Biologically-inspired detection, pursuit and interception of moving objects by unmanned aircraft systems. Although it is well known that aggressive honeybees are very effective at detecting, pursuing and intercepting moving targets, this behaviour has never been studied quantitatively. This project will use high-speed video cinematography to investigate this behaviour, to develop visual algorithms for the detection of moving targets, and to create dynamical models of the mechanisms that control ....Biologically-inspired detection, pursuit and interception of moving objects by unmanned aircraft systems. Although it is well known that aggressive honeybees are very effective at detecting, pursuing and intercepting moving targets, this behaviour has never been studied quantitatively. This project will use high-speed video cinematography to investigate this behaviour, to develop visual algorithms for the detection of moving targets, and to create dynamical models of the mechanisms that control pursuit. The resulting algorithms will be incorporated into unmanned aerial vehicles for detecting, monitoring and tracking other objects in the sky, and their performance will be evaluated. The results will provide a better understanding of the biological basis of pursuit behaviour, as well as lead to novel technologies for aerial surveillance and safety.Read moreRead less
Strategies for mid-air collision avoidance in aircraft: lessons from bird flight. Birds seldom collide with each other and other objects, despite the high speeds at which they fly in complex environments. This project will examine how birds sense and avoid impending collisions, and will use these results to design novel strategies for the detection and avoidance of aircraft mid-air collisions.
Comprehending and modelling the workings of the animal brain. Truly understanding how the brain operates is a grand challenge of 21st century neuroscience. Progress toward this goal can be made through studying small-brained animals, like the honey bee. This project aims to use microscopy and pharmacology to analyse the neural mechanisms by which bees learn and classify complex things. This will enable the construction of a computational model of decision making in the bee brain. Analysing this ....Comprehending and modelling the workings of the animal brain. Truly understanding how the brain operates is a grand challenge of 21st century neuroscience. Progress toward this goal can be made through studying small-brained animals, like the honey bee. This project aims to use microscopy and pharmacology to analyse the neural mechanisms by which bees learn and classify complex things. This will enable the construction of a computational model of decision making in the bee brain. Analysing this model will test what is understood about the operation of the animal brain, and what simulates it. This project aims to reveal how neural circuits make complex decisions; establish key principles and foundational studies for comprehending larger more complex brains, and yield new approaches to machine learning.Read moreRead less
The danger within: assessing the threats to an endangered finch from genetic incompatibility, limited dispersal and effective population size. The Gouldian finch has declined dramatically over the past half century and remains one of Australia's most threatened birds. This project will use some cutting edge genetic techniques to understand some of the processes that undermine the species' recovery and our ability to monitor current populations.
Discovery Early Career Researcher Award - Grant ID: DE190101513
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Ant-inspired rules for self-assembly in swarm robotics and complex systems. This project aims to investigate how ants use self-assembly to build bridges and chains, joining their bodies using simple rules at the individual-level to build complex structures at the group-level. The long-standing conceptual gap between these two organisational levels will be addressed using innovative animal behaviour experiments, computer modelling and embodied testing of theory in a robot swarm. The expected outc ....Ant-inspired rules for self-assembly in swarm robotics and complex systems. This project aims to investigate how ants use self-assembly to build bridges and chains, joining their bodies using simple rules at the individual-level to build complex structures at the group-level. The long-standing conceptual gap between these two organisational levels will be addressed using innovative animal behaviour experiments, computer modelling and embodied testing of theory in a robot swarm. The expected outcomes of the project include new models for understanding self-assembly in complex systems and new control algorithms for robot swarms. The project should provide significant benefits such as programming to allow robot swarms to autonomously self-assemble useful structures that enhance their operational capabilities.Read moreRead less
Evolution of intelligence in small brains: how to navigate the messy natural outdoors smartly. This project unravels how small-brained desert ants navigate expertly using simple and coarse-grade visual cues, focusing on 1) how they use skylines, where the tops of terrestrial objects meet the sky, and 2) how they search efficiently for goals. The outcomes will be invaluable for designing robots that can navigate in the messy natural outdoors.
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
Impacts of locust control pesticides on arid-zone fauna. Impacts of locust control pesticides on arid-zone fauna. This project aims to understand how different animals encounter pesticide in the landscape through quantifying residue deposition in arid grasslands and investigating how pesticides used to control locust plagues affect fauna. This project will investigate fenitrothion and fipronil, the main pesticides used in Australia for locust control. It will develop a deposition model for aeria ....Impacts of locust control pesticides on arid-zone fauna. Impacts of locust control pesticides on arid-zone fauna. This project aims to understand how different animals encounter pesticide in the landscape through quantifying residue deposition in arid grasslands and investigating how pesticides used to control locust plagues affect fauna. This project will investigate fenitrothion and fipronil, the main pesticides used in Australia for locust control. It will develop a deposition model for aerial pesticide spraying, determine the short-term effect of sprayed pesticides on the behaviour and condition of free-ranging target fauna that use the environment differently, and quantify the relative importance of dietary and non-dietary exposure routes to gauge the importance of animal behaviour on pesticide exposure. Anticipated outcomes are improved baseline assessments for locusticides.Read moreRead less
From individual interactions to global patterns: understanding the basis of collective behaviour. Some of the most incredible sights in nature happen when animals form into groups, such as shoals or flocks. This study examines the phenomenon of collective animal behaviour to understand how simple interactions between group members scale to produce these behavioural spectacles.
Diet, gut microbiota and the evolution of lifespan and reproduction. Nutrition has pronounced effects on lifespan and reproduction across animal species, yet how these effects are mediated is poorly understood. This project aims to determine if the gut microbiota regulates these nutritional effects. This project expects to deliver key insights on the complex interplay between nutrition and the gut microbiota, as well as the potential to manipulate this relationship to extend lifespan and alter r ....Diet, gut microbiota and the evolution of lifespan and reproduction. Nutrition has pronounced effects on lifespan and reproduction across animal species, yet how these effects are mediated is poorly understood. This project aims to determine if the gut microbiota regulates these nutritional effects. This project expects to deliver key insights on the complex interplay between nutrition and the gut microbiota, as well as the potential to manipulate this relationship to extend lifespan and alter reproduction. The expected outcomes of this project include generating new knowledge, building multidisciplinary collaborations and the development of novel experimental approaches. This should provide significant benefits, fore-most in bolstering Australia’s high international standing in evolutionary research. Read moreRead less