Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100079
Funder
Australian Research Council
Funding Amount
$320,000.00
Summary
A haptic-based immersive motion platform for human performance evaluation. A haptic-based immersive motion platform for human performance evaluation: This project aims to establish a motion platform capable of combining continuous centrifugal rotation and large linear displacement with an additional five degrees of motion. The system will house a human subject at the end of a large serial robot similar to a human arm, which can rotate continuously about its base. The robot arm will be installed ....A haptic-based immersive motion platform for human performance evaluation. A haptic-based immersive motion platform for human performance evaluation: This project aims to establish a motion platform capable of combining continuous centrifugal rotation and large linear displacement with an additional five degrees of motion. The system will house a human subject at the end of a large serial robot similar to a human arm, which can rotate continuously about its base. The robot arm will be installed on a large linear axis enabling the simulation of movements and accelerations along a straight path as well as rotation provided by other axes of the robot. The motion platform will comprise audio and visual devices, and haptic-based control mechanisms, for example a steering wheel and pedals or a helicopter cyclic, to provide a number of human immersed scenarios for driving/flying training and human perception evaluation.Read moreRead less
Repetitive control systems in networked environments. Repetitive control is used in many industry applications to track periodic references and reject periodic disturbances. The development of digital technology brings in more networked control systems, greatly improving distributed manufacturing, which creates new design challenges due to network-induced constraints such as delay, data packet dropouts and cyber-attacks. This project aims to provide new understanding of dynamic behaviours of rep ....Repetitive control systems in networked environments. Repetitive control is used in many industry applications to track periodic references and reject periodic disturbances. The development of digital technology brings in more networked control systems, greatly improving distributed manufacturing, which creates new design challenges due to network-induced constraints such as delay, data packet dropouts and cyber-attacks. This project aims to provide new understanding of dynamic behaviours of repetitive control systems in networked environments, and develop a new theory for the analysis and design of networked repetitive control, subject to network induced constraints. The new control systems should reduce the cost of automation systems and will significantly enhance their performance, allowing Australian industry to remain economically competitive.Read moreRead less
Robotic microsurgery: intra-operative measurement, modelling and micromanipulation control. This research will significantly improve microsurgery and minimally invasive surgery techniques, and further produce important benefits to medicine and healthcare. The project will also open new domains in the capabilities of modelling and control of complex systems with significant impact and benefits to numerous science and engineering practices.
Laser-based sensing, measurement and control of multi-axis flexure-based mechanisms for nano manipulations. The project aims to investigate fundamental issues in measurement, design, optimisation, and control of multi-axis flexure-based nano manipulators. It aims to establish novel sensing methodologies for position and orientation measurements and feedback, and advanced control techniques for nano manipulation in view of actuators’ nonlinearities, interferences among motion axes, and external d ....Laser-based sensing, measurement and control of multi-axis flexure-based mechanisms for nano manipulations. The project aims to investigate fundamental issues in measurement, design, optimisation, and control of multi-axis flexure-based nano manipulators. It aims to establish novel sensing methodologies for position and orientation measurements and feedback, and advanced control techniques for nano manipulation in view of actuators’ nonlinearities, interferences among motion axes, and external disturbances. The research is significant as such nano manipulators and methodologies represent the building blocks for many future scientific and engineering nano manipulation systems. The project will establish new knowledge, methodologies, and instrumentations for measurement, characterisation and control of multi-axis flexure-based nano manipulators.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100175
Funder
Australian Research Council
Funding Amount
$475,000.00
Summary
A high-payload, high-fidelity haptically-enabled motion simulation facility. An Australian-first motion simulation facility consisting of a high-payload, high-fidelity Stewart platform mounted on a dual-axis linear track is proposed. The facility will allow high acceleration and high vibration manoeuvres, and large displacements through an eight-degrees-of-freedom range of motion. It can carry the entire control compartment of a heavy vehicle, a truck, an ambulance, a train, or a multi-operator ....A high-payload, high-fidelity haptically-enabled motion simulation facility. An Australian-first motion simulation facility consisting of a high-payload, high-fidelity Stewart platform mounted on a dual-axis linear track is proposed. The facility will allow high acceleration and high vibration manoeuvres, and large displacements through an eight-degrees-of-freedom range of motion. It can carry the entire control compartment of a heavy vehicle, a truck, an ambulance, a train, or a multi-operator cockpit of a mining vehicle for simulation. The outcome will provide significant benefits for virtual vehicle prototyping and testing, driver training and behaviour modelling, motion perception and motion sickness research; therefore advancing Australia as the global leader in motion simulation and vehicular technologies.Read moreRead less
High yield adaptive laser nanomanufacturing system for photonic devices. This project aims at developing an entirely new nanofabrication platform combining adaptive beamshaping with highly accurate large area nanopositioner to simultaneously address the throughput and accuracy challenges in nanomanufacturing. The proposed prototype system and fabricated photonic chips have performance far surpassing the state-of-the-art. Through trial in the industrial best laser nanofabrication system, commerci ....High yield adaptive laser nanomanufacturing system for photonic devices. This project aims at developing an entirely new nanofabrication platform combining adaptive beamshaping with highly accurate large area nanopositioner to simultaneously address the throughput and accuracy challenges in nanomanufacturing. The proposed prototype system and fabricated photonic chips have performance far surpassing the state-of-the-art. Through trial in the industrial best laser nanofabrication system, commercial benefits can be fast tracked for Australian industry in the rapidly expanding nanomanufacturing field. The outcomes lead to a platform technology enabling broad impact and benefits to other high-tech applications requiring high precision and throughput, enhancing Australia’s leading position in advanced manufacturing.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130101402
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Advanced laser micromachining with femtosecond vector beams. This project is aimed at developing a new method for ultra-precision laser micromachining and dissection of biological tissues using femtosecond vector beams. The capability of these unconventional laser beams to process different materials with unsurpassed precision and efficiency offers significant economic and clinical benefits.
Advanced Magnetic Resonance Imaging at 7 Tesla: Resolving the fundamental radiofrequency field-tissue interaction problem at ultra-high field. Ultra-high-field Magnetic Resonance Imaging (MRI) systems offer the potential for faster, more accurate diagnostic imaging. However, current applications are limited by the fundamental challenge of strong interactions between the electromagnetic field and human tissues, which result in poor image quality and/or compromised patient safety. Using a novel, s ....Advanced Magnetic Resonance Imaging at 7 Tesla: Resolving the fundamental radiofrequency field-tissue interaction problem at ultra-high field. Ultra-high-field Magnetic Resonance Imaging (MRI) systems offer the potential for faster, more accurate diagnostic imaging. However, current applications are limited by the fundamental challenge of strong interactions between the electromagnetic field and human tissues, which result in poor image quality and/or compromised patient safety. Using a novel, subject-specific imaging approach, this research will design and develop an ultra-high-field radiofrequency technology capable of offering high-performance imaging without jeopardising patient safety. This research will lay the groundwork for the translation of ultra-high field MRI research into clinical practice, generating new capabilities for diagnostic technologies.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101741
Funder
Australian Research Council
Funding Amount
$389,220.00
Summary
Development of a Self-powered Wireless Sensor Network from Renewable Energy for Integrated Structural Health Monitoring and Diagnosis. This project aims to develop a green and sustainable self-powered wireless sensor network from renewable energy sources, such as wind, sea wave and operational vibrations, for integrated structural health monitoring and diagnosis to support infrastructure management. Vibration based energy harvesting techniques will be investigated to power the wireless sensor ne ....Development of a Self-powered Wireless Sensor Network from Renewable Energy for Integrated Structural Health Monitoring and Diagnosis. This project aims to develop a green and sustainable self-powered wireless sensor network from renewable energy sources, such as wind, sea wave and operational vibrations, for integrated structural health monitoring and diagnosis to support infrastructure management. Vibration based energy harvesting techniques will be investigated to power the wireless sensor networks and support the long term condition monitoring. Vibration data from the sensor network will be used for damage detection, performance assessment and safety evaluation of structures. The impact of the project output includes fundamental advances in vibration energy harvesting, wireless sensor network and intelligent structural health monitoring strategy for Australian infrastructure.Read moreRead less
Integrity prediction of ground precision surfaces. This project aims to establish a new approach to enable a reliable and accurate prediction of precision surface grinding. Precision grinding is often the final step in the manufacturing chains for a broad range of metal, ceramic, optical glass and semiconductor components, which must have ultra-high surface integrity and accurate dimensions. To date, the surface integrity of a ground component cannot be predicted due to the involvement of many r ....Integrity prediction of ground precision surfaces. This project aims to establish a new approach to enable a reliable and accurate prediction of precision surface grinding. Precision grinding is often the final step in the manufacturing chains for a broad range of metal, ceramic, optical glass and semiconductor components, which must have ultra-high surface integrity and accurate dimensions. To date, the surface integrity of a ground component cannot be predicted due to the involvement of many random factors and variables in a precision surface grinding process, resulting in high failure rates and processes requiring repeated surface measurements. The novel approach for surface integrity prediction developed by this project will make a vital step forward in advancing the discipline of precision surfacing, establish a new knowledge base and bring about significant technological impacts to the manufacturing industry.Read moreRead less