Navigating under the forest canopy and in the urban jungle. This project aims to develop a framework for unmanned aerial vehicles (UAV), which optimally balances localisation, mapping and other objectives in order to solve sequential decision tasks under map and pose uncertainty. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining simultaneous localisation and mapping algorithms with partially observable markov decision processes. The proje ....Navigating under the forest canopy and in the urban jungle. This project aims to develop a framework for unmanned aerial vehicles (UAV), which optimally balances localisation, mapping and other objectives in order to solve sequential decision tasks under map and pose uncertainty. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining simultaneous localisation and mapping algorithms with partially observable markov decision processes. The project’s expected outcomes will enable UAVs to solve multiple objectives under map and pose uncertainty in GPS-denied environments. This will provide significant benefits, such as more responsive disaster management, bushfire monitoring and biosecurity, and improved environmental monitoring.Read moreRead less
When every second counts: Multi-drone navigation in GPS-denied environments. The aim of this research is to develop a framework for multiple Unmanned Aerial Vehicles (UAV), that balances information sharing, exploration, localization, mapping, and other planning objectives thus allowing a team of UAVs to navigate in complex environments in time critical situations. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localizatio ....When every second counts: Multi-drone navigation in GPS-denied environments. The aim of this research is to develop a framework for multiple Unmanned Aerial Vehicles (UAV), that balances information sharing, exploration, localization, mapping, and other planning objectives thus allowing a team of UAVs to navigate in complex environments in time critical situations. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localization and Mapping (SLAM) algorithms with Partially Observable Markov Decision Processes (POMDP) and Deep Reinforcement learning. This should provide significant benefits, such as more responsive search and rescue inside collapsed buildings or underground mines, as well as fast target detection and mapping under the tree canopy. Read moreRead less
From shape to function: how structured RNA defines insect flaviviruses. The goal of this project is to obtain an understanding of how insect-specific flaviviruses (ISFs) utilise viral noncoding RNAs to enable their replication in mosquitoes. These viruses only replicate in mosquitoes, and not in humans or animals. They can be employed as the biocontrol agents for mosquito-borne diseases as they make mosquitoes incapable of disease transmission. However, it is currently unknown how exactly insect ....From shape to function: how structured RNA defines insect flaviviruses. The goal of this project is to obtain an understanding of how insect-specific flaviviruses (ISFs) utilise viral noncoding RNAs to enable their replication in mosquitoes. These viruses only replicate in mosquitoes, and not in humans or animals. They can be employed as the biocontrol agents for mosquito-borne diseases as they make mosquitoes incapable of disease transmission. However, it is currently unknown how exactly insect-specific flaviviruses affect mosquitoes and this information is vital for informed design of ISF-based interventions. The project will generate new knowledge on functions of noncoding RNAs in ISFs that are hypothesised to have immunomodulatory role in mosquitoes. It will also train students and ECRs.Read moreRead less
Subcortical control of human reaching? This project will test a radical new hypothesis about how the human brain generates visually guided behaviour. Conventional thinking assumes that visuomotor control of limb movements occurs exclusively within the cerebral cortex. However, the project team’s recent observations of extremely rapid visually guided muscle activity strongly imply that the human brain controls reaching movements via more primitive midbrain and brainstem structures. The project’s ....Subcortical control of human reaching? This project will test a radical new hypothesis about how the human brain generates visually guided behaviour. Conventional thinking assumes that visuomotor control of limb movements occurs exclusively within the cerebral cortex. However, the project team’s recent observations of extremely rapid visually guided muscle activity strongly imply that the human brain controls reaching movements via more primitive midbrain and brainstem structures. The project’s hypotheses challenge long-standing ideas about the functional organisation of the human brain and may have wide-ranging implications for the design of human-machine interfaces as well as training protocols in rehabilitation, industry, and sport.Read moreRead less
How do past actions and rewards bias goal directed movement? This project aims to identify how different aspects of our past experience affect the accuracy of movements, and study the underlying brain mechanisms. This project will use timing methods and brain recordings to test how the history of movements we have executed in the past, and the rewards associated with those movements, interact to affect subsequent movement execution. The project should advance basic understanding of how the human ....How do past actions and rewards bias goal directed movement? This project aims to identify how different aspects of our past experience affect the accuracy of movements, and study the underlying brain mechanisms. This project will use timing methods and brain recordings to test how the history of movements we have executed in the past, and the rewards associated with those movements, interact to affect subsequent movement execution. The project should advance basic understanding of how the human brain controls movement, and provide theoretical foundations needed to improve the design of human-machine interfaces, and training approaches in industry, rehabilitation and sport.Read moreRead less
Addressing significant product safety knowledge gaps for older Australians . This project addresses significant gaps in contemporary knowledge of consumer product safety risks for older persons, with 25 years since the last Australian product safety research found older persons are at high risk of product-related injury/death. Products have evolved substantially and aged care models have changed in that time. This project generates contemporary knowledge of unsafe products causing injuries/death ....Addressing significant product safety knowledge gaps for older Australians . This project addresses significant gaps in contemporary knowledge of consumer product safety risks for older persons, with 25 years since the last Australian product safety research found older persons are at high risk of product-related injury/death. Products have evolved substantially and aged care models have changed in that time. This project generates contemporary knowledge of unsafe products causing injuries/deaths, risk factors/behaviours, and human rights issues. Outcomes benefiting the Australian community are improved prediction/characterisation of product safety issues for older Australians informing safer product design and use, targetted regulatory responses, ageing-in-place strategies, and creating safer home environments.Read moreRead less
Optimisation of piezoelectric metamaterials: Towards robotic stress sensors. This project aims to design new piezoelectric material microstructures that can enhance the measurement of complex local stress states within robotic limbs. The project expects to generate new knowledge of the achievable properties of multi-poled piezoelectric materials and develop computational tools for the analysis and structural optimisation of such materials. The designed microstructures may revolutionise piezoelec ....Optimisation of piezoelectric metamaterials: Towards robotic stress sensors. This project aims to design new piezoelectric material microstructures that can enhance the measurement of complex local stress states within robotic limbs. The project expects to generate new knowledge of the achievable properties of multi-poled piezoelectric materials and develop computational tools for the analysis and structural optimisation of such materials. The designed microstructures may revolutionise piezoelectric sensor technology. Expected outcomes include manufactured proof-of-concept sensors that enable measurement of local stress fields. This should provide significant benefits, such as improved future robot capability and reliability, and research training for next-generation Australian computational mathematicians. Read moreRead less
Efficient strategies for visually guided flight: from insects to drones. Flying in real environments, that are densely cluttered with obstacles, is a major challenge limiting the proliferation of aerial robotic technology yet flying insects such as honeybees accomplish this task with ease. This project will seek to uncover the salient vision-based flight-control strategies implemented by insects to deal with clutter. These will be used to develop sensory and information processing frameworks for ....Efficient strategies for visually guided flight: from insects to drones. Flying in real environments, that are densely cluttered with obstacles, is a major challenge limiting the proliferation of aerial robotic technology yet flying insects such as honeybees accomplish this task with ease. This project will seek to uncover the salient vision-based flight-control strategies implemented by insects to deal with clutter. These will be used to develop sensory and information processing frameworks for implementation in miniature robotic systems which will allow them to navigate autonomously in complex environments even when GPS positioning is denied. Such capabilities will expand the operational domain and potential applications for small autonomous vehicles while improving our knowledge of insect locomotion.Read moreRead less
Viral and host RNA methylation in mosquitoes. Mosquitoes transmit a variety of viruses to humans and animals through blood feeding. This project aims to investigate one of the most common modifications of RNA molecules, known as N6-methyladenosine (m6A), in an important mosquito vector, Aedes aegypti, and its alterations upon infection with pathogenic as well as mosquito-specific viruses. In addition, m6A modification of viral genomic RNA and its importance in virus replication will be investiga ....Viral and host RNA methylation in mosquitoes. Mosquitoes transmit a variety of viruses to humans and animals through blood feeding. This project aims to investigate one of the most common modifications of RNA molecules, known as N6-methyladenosine (m6A), in an important mosquito vector, Aedes aegypti, and its alterations upon infection with pathogenic as well as mosquito-specific viruses. In addition, m6A modification of viral genomic RNA and its importance in virus replication will be investigated. Expected outcomes of this project include fundamental understanding of RNA methylation in mosquitoes and their role in mosquito biology and virus replication.Read moreRead less
Single model irregular-region retrieval for rapid plant disease detection. This project aims to study the major technical barrier in plant disease image retrieval to build a pervasive rapid plant disease identification system. The techniques are designed to function on one or very few sample images, thus enabling on-line in field disease identification linked to authoritative plant disease image libraries. The success of this project will not only make significant contributions to fundamental th ....Single model irregular-region retrieval for rapid plant disease detection. This project aims to study the major technical barrier in plant disease image retrieval to build a pervasive rapid plant disease identification system. The techniques are designed to function on one or very few sample images, thus enabling on-line in field disease identification linked to authoritative plant disease image libraries. The success of this project will not only make significant contributions to fundamental theory in single model image retrieval, but also create a revolution in plant disease early detection for effective and efficient crop protection.Read moreRead less