Sabo, C. orcid.org/0000-0002-3946-4609, Yavuz, E., Cope, A. et al. (4 more authors) (2017) An Inexpensive Flying Robot Design for Embodied Robotics Research. In: 2017 International Joint Conference on Neural Networks (IJCNN). 2017 International Joint Conference on Neural Networks, 14/05/2017 - 19/05/2017, Anchorage, Alaska. Institute of Electrical and Electronics Engineers , pp. 4171-4178.
Abstract
Flying insects are capable of a wide-range of flight and cognitive behaviors which are not currently understood. The replication of these capabilities is of interest to miniaturized robotics, because they share similar size, weight, and energy constraints. Currently, embodiment of insect behavior is primarily done on ground robots which utilize simplistic sensors and have different constraints to flying insects. This limits how much progress can be made on understanding how biological systems fundamentally work. To address this gap, we have developed an inexpensive robotic solution in the form of a quadcopter aptly named BeeBot. Our work shows that BeeBot can support the necessary payload to replicate the sensing capabilities which are vital to bees' flight navigation, including chemical sensing and a wide visual field-of-view. BeeBot is controlled wirelessly in order to process this sensor data off-board; for example, in neural networks. Our results demonstrate the suitability of the proposed approach for further study of the development of navigation algorithms and of embodiment of insect cognition.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Embodiment; Insects; Honeybees; Robotics; Quadcopters |
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 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/P006094/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Mar 2017 15:53 |
Last Modified: | 30 Jul 2017 04:27 |
Published Version: | https://doi.org/10.1109/IJCNN.2017.7966383 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/IJCNN.2017.7966383 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:113479 |