Parallel-Link Mechanism Control using new Concept and Techniques. The new knowledge and techniques, as a result of this research project, will have direct relevance to many Australian industries. In particular, they provide opportunities to improve Australia's competitiveness through innovations for the manufacturing sector. For this sector, increasing global competition and tariff reductions pose serious challenges to its continuing international competitiveness. There is an urgent need to deve ....Parallel-Link Mechanism Control using new Concept and Techniques. The new knowledge and techniques, as a result of this research project, will have direct relevance to many Australian industries. In particular, they provide opportunities to improve Australia's competitiveness through innovations for the manufacturing sector. For this sector, increasing global competition and tariff reductions pose serious challenges to its continuing international competitiveness. There is an urgent need to develop cost effective innovative products. The outcomes of this research will produce a faster, more accurate, cheaper and optimally controlled parallel-link robot than currently available. 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
Development of Robust Control Systems for Magneto-Rheological Fluid-Based Smart Structures. Possessing the ability to withstand such destructive dynamic loading as gusty winds, fierce waves, and earthquakes, the smart structures of the future will enjoy the unprecedented safety and comfort bringing to their occupants and contents. This will directly benefit Australians. The development of the smart structure technology will also give domestic consultants the ability to compete internationally ....Development of Robust Control Systems for Magneto-Rheological Fluid-Based Smart Structures. Possessing the ability to withstand such destructive dynamic loading as gusty winds, fierce waves, and earthquakes, the smart structures of the future will enjoy the unprecedented safety and comfort bringing to their occupants and contents. This will directly benefit Australians. The development of the smart structure technology will also give domestic consultants the ability to compete internationally, resulting in obvious economic dividends and advantages benefiting Australia. Moreover, a successful effort leading to a major breakthrough of the important area of seismic protection research will have a significant impact far beyond the border of this country.Read moreRead less
Fast Precision Robust Control of Resonant Flexible Systems. The project aims to produce new control system design tools to enable fast precision control of advanced engineering systems encorporating flexible structures. This should enable improved speed and accuracy in control systems for precision instruments such as atomic force microscopes along with improving control system performance in areas of precision engineering such as semiconductor manufacturing, robotics and microelectromechanical ....Fast Precision Robust Control of Resonant Flexible Systems. The project aims to produce new control system design tools to enable fast precision control of advanced engineering systems encorporating flexible structures. This should enable improved speed and accuracy in control systems for precision instruments such as atomic force microscopes along with improving control system performance in areas of precision engineering such as semiconductor manufacturing, robotics and microelectromechanical systems. The outcomes are expected to be new control system synthesis and modelling tools enabling fast and highly accurate control of industrial systems using nonlinear and switching elements and achieving high levels of robustness. This will benefit Australian precision manufacturing industries.Read moreRead less
Nonlinear Quantum Control Engineering. This project will develop tractable methods for the design of robust, nonlinear, coherent feedback control systems building on the approach of quantum risk sensitive control and extending classical nonlinear control methods. It will also develop methods to design robust and nonlinear filters and coherent observers for nonlinear and finite level quantum systems and apply these results to the design of robust measurement based quantum controllers. In addition ....Nonlinear Quantum Control Engineering. This project will develop tractable methods for the design of robust, nonlinear, coherent feedback control systems building on the approach of quantum risk sensitive control and extending classical nonlinear control methods. It will also develop methods to design robust and nonlinear filters and coherent observers for nonlinear and finite level quantum systems and apply these results to the design of robust measurement based quantum controllers. In addition, the project will apply coherent and measurement based robust control methods to achieve useful emergent behaviours in nonlinear quantum networks. Such emergent behaviours may involve the robust reduction of decoherence effects and the robust solution of quantum computational problems. Read moreRead less
Personalised assistive robotic systems: Optimised collaborative teaming . Robotic assistance for humans performing physical tasks provides significant benefits in various sectors from advanced manufacturing and defence through to rehabilitation, prosthetics and aged care. However, most robotic systems are designed with an average user in mind rather than tailored to the individual. This innovative project will focus on developing new techniques for adapting the interface between human and robot ....Personalised assistive robotic systems: Optimised collaborative teaming . Robotic assistance for humans performing physical tasks provides significant benefits in various sectors from advanced manufacturing and defence through to rehabilitation, prosthetics and aged care. However, most robotic systems are designed with an average user in mind rather than tailored to the individual. This innovative project will focus on developing new techniques for adapting the interface between human and robotic systems, leading to personalised physical interactions that outperform traditional approaches in achieving a shared performance goal even in unstructured environments. The tools developed will be demonstrated using state-of-the-art facilities, and will leverage the unique skill sets of the international project team.Read moreRead less
Non-invasive and safe human-machine interface (HMI) systems . This project aims to establish novel non-invasive human-machine interface systems based on multi-modal sensing and machine learning to intuitively command and control robotic and autonomous systems safely interacting and cooperating with humans. This will be achieved by harnessing the synergies across design optimisation, multi-modal sensing, additive manufacturing, machine learning, and assistive and cooperative robotic devices. Expe ....Non-invasive and safe human-machine interface (HMI) systems . This project aims to establish novel non-invasive human-machine interface systems based on multi-modal sensing and machine learning to intuitively command and control robotic and autonomous systems safely interacting and cooperating with humans. This will be achieved by harnessing the synergies across design optimisation, multi-modal sensing, additive manufacturing, machine learning, and assistive and cooperative robotic devices. Expected outcomes are a novel human-machine interface methodology, a new multi-purpose wearable data glove, and function and application-specific machine learning methods for cutting-edge applications in assistive robotic devices such as a prosthetic hand, advanced manufacturing, construction and agriculture.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.
Human-Robot Co-Evolution: Achieving the full potential of future workplaces. Physical human-robot systems are widely used to amplify the capability of human labourers and improve ergonomics in the workplace. This project aims to develop robot controllers that shape the co-evolution of these systems. Through physical human-robot interaction studies it will generate new knowledge of how humans adapt to working with robots, which will then be incorporated into the robot controller design. Expected ....Human-Robot Co-Evolution: Achieving the full potential of future workplaces. Physical human-robot systems are widely used to amplify the capability of human labourers and improve ergonomics in the workplace. This project aims to develop robot controllers that shape the co-evolution of these systems. Through physical human-robot interaction studies it will generate new knowledge of how humans adapt to working with robots, which will then be incorporated into the robot controller design. Expected outcomes include a better understanding of human adaptation and a systematic approach to shaping human-robot interaction over time. This should provide significant benefits across different skill and labour-intensive industries in Australia, such as improved worker productivity and safer human-robot collaboration.Read moreRead less
Learning from Uncertain and Missing Labelling in Relational Data. Perceptual models for unstructured environments require complex modelling, usually specified in an ad-hoc manner. This project will substantially increase the range of robotic applications by learning more complex spatial statistical models for perception in challenging environments. Robots will be able to improve their perception capabilities with minimal human supervision.
Mining is one of the major components of the Australian ....Learning from Uncertain and Missing Labelling in Relational Data. Perceptual models for unstructured environments require complex modelling, usually specified in an ad-hoc manner. This project will substantially increase the range of robotic applications by learning more complex spatial statistical models for perception in challenging environments. Robots will be able to improve their perception capabilities with minimal human supervision.
Mining is one of the major components of the Australian economy. This project will improve mining automation and contribute to a more efficient industry, capable to compete internationally in the new globalisation context. Efficient extraction will also reduce the human impact and will be a significant factor for an environmentally sustainable development. Read moreRead less