Discovering how termites use vibrations to thrive in a predators' world. Our recent research revealed termites use vibrations to avoid predators/competitors for survival. However, the enabling mechanisms of this amazing ability remain unknown. The project aims at unlocking the secrets of these mechanisms by relating the mechanical properties of termite, legs, antennae and sensing organs (measured with advanced micro measurement techniques) to vibration signatures of ants and termites (extracted ....Discovering how termites use vibrations to thrive in a predators' world. Our recent research revealed termites use vibrations to avoid predators/competitors for survival. However, the enabling mechanisms of this amazing ability remain unknown. The project aims at unlocking the secrets of these mechanisms by relating the mechanical properties of termite, legs, antennae and sensing organs (measured with advanced micro measurement techniques) to vibration signatures of ants and termites (extracted using innovative signal processing techniques and nonlinear dynamics). We will develop novel bio-dynamics models that incorporate machine learning. We will test the models’ ability to manipulate termites foraging behaviour, with the ultimate objective of developing chemical-free, vibration-based pest control devices. Read moreRead less
The secret of tiny hand movements to feel and manipulate objects. This study aims to reveal some of the fundamental sensory mechanisms underlying the uniquely human ability to manipulate objects and use tools. Signals from touch receptors are crucial for controlling grip forces so that delicate objects are held without slipping, or being crushed by excessive force. Yet we know little about how such sensory information is obtained and how it is used for the motor control. By analysing hand moveme ....The secret of tiny hand movements to feel and manipulate objects. This study aims to reveal some of the fundamental sensory mechanisms underlying the uniquely human ability to manipulate objects and use tools. Signals from touch receptors are crucial for controlling grip forces so that delicate objects are held without slipping, or being crushed by excessive force. Yet we know little about how such sensory information is obtained and how it is used for the motor control. By analysing hand movements during object manipulation and recording sensory signals from single human nerve fibres we will investigate how certain types of movement shape richness of available sensory information. This knowledge will facilitate the development of next generation sensory-controlled prosthetics and robotic manipulators.Read moreRead less
Unlocking the mechanisms of vibro-acoustic communication in termites . Our understanding of how termites use microvibrations to communicate is limited, as the generation, transmission and detection of these complex vibrations in substrates at the submillimetre scale are unknown. We aim to develop a fully validated vibro-acoustic termite communication model which will be used in Swårmalätørs to demonstrate their ability to synchronise and mimic collective behaviour. This will be achieved by combi ....Unlocking the mechanisms of vibro-acoustic communication in termites . Our understanding of how termites use microvibrations to communicate is limited, as the generation, transmission and detection of these complex vibrations in substrates at the submillimetre scale are unknown. We aim to develop a fully validated vibro-acoustic termite communication model which will be used in Swårmalätørs to demonstrate their ability to synchronise and mimic collective behaviour. This will be achieved by combining novel acoustic levitation, microsystem analyses and electrophysiology to determine physical properties of termite appendages, sensory and behavioural thresholds; and by considering wave transmission characteristics in wood, friction-adhesion at the termite feet, mandible cutting and soldier alarm drumming.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
Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimenta ....Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimental validation on a surgical robot and a bipedal walking robot. This project will provide significant benefits by dramatically increasing the range of applications in which the power of machine learning can be safely applied to advance the capabilities and uptake of robotics.Read moreRead less
Distributed Estimation, Control and Optimisation for Networked Systems. This project aims to study large scale networked systems in major infrastructures including power networks, transportation networks, internet of things, and other cyber-physical systems. This project is expected to develop new methodology and algorithms for distributed estimation, control and optimisation of these systems. Distributed solutions are essential because traditional techniques which were designed for small system ....Distributed Estimation, Control and Optimisation for Networked Systems. This project aims to study large scale networked systems in major infrastructures including power networks, transportation networks, internet of things, and other cyber-physical systems. This project is expected to develop new methodology and algorithms for distributed estimation, control and optimisation of these systems. Distributed solutions are essential because traditional techniques which were designed for small systems are not suitable for efficient operations of large scale systems. Application examples include distributed state estimation for power networks, control of multi-agent systems and optimal scheduling of transportation networks. The outcomes of this project are vital to the understanding and management of these systems. Read moreRead less
Understanding when biocontrol and enemy release affect plant populations. This project aims to determine when introduced species escape from their natural enemies, and when biocontrol efforts succeed. Enemy release and biocontrol are key to our understanding and management of invasions. However there has never been a broad quantitative assessment of the circumstances under which biocontrol and enemy release affect introduced populations. This project will use a combination of meta-analyses and i ....Understanding when biocontrol and enemy release affect plant populations. This project aims to determine when introduced species escape from their natural enemies, and when biocontrol efforts succeed. Enemy release and biocontrol are key to our understanding and management of invasions. However there has never been a broad quantitative assessment of the circumstances under which biocontrol and enemy release affect introduced populations. This project will use a combination of meta-analyses and international field studies to address this knowledge gap. Expected outcomes include a better understanding of the factors that facilitate biological invasions, and improved success of biocontrol agents.Read moreRead less
Using assisted evolution to win the war against invasive species. Invasive species disrupt ecosystem functioning, causing severe economic costs. This project investigates the use of native insects, alongside assisted evolution, as a novel approach to control invasive plants. Combining experimental and observational data we aim to accelerate adaptation already underway and entrained by selection from interactions between invasive plants and Australian insects. These data will not only address unr ....Using assisted evolution to win the war against invasive species. Invasive species disrupt ecosystem functioning, causing severe economic costs. This project investigates the use of native insects, alongside assisted evolution, as a novel approach to control invasive plants. Combining experimental and observational data we aim to accelerate adaptation already underway and entrained by selection from interactions between invasive plants and Australian insects. These data will not only address unresolved questions in evolutionary biology but will also provide knowledge on the role native insects can play in the biocontrol of invasive weeds. This will be crucial for conservation managers and agricultural practitioners dealing with plant movement and/or crop development under ongoing environmental change.Read moreRead less
Electromagnetically Interconnected Suspension for Electrified Vehicles . This project aims to develop an innovative, electromagnetically interconnected suspension system to enhance vehicle ride comfort, stability and handling dynamics, and thus safety of electrified vehicles. Specifically, the project integrates a set of novel electromagnetic shock absorbers to form an effective electrical network so as to realise an electromagnetically interconnected suspension system. Advanced integrated con ....Electromagnetically Interconnected Suspension for Electrified Vehicles . This project aims to develop an innovative, electromagnetically interconnected suspension system to enhance vehicle ride comfort, stability and handling dynamics, and thus safety of electrified vehicles. Specifically, the project integrates a set of novel electromagnetic shock absorbers to form an effective electrical network so as to realise an electromagnetically interconnected suspension system. Advanced integrated control techniques can then be applied to improve vehicle performance and dynamics in three planes. The project will assist the rapid development of transportation electrification. The outcomes from this project will lead to tangible improvements in vehicle comfort and safety.Read moreRead less
Accelerated Finite-time Learning and Control in Cyber-Physical Systems. Efficient learning and control in cyber-physical systems such as smart grids and robotic systems are very important for achieving economic and social benefits. This project aims to establish a breakthrough accelerated finite-time dynamics theory and technology to assist in delivering efficient learning and control. Expected outcomes include new distributed accelerated finite-time dynamics based learning and control algorithm ....Accelerated Finite-time Learning and Control in Cyber-Physical Systems. Efficient learning and control in cyber-physical systems such as smart grids and robotic systems are very important for achieving economic and social benefits. This project aims to establish a breakthrough accelerated finite-time dynamics theory and technology to assist in delivering efficient learning and control. Expected outcomes include new distributed accelerated finite-time dynamics based learning and control algorithms and tools for optimal operations in cyber-physical systems. This should provide significant benefits including a practical technology for industry applications in smart grids and robotic systems, and training of the next generation engineers in this technology for Australia.Read moreRead less