Visual guidance of flight in birds. Birds flying rapidly amidst the branches of trees engage continually in a three-dimensional slalom. This project will study birds flying through tunnels and gaps, to understand how they use their eyes and wings to achieve this agility. The results could suggest better designs for unmanned aerial vehicles operating in dense urban environments.
Bio-inspired camouflage to prevent shark attacks on surfers. Bio-inspired camouflage to prevent shark attacks on surfers. This project aims to develop a new shark deterrent technology to protect surfers and paddlers. Shark attacks are physically and emotionally devastating for the victims, and make the community disproportionately afraid. Surfers are at most risk of attack, but current surfboard-mounted deterrents are ineffective and not widely used. This project will build on the recent discove ....Bio-inspired camouflage to prevent shark attacks on surfers. Bio-inspired camouflage to prevent shark attacks on surfers. This project aims to develop a new shark deterrent technology to protect surfers and paddlers. Shark attacks are physically and emotionally devastating for the victims, and make the community disproportionately afraid. Surfers are at most risk of attack, but current surfboard-mounted deterrents are ineffective and not widely used. This project will build on the recent discovery that white sharks do not attack counter-illuminated (light emitting) seal-shaped decoys, and use new information about shark vision to understand why this ‘camouflage’ is so successful. This will also help to protect threatened shark species by reducing reliance on culling programs to keep people safe in the water.Read moreRead less
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.
Closing the loop between salience and brain activity. This project aims to understand how animals exposed to an abundance of highly complex information decide what to attend to, that is, how they determine visual saliency. The project will approach this question by systematically tracking visual decision-making in the smallest animal brains, in closed-loop virtual reality environment. This approach will uncover basic working principles applicable to any system that needs to pay attention in a vi ....Closing the loop between salience and brain activity. This project aims to understand how animals exposed to an abundance of highly complex information decide what to attend to, that is, how they determine visual saliency. The project will approach this question by systematically tracking visual decision-making in the smallest animal brains, in closed-loop virtual reality environment. This approach will uncover basic working principles applicable to any system that needs to pay attention in a visually cluttered world, from insects to humans or autonomous vehicles.Read moreRead less