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
Active Visual Navigation in an Unexplored Environment. This project will develop a new method for robotic navigation in which goals can be specified at a much higher level of abstraction than has previously been possible. This will be achieved using deep learning to make informed predictions about a scene layout, and navigating as an active observer in which the predictions informs actions. The outcome will be robotic agents capable of effective and efficient navigation and operation in previous ....Active Visual Navigation in an Unexplored Environment. This project will develop a new method for robotic navigation in which goals can be specified at a much higher level of abstraction than has previously been possible. This will be achieved using deep learning to make informed predictions about a scene layout, and navigating as an active observer in which the predictions informs actions. The outcome will be robotic agents capable of effective and efficient navigation and operation in previously unseen environments, and the ability to control such agents with more human-like instructions. Such capabilities are desirable, and in some cases essential, for autonomous robots in a variety of important application areas including automated warehousing and high-level control of autonomous vehicles. Read moreRead less
Toll Like Receptor signalling as a mediator of sex differences in pain, opioid and alcohol action. Brain immunology will be examined in this project to see if the signalling of a receptor called Toll Like Receptor 4 can explain sex differences in pain, and the action of pain killers and alcohol. These findings will have significant implications on the understanding of male and female brains, and will assist in the design of new drugs to treat brain and spinal cord diseases.
Nanoengineering of Biomaterial Surfaces to Tailor Innate Immune Responses. The overarching aim of this project is to provide a mechanistic understanding of how surface nanotopography affects inflammatory responses. Recently, we showed that surface nanotopography induced conformational changes in adsorbed proteins can activate or deactivate immune cells. These exciting findings are important because they show that it may be possible to engineer the nanotopography of a biomedical device surface in ....Nanoengineering of Biomaterial Surfaces to Tailor Innate Immune Responses. The overarching aim of this project is to provide a mechanistic understanding of how surface nanotopography affects inflammatory responses. Recently, we showed that surface nanotopography induced conformational changes in adsorbed proteins can activate or deactivate immune cells. These exciting findings are important because they show that it may be possible to engineer the nanotopography of a biomedical device surface in a manner which leads to a desired and predictable level of inflammation. The outcomes of the project will create new fundamental knowledge that in the future can instruct the development of the next generation of biomaterials capable of controlling and directing the body’s inflammatory responses.Read moreRead less
Surface Engineered Biomaterials to Control Inflammation. The overarching aim of this project is to provide a mechanistic understanding of how surface nanotopography affects inflammatory responses. Experimental evidence demonstrates that engineered surface nanotopography in combination with surface chemistry downregulates the expression of proinflammatory cytokines from primary macrophages. The significance of these findings is that it may be possible to engineer the nanotopography of a biomedica ....Surface Engineered Biomaterials to Control Inflammation. The overarching aim of this project is to provide a mechanistic understanding of how surface nanotopography affects inflammatory responses. Experimental evidence demonstrates that engineered surface nanotopography in combination with surface chemistry downregulates the expression of proinflammatory cytokines from primary macrophages. The significance of these findings is that it may be possible to engineer the nanotopography of a biomedical device surface in a manner which leads to a desired and predictable level of inflammation and subsequent foreign body reaction (FBR) medical implants and tissue engineering constructs.Read moreRead less