models of the mechanisms that control pursuit. The resulting algorithms will be incorporated into unmanned aerial vehicles for detecting, monitoring and tracking other objects in the sky, and their performance will be evaluated. The results will provide a better understanding of the biological basis of pursuit behaviour, as well as lead to novel technologies for aerial surveillance and safety.Read moreRead less
Strategies for mid-air collision avoidance in aircraft: lessons from bird flight. Birds seldom collide with each other and other objects, despite the high speeds at which they fly in complex environments. This project will examine how birds sense and avoid impending collisions, and will use these results to design novel strategies for the detection and avoidance of aircraft mid-air collisions.
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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE240100045
Funder
Australian Research Council
Funding Amount
$410,000.00
Summary
Cryogenic microwave characterization facility for quantum technologies. This project will establish a multi-user, fast-turn-around cryogenic characterization facility for microwave superconducting quantum technologies that are critical components for quantum computer, networks and sensor systems. This facility will lead to a significant improvement in research efficiency, allowing for rapid optimization of devices and components prior to integration into a larger quantum system. Expected outcome ....Cryogenic microwave characterization facility for quantum technologies. This project will establish a multi-user, fast-turn-around cryogenic characterization facility for microwave superconducting quantum technologies that are critical components for quantum computer, networks and sensor systems. This facility will lead to a significant improvement in research efficiency, allowing for rapid optimization of devices and components prior to integration into a larger quantum system. Expected outcomes include the creation of new intellectual property, enhanced engagement with industry, and will further boost Australia's efforts to build a commercially scalable quantum computer. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120101503
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Design of a biologically inspired running and climbing robotic lizard. Watch any movie and it will tell you that robots are the future. The trouble is that recent attempts to build running and climbing robots have had limited success. This project explores locomotion of lizards to improve upon shortfalls in current robotic design, to build biologically inspired robots capable of running and climbing up and down walls.
Discovery Early Career Researcher Award - Grant ID: DE120102873
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Securing networked control and estimation systems and safeguarding critical infrastructure. The purpose of this project is to reduce the likelihood of success, and the severity of impact, of a cyber-attack against networked control and estimation systems operating within critical infrastructure. The outcome will be a suite of algorithms, tools and design considerations for networked, industrial, control systems that satisfy this purpose.