Safe and efficient eco-driving using connected and automated vehicles. This project aims to solve the paradox of trading off liveability for mobility by simultaneously reducing traffic congestion, vehicle energy consumption, and emission. This project is expected to generate fundamental knowledge and powerful tools on utilising connected and automated vehicles to help individuals become green drivers. Expected outcomes include ground-breaking models capable of holistically optimising traffic ef ....Safe and efficient eco-driving using connected and automated vehicles. This project aims to solve the paradox of trading off liveability for mobility by simultaneously reducing traffic congestion, vehicle energy consumption, and emission. This project is expected to generate fundamental knowledge and powerful tools on utilising connected and automated vehicles to help individuals become green drivers. Expected outcomes include ground-breaking models capable of holistically optimising traffic efficiency, energy consumption and emission, and innovative control strategies and policies that focus on energy efficiency and environment protection. This research will bring a wide range of substantial national benefits related to mobility, public health, environmental protection, and energy security.Read moreRead less
Novel Early Warning System for Hypoglycaemia. An innovative technique will be developed for early detection of low blood glucose level (hypoglycaemia), a life-threatening complication affecting millions of people with Type 1 diabetes worldwide. Real-time analysis of the effectiveness of skin impedance, ECG (in particular heart rate and QT interval), and EEG (alpha wave) will be combined with robust adaptive neural networks to provide a novel theoretical and practical basis for developing a non-i ....Novel Early Warning System for Hypoglycaemia. An innovative technique will be developed for early detection of low blood glucose level (hypoglycaemia), a life-threatening complication affecting millions of people with Type 1 diabetes worldwide. Real-time analysis of the effectiveness of skin impedance, ECG (in particular heart rate and QT interval), and EEG (alpha wave) will be combined with robust adaptive neural networks to provide a novel theoretical and practical basis for developing a non-invasive hypoglycaemia monitor. This device has the potential to save lives, improve quality of life for people with diabetes and their carers, and put Australia at the forefront in this $US5 billion pa industry.Read moreRead less
Special Research Initiatives - Grant ID: SR0354703
Funder
Australian Research Council
Funding Amount
$20,000.00
Summary
Robotics Research Network (RRN). The RRN brings together all the best robotics research groups in Australia with the aim of fostering and coordinating cooperative research. The RRN integrates researchers from fields including machine perception, sensing, control, artificial intelligence and mechatronics. The RRN includes representation from twelve Universities, CSIRO and involvement of four ARC Centres. Programmes are proposed to share research facilities, to support training of research personn ....Robotics Research Network (RRN). The RRN brings together all the best robotics research groups in Australia with the aim of fostering and coordinating cooperative research. The RRN integrates researchers from fields including machine perception, sensing, control, artificial intelligence and mechatronics. The RRN includes representation from twelve Universities, CSIRO and involvement of four ARC Centres. Programmes are proposed to share research facilities, to support training of research personnel and promote cooperation in international research programmes. Robotics is already having a substantial impact in industries such as mining and agriculture. Robotics will, in future, offer benefits in areas such as health care, building systems, and defence.Read moreRead less
Centre for Autonomous Systems. The aim of the Centre is to research and explore intelligence in autonomous systems. The Centre will undertake fundamental research organised around four themes; perception, control, learning and systems. These themes will interact through two research demonstrators focused around a built environment and a natural outdoor environment. The Centre brings together a critical mass of over 70 staff and research students from three leading research groups. The partners a ....Centre for Autonomous Systems. The aim of the Centre is to research and explore intelligence in autonomous systems. The Centre will undertake fundamental research organised around four themes; perception, control, learning and systems. These themes will interact through two research demonstrators focused around a built environment and a natural outdoor environment. The Centre brings together a critical mass of over 70 staff and research students from three leading research groups. The partners also have substantial track record in the commercial exploitation of autonomous systems. The proposed Centre offers the potential of growing into the world's leading autonomous systems research centre.Read moreRead less
Integrating human operators into large-scale sensor networks. Information awareness is critical in many applications of national importance: from bush fire fighting and defence to transportation and health care. These applications involve tasks in which timely delivery and fusion of heterogeneous information streams is of critical importance. They can all benefit from the use of robotic and embedded sensor networks considered in this project. Human operators, acting as users or supervisors, will ....Integrating human operators into large-scale sensor networks. Information awareness is critical in many applications of national importance: from bush fire fighting and defence to transportation and health care. These applications involve tasks in which timely delivery and fusion of heterogeneous information streams is of critical importance. They can all benefit from the use of robotic and embedded sensor networks considered in this project. Human operators, acting as users or supervisors, will remain at the centre of these systems. The technology and algorithms developed in this project will efficiently structure information exchange between humans and sensor networks. Establishing Australian leadership in this fast-evolving high-technology field will spur growth and job creation.Read moreRead less
Visual Simultaneous Localisation and Mapping in Deformable Environments. This project aims to investigate the problem of building a three-dimensional map of a deformable environment in real-time using images and at the same time localising the camera within the map. This project expects to generate new knowledge in the area of simultaneous localisation and mapping in deformable environments using visual sensors. Expected outcomes include in-depth understanding of the fundamental sensing requirem ....Visual Simultaneous Localisation and Mapping in Deformable Environments. This project aims to investigate the problem of building a three-dimensional map of a deformable environment in real-time using images and at the same time localising the camera within the map. This project expects to generate new knowledge in the area of simultaneous localisation and mapping in deformable environments using visual sensors. Expected outcomes include in-depth understanding of the fundamental sensing requirements for the problem to be solvable, the achievable accuracy, and efficient algorithms for achieving accurate three-dimensional reconstruction of deformable environments. The research outcomes from this project offer significant benefits to diverse areas such as minimally invasive robotic surgery.Read moreRead less
Robotic Perception with Unconventional Sensors . Autonomy in robotic systems currently relies on conventional sensors such as lasers and cameras. Alternative sensing modalities as in the case of active electromagnetic sensors are commonly used to detect flaws, cracks and assess infrastructure’s integrity, however, fundamental research questions preclude their use for robotic perception. This project will develop the theory and algorithms to enable perception tasks such as localisation, mapping a ....Robotic Perception with Unconventional Sensors . Autonomy in robotic systems currently relies on conventional sensors such as lasers and cameras. Alternative sensing modalities as in the case of active electromagnetic sensors are commonly used to detect flaws, cracks and assess infrastructure’s integrity, however, fundamental research questions preclude their use for robotic perception. This project will develop the theory and algorithms to enable perception tasks such as localisation, mapping and recognition with unconventional sensors. The outcomes of this research have the potential to improve the effectiveness of critical civil infrastructure maintenance technology through accurate and reliable inspections, and the reduced need for human intervention.Read moreRead less
Development of globally optimal solutions to simultaneous localisation and mapping for robot navigation. Building robots that can operate on their own is one of the potentially transformational technologies of this century. This project will develop algorithms that are well understood and robust to allow the deployment of robots in environments populated with people and in search and rescue operations where global positioning system is not available.
Visual methods for advanced automation of underwater manipulation. This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understand ....Visual methods for advanced automation of underwater manipulation. This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understanding to effectively plan the motion of vehicles and manipulators through larger and more complex workspaces, enabling semi-supervised and autonomous task execution. Our project will demonstrate these capabilities in real-world deployments relevant to industry and marine science.Read moreRead less
Vision Based Guidance, Navigation and Control of a Tail-Sitter Unmanned Aerial Vehicle. The development of a high precision visual guidance system for vertical takeoff and landing UAVs will significantly enhance their operational effectiveness by allowing them to land accurately on the back of small vessels or in confined clearings. Together with the extra navigation-system redundancy vis-a-vis GPS system failure and the ability to self-identify reasonable emergency landing sites, the proposed v ....Vision Based Guidance, Navigation and Control of a Tail-Sitter Unmanned Aerial Vehicle. The development of a high precision visual guidance system for vertical takeoff and landing UAVs will significantly enhance their operational effectiveness by allowing them to land accurately on the back of small vessels or in confined clearings. Together with the extra navigation-system redundancy vis-a-vis GPS system failure and the ability to self-identify reasonable emergency landing sites, the proposed vision-based system represents a significant capability improvement over what is currently available. It will thus enhance the ability of defence and civil-defence units to patrol Australian borders effectively and to react to threats. It will also have significant export potential to allied nations.Read moreRead less