Completed Plants, Animals & Ecology Psychology & Behaviour
Neuromechanics of Insect Vision during Aerial Interactions with Applications in Visually Guided Systems
Summary
Original abstract (not yet simplified)This project investigates how biological vision operates under the fastest and most challenging motion condition: flight. Specifically, we look beyond gaze stabilization and focus on directed gaze control such as object tracking. Flying insects are ideal model for studying vision in flight due to its relatively simple nervous system and the fixed optics of the compound eyes. Insect vision has...
View original technical description
This project investigates how biological vision operates under the fastest and most challenging motion condition: flight. Specifically, we look beyond gaze stabilization and focus on directed gaze control such as object tracking. Flying insects are ideal model for studying vision in flight due to its relatively simple nervous system and the fixed optics of the compound eyes. Insect vision has elucidated fundamental circuitries of vision via psychophysics, electrophysiology, computational modelling, and connectomics. However, we have limited knowledge on how insects use vision in free flight and what visual signals influence motor control during aerial interactions. This study aims to reveal how flying insects direct their gaze in-flight to extract target information for guidance and to facilitate the execution of complex flight manoeuvres. To achieve this objective, we will advance three emerging techniques: 1) high-precision insect scale motion capture; 2) ultralight wireless neural telemetry; 3) virtual reality for freely flying insects. I was involved in developing the first two methods and they both still require significant development to suit this project. The third budded from a successful ERC project, which enabled virtual reality experiments with freely behaving animals, and also requires additional breakthrough in order to accommodate this project. By advancing these techniques together, we can fully control the visual input of a freely flying insect and simultaneously record relevant visual signals. While modern image sensors and image processing can sometimes surpass biological vision, machine vision systems today still cannot utilize some tactical benefits of directed gaze control. Indeed, learning how to look is one of the best lessons a visually guided system can take from biology. This research informs the control of autonomous systems such as self-driving cars, unmanned aerial taxi, and robotic courier which will revolutionize the upcoming era.
Related Research
Grants with similar aims, by meaning.
New insight into functional eye evolution: seeing the world through moving photoreceptors.
Vision-based Guidance and Control in Birds, with Applications to Autonomous Unmanned Aircraft
Visual attention in avian collision-avoidance and homing: what visual features do birds attend to, and why?
The role of vision in goal-oriented flight behaviours in birds
Fly-by-feel: the neural representation of aeroelasticity
Original classification
H2020Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research. Is something wrong? Let us know