Human models for accelerated robot learning and human-robot interaction. This project aims to develop novel approaches to teach robots to proficiently interact with humans in a safe and low-cost manner. To achieve this aim, this project will develop novel models from which various human behaviours can be generated and used to train human-robot interaction policies in simulation. Expected outcomes of this project include new computational models of human behaviour built using cognitive science th ....Human models for accelerated robot learning and human-robot interaction. This project aims to develop novel approaches to teach robots to proficiently interact with humans in a safe and low-cost manner. To achieve this aim, this project will develop novel models from which various human behaviours can be generated and used to train human-robot interaction policies in simulation. Expected outcomes of this project include new computational models of human behaviour built using cognitive science theories and limited data and new training schemes for robot learning in simulation. By training robots in simulation with accurate human models, this research will enable fast and safe robot training to support the deployment and adoption of robots in human contexts such as healthcare facilities, homes, and workplaces.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
Decision making and mission planning for Unmanned Underwater Vehicles. The work specifically addresses the National Research Priorities
in sustainable use of Australia's biodiversity, techniques for
transforming Australian industry and Safeguarding Australia.
Without a thorough understanding of processes that affect the
state of health of our oceans they will continue to be affected by
natural phenomena and stresses caused by human activity. A more
comprehensive understanding of these natu ....Decision making and mission planning for Unmanned Underwater Vehicles. The work specifically addresses the National Research Priorities
in sustainable use of Australia's biodiversity, techniques for
transforming Australian industry and Safeguarding Australia.
Without a thorough understanding of processes that affect the
state of health of our oceans they will continue to be affected by
natural phenomena and stresses caused by human activity. A more
comprehensive understanding of these natural systems and the
interplay with human activities is therefore essential.Read moreRead less
Autonomous Exploration and Characterization of Benthic Habitats Linked to Oceanographic Processes. The work specifically addresses the National Research Priorities in sustainable use of Australia's biodiversity and climate change. Without a thorough understanding of processes that affect the state of health of our oceans they will continue to be affected by natural phenomena and stresses caused by human activity. A more comprehensive understanding of these natural systems and the interplay with ....Autonomous Exploration and Characterization of Benthic Habitats Linked to Oceanographic Processes. The work specifically addresses the National Research Priorities in sustainable use of Australia's biodiversity and climate change. Without a thorough understanding of processes that affect the state of health of our oceans they will continue to be affected by natural phenomena and stresses caused by human activity. A more comprehensive understanding of these natural systems and the interplay with human activities is therefore essential.Read moreRead less
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
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
A new paradigm for teaching machines to replicate the manipulation skills of humans using tactile sensing in a virtual environment. The broad aims of this proposal are to study machine learning in the psychomotor domain, and to show the feasibility of on line transfer of physically constrained manipulation skills from a human operator to a manipulator through demonstration utilising a virtual training environment with tactile sensing. The proposed work is unique in its approach and hypothesis, a ....A new paradigm for teaching machines to replicate the manipulation skills of humans using tactile sensing in a virtual environment. The broad aims of this proposal are to study machine learning in the psychomotor domain, and to show the feasibility of on line transfer of physically constrained manipulation skills from a human operator to a manipulator through demonstration utilising a virtual training environment with tactile sensing. The proposed work is unique in its approach and hypothesis, and will provide a new insight into the nature of transfer of manipulation skills from human to machine. It will produce new generic intelligent algorithms and methodologies to emulate different stages of human psychomotor learning in machine including perception, imitation, mechanism and complex/overt response.Read moreRead less
Robust Coherent Control Engineering for Quantum Systems and Networks. This project aims to develop new methods for the design of robust coherent controllers for emerging applications to quantum systems and networks. Using robust controllers which are themselves quantum systems, tools from the theory of optimal risk sensitive control aim to enable technological systems to be designed with high levels of performance in the face of unavoidable uncertainties due to imperfect fabrication and interact ....Robust Coherent Control Engineering for Quantum Systems and Networks. This project aims to develop new methods for the design of robust coherent controllers for emerging applications to quantum systems and networks. Using robust controllers which are themselves quantum systems, tools from the theory of optimal risk sensitive control aim to enable technological systems to be designed with high levels of performance in the face of unavoidable uncertainties due to imperfect fabrication and interactions with the environment. The research aims to yield systematic control engineering methods to combat the effects of quantum decoherence which is critical in order to make quantum technologies such as quantum computing truly practical. Applications include computing, secure communications, sensing and simulationsRead moreRead less