Sabo, C., Cope, A., Gurney, K. et al. (2 more authors) (2016) Bio-Inspired Visual Navigation for a Quadcopter using Optic Flow. In: AIAA Infotech @ Aerospace, AIAA SciTech. AIAA Infotech @ Aerospace, 04-08 Jan 2016, San Diego, CA. American Institute of Aeronautics and Astronautics ISBN 978-1-62410-388-9
Abstract
Small Unmanned Air Vehicles (UAVs) have become increasingly used in many fields to keep up with demands for technological growth and due to their unique ability to provide an “eye-in-the-sky”. However, traditional guidance systems are not always suitable for a transition to smaller UAVs. Honeybee navigation has long been proposed as a basis for developing navigation for robotics as they are known to solve complex tasks efficiently and robustly. An approach for bio-inspired navigation using optic flow is presented here based on honeybee reactive flight control. This approach is tested and verified in the benchmark hallway navigation problem. It is shown that the control approach can explain a wide-range of biological behaviors using minimal sensors similar to flying insects.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 AIAA. This is an author produced version of a paper subsequently published in 'AIAA Infotech @ Aerospace', at http://dx.doi.org/10.2514/6.2016-0404. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/J019534/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 05 Apr 2016 11:42 |
Last Modified: | 19 Dec 2022 13:33 |
Published Version: | http://arc.aiaa.org/doi/10.2514/6.2016-0404 |
Status: | Published |
Publisher: | American Institute of Aeronautics and Astronautics |
Identification Number: | 10.2514/6.2016-0404 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:96476 |