Learning Robotic Navigation and Interaction from Object-based Semantic Maps. Our project aims to develop new learning algorithms that enable robots to perform high-complexity tasks that are currently impossible. Compared to existing methods that rely on low-level sensor data, we aim to achieve this by learning from a high-level graph representation of the environment that captures semantics, affordances, and geometry. The outcome would be robots capable of using human instructions to efficiently ....Learning Robotic Navigation and Interaction from Object-based Semantic Maps. Our project aims to develop new learning algorithms that enable robots to perform high-complexity tasks that are currently impossible. Compared to existing methods that rely on low-level sensor data, we aim to achieve this by learning from a high-level graph representation of the environment that captures semantics, affordances, and geometry. The outcome would be robots capable of using human instructions to efficiently learn complex interaction and navigation behaviours that transfer to unseen environments. Our research should benefit new applications in domains of economic and societal importance that are currently too complex, unsafe, and uncertain for robot assistants, such as aged care, advanced manufacturing and domestic robotics.Read moreRead less
Co-design and dynamic mission optimisation of hypersonic flight vehicles. This project aims to deliver fundamental knowledge by integrating the modelling and control with the design of next generation hypersonic platforms. In an era where Australia's national security reliance on geographic isolation and support from allied forces are being challenged, the research outcomes of this project will play an important role in understanding the capabilities of hypersonic systems. The project will also ....Co-design and dynamic mission optimisation of hypersonic flight vehicles. This project aims to deliver fundamental knowledge by integrating the modelling and control with the design of next generation hypersonic platforms. In an era where Australia's national security reliance on geographic isolation and support from allied forces are being challenged, the research outcomes of this project will play an important role in understanding the capabilities of hypersonic systems. The project will also have significant spillover benefits into other complex system domains, where computational tools can be used to aid in design leading to high embedded-IP products for Australian industry. Furthermore, the proposal encompasses a strong research training aspect, with graduates exposed to leading edge industry and academia.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
Network-wide sewer odour and corrosion management by model predictive control. Network-wide sewer odour and corrosion management by model predictive control. This project aims to develop and demonstrate, through real-life field studies, a model predictive control approach that achieves cost-effective network-wide mitigation of hydrogen sulphide. The lack of suitable methodologies to support the control designs of chemical dosing units and sewage pumping stations makes network-wide sewer corrosio ....Network-wide sewer odour and corrosion management by model predictive control. Network-wide sewer odour and corrosion management by model predictive control. This project aims to develop and demonstrate, through real-life field studies, a model predictive control approach that achieves cost-effective network-wide mitigation of hydrogen sulphide. The lack of suitable methodologies to support the control designs of chemical dosing units and sewage pumping stations makes network-wide sewer corrosion and odour management a problem. Innovative control methodology will simultaneously manipulate chemical dosing unit(s) and selected sewage pumping station(s), based on real-time prediction of sewage flows and characteristics both at sources and across the network, to ensure optimal delivery of dosed chemicals to mitigate hydrogen sulphide.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100066
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
Collaborative embodied movement design network. This project aims to create a national collaborative network of arts/technology researchers to study the creative potential of movement-based human computer interaction systems. Movement-based technologies such as augmented and virtual reality, haptic and robotic interfaces form the cutting edge of human computer interaction development. This project will develop new infrastructure to enable researchers to work together to improve these systems fro ....Collaborative embodied movement design network. This project aims to create a national collaborative network of arts/technology researchers to study the creative potential of movement-based human computer interaction systems. Movement-based technologies such as augmented and virtual reality, haptic and robotic interfaces form the cutting edge of human computer interaction development. This project will develop new infrastructure to enable researchers to work together to improve these systems from an embodied perspective. This is expected to benefit industry, commerce, education, health care and the arts.Read moreRead less
Strengthening Relationships for Young People in Residential Care. Young people in residential care face major challenges in forming positive relationships, many having experienced adults as a source of threat rather than safety. This project aims to investigate practices within therapeutic residential care that enable or limit young people’s identity formation, positive social connections, safety and wellbeing. This research will generate nuanced knowledge informing interpersonal and institution ....Strengthening Relationships for Young People in Residential Care. Young people in residential care face major challenges in forming positive relationships, many having experienced adults as a source of threat rather than safety. This project aims to investigate practices within therapeutic residential care that enable or limit young people’s identity formation, positive social connections, safety and wellbeing. This research will generate nuanced knowledge informing interpersonal and institutional change. Expected outcomes include improved approaches to therapeutic care and to methods for enabling the participation of young people in care in matters that may change their life trajectory on exiting care. Expected benefits include more responsive policies and frameworks for practice.Read moreRead less
The nature, extent and effect of infant removal by child protection. This project aims to provide new knowledge about the nature, extent and effect of removals of babies from their parents in Australia. Removal is the highest level of intervention by the child protection system, and one which some mothers experienced on multiple occasions. Little is known, however, about its incidence and effects, nor whether there are over-represented groups (e.g. Aboriginal mothers and babies) who would respon ....The nature, extent and effect of infant removal by child protection. This project aims to provide new knowledge about the nature, extent and effect of removals of babies from their parents in Australia. Removal is the highest level of intervention by the child protection system, and one which some mothers experienced on multiple occasions. Little is known, however, about its incidence and effects, nor whether there are over-represented groups (e.g. Aboriginal mothers and babies) who would respond to targeted interventions. This project aims to identify appropriate early intervention and prevention strategies, preventing the need for babies to spend their whole childhood in care at great financial and societal cost.Read moreRead less
Developing a national rural volunteering roadmap. This project aims to investigate the challenges affecting rural volunteering in Australia. Conducting a national analysis of volunteering demand and supply, this project expects to generate new interdisciplinary knowledge of the structural, demographic, organisational and personal factors affecting the sustainability of rural volunteering. Expected outcomes of this project include a world-first index of volunteering vulnerabilities and a spatial ....Developing a national rural volunteering roadmap. This project aims to investigate the challenges affecting rural volunteering in Australia. Conducting a national analysis of volunteering demand and supply, this project expects to generate new interdisciplinary knowledge of the structural, demographic, organisational and personal factors affecting the sustainability of rural volunteering. Expected outcomes of this project include a world-first index of volunteering vulnerabilities and a spatial map of volunteering unevenness, leading to the development of an evidence-based National Rural Volunteering Roadmap (2025-2035), which will guide our volunteering peak body partners, governments and rural communities to plan for and support rural volunteering over the longer-term.Read moreRead less
ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies th ....ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies that will allow robots to see as we do, and overcome the last barrier to the ubiquitous deployment of robots into society for the benefit of all.Read moreRead less
Borderline Personality as Social Phenomena. Mental disorders attract social stigma and those diagnosed are widely misunderstood. This project aims to collect and analyse accounts of people living with Borderline Personality Disorder (BPD) - mainly women - and perspectives of social support practitioners. The intended outcome is to provide a sophisticated understanding of BPD as a social phenomenon, develop sociological evidence based on lived experiences and generate Australian digital resources ....Borderline Personality as Social Phenomena. Mental disorders attract social stigma and those diagnosed are widely misunderstood. This project aims to collect and analyse accounts of people living with Borderline Personality Disorder (BPD) - mainly women - and perspectives of social support practitioners. The intended outcome is to provide a sophisticated understanding of BPD as a social phenomenon, develop sociological evidence based on lived experiences and generate Australian digital resources including narratives of BPD, creative outputs and practitioner perspectives. The anticipated goal of this project is to inform policy and community responses addressing stigma and marginalisation, and the improvement of social support for those affected by BPD.Read moreRead less