Abstract
A novel solution for indoor navigation of a transportation drone in flexible manufacturing is presented in this paper. To address the challenges of accurate and robust drone navigation in occluded environments, an ultra-wideband (UWB) navigation system has been integrated with a commercially available open source control platform. The system offers high accuracy (±20 mm), low power consumption, resistance to electronic interference, and support for automatic navigation. UWB technology has not been applied to drone navigation in flexible manufacturing before. Acceptable navigation accuracy was demonstrated in preliminary testing, which is expected to have significant implications for the efficiency and safety of manufacturing operations.
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Acknowledgment
This work is partly funded by the European Commission, framework HORIZON-WIDERA-2021-ACCESS-03, project 101079398 ‘New Approach to Innovative Technologies in Manufacturing (NEPTUN)’.
Financial support for the third author from the Gdańsk University of Technology by the DEC-13/2021/IDUB/ll.1/AMERICIUM grant under the AMERICIUM – ‘Excellence Initiative – Research University’ program is gratefully acknowledged.
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TEMA - Centre for Mechanical Technology and Automation, Department of Mechanical Engineering, University of Aveiro, Porto, Portugal
Francisco J. G. Silva
TEMA - Centre for Mechanical Technology and Automation, Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal
António B. Pereira
Department of Mechanical Engineering, ISEP – School of Engineering, Polytechnic of Porto, Porto, Portugal
Raul D. S. G. Campilho
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Savvakis, P., Vosniakos, GC., Stathatos, E., Debar-Monclair, A., Chodnicki, M., Benardos, P. (2024). UWB-Based Indoor Navigation in a Flexible Manufacturing System Using a Custom Quadrotor UAV. In: Silva, F.J.G., Pereira, A.B., Campilho, R.D.S.G. (eds) Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. FAIM 2023. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-38241-3_11
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