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Drone Reconfigurable Architecture (DRA): a Multipurpose Modular Architecture for Unmanned Aerial Vehicles (UAVs)

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Abstract

This work proposes the Drone Reconfigurable Architecture (\(\mathcal {DRA}\)), which is a modular architecture for UAVs with electrical, mechanical, and computational specifications. The theoretical aspects of the architecture are introduced through a case study with practical implementations aiming to design a multi-rotor UAV, which also includes the manufacturing steps of a functional prototype. Our proposal can be used in a scenario where the capacity of physical reconfiguration of a UAV would confer an enormous advantage to these aircraft in terms of applicability. This happens in the case where each task typically requires a robot with a particular physical architecture (number and position of propellers, autonomy, thrust, sensors, and communication). Results of a set of tests with an aircraft assembly are presented to verify the versatility of the proposed architecture, demonstrating the better performance of these aircraft when compared with conventional UAVs. The proposed methodology allows applications in a variety of scenarios like cargo transportation, support, agriculture, publicity, pest control, surveillance, inspection, and entertainment, between others. In these scenarios, although a software with some generic components could easily control drones to perform all of them, it is unthinkable to consider that a single drone with a particular physical structure would be able to be adapted to all of the tasks necessary (as path following, localization, and mapping).

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References

  1. Aerones. https://www.aerones.com. Accessed: 2018-07-20

  2. Amazon Technologies Inc: Collective unmanned aerial vehicle configurations. Patent US 20160378108a1. https://patents.google.com/patent/US20160378108A1/en?q=COLLECTIVE&q=UNMANNED+AERIAL+VEHICLE&q=CONFIGURATIONS&oq=COLLECTIVE+UNMANNED+AERIAL+VEHICLE+CONFIGURATIONS (2015)

  3. Ashour, R., Taha, T., Mohamed, F., Hableel, E., Kheil, Y. A., Elsalamouny, M., Kadadha, M., Rangan, K., Dias, J., Seneviratne, L., Cai, G.: Site Inspection Drone: a Solution for Inspecting and Regulating Construction Sites. In: 2016 IEEE 59Th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 1–4. https://doi.org/10.1109/MWSCAS.2016.7870116 (2016)

  4. Augugliaro, F., Hamer, S. L. M., Male, C., Hehn, M., Mueller, M. W., Willmann, J. S., Gramazio, F., Kohler, M., D’andrea, R.: The flight assembled architecture installation: Cooperative contruction with flying machines. IEEE Control Syst. 34(4), 46–64 (2014)

    Article  MathSciNet  Google Scholar 

  5. Bender, D., Koch, W., Cremers, D.: Map-Based Drone Homing Using Shortcuts. In: 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), pp. 505–511. https://doi.org/10.1109/MFI.2017.8170371 (2017)

  6. Bitar, A., Jamal, A., Sultan, H., Alkandari, N., El-Abd, M.: Medical Drones System for Amusement Parks. In: 2017 IEEE/ACS 14Th International Conference on Computer Systems and Applications (AICCSA), pp. 19–20. https://doi.org/10.1109/AICCSA.2017.62 (2017)

  7. Bobovský, Z.: Automatic Detection of the Connected Module and Its Orientation. In: Industrial and Service Robotics, Applied Mechanics and Materials, vol. 613, pp. 151–156. Trans Tech Publications Ltd. https://doi.org/10.4028/www.scientific.net/AMM.613.151 (2014)

  8. Colombini, E. L., Simões, A. S., Matsuura, J. P., Franchin, M.N.: TORP: an open standard framework for humanoid robots. In: Proceedings of the Latin American Robotics Symposium (LARS), pp. 49–54. São Bernardo do Campo, SP (2010)

  9. D’Andrea, R.: The distributed flight array. Mechatronics 21(6), 908–917 (2011)

    Article  Google Scholar 

  10. D’Andrea, R.: Guest editorial: Can drones deliver?. IEEE Trans. Autom. Sci. Eng. 11(3), 647–648 (2014)

    Article  Google Scholar 

  11. Elwha LLC: Reconfigurable unmanned aircraft system. Patent US 20160159472a1. https://patents.google.com/patent/US20160159472A1/en?q=~pate+nt (2014)

  12. Falanga, D., Kleber, K., Mintchev, S., Floreano, D., Scaramuzza, D.: The foldable drone: a morphing quadrotor that can squeeze and fly. IEEE Robot. Autom. Lett. 4(2), 209–216 (2019)

    Article  Google Scholar 

  13. Forte, F., Naldi, R., Serrani, A., Marconi, L.: Control of Modular Aerial Robots: Combining under and Fully-Actuated Behaviors. In: 51Th IEEE Conference on Decision and Control, pp. 1160–1165. IEEE, Maui, Hawaii (2012)

  14. Kayan, H., Eslampanah, R., Yeganli, F., Askar, M.: Heat Leakage Detection and Surveiallance Using Aerial Thermography Drone. In: 2018 26Th Signal Processing and Communications Applications Conference (SIU), pp. 1–4. https://doi.org/10.1109/SIU.2018.8404366 (2018)

  15. Kornatowski, P. M., Bhaskaran, A., Heitz, G. M., Mintchev, S., Floreano, D.: Last-centimeter personal drone delivery: Field deployment and user interaction. IEEE Robot. Autom. Lett. 3(4), 3813–3820 (2018). https://doi.org/10.1109/LRA.2018.2856282

    Article  Google Scholar 

  16. Kornatowski, P. M., Mintchev, S., Floreano, D.: An Origami-Inspired Cargo Drone. In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6855–6862. https://doi.org/10.1109/IROS.2017.8206607 (2017)

  17. Lee, J.: Optimization of a Modular Drone Delivery System. In: 2017 Annual IEEE International Systems Conference (SysCon). IEEE. https://doi.org/10.1109/SYSCON.2017.7934790 (2017)

  18. Li, G., Gabrich, B., Saldaña, D., Das, J., Kumar, V., Yim, M.: ModQuad-Vi: a Vision-Based Self-Assembling Modular Quadrotor. In: IEEE International Conference on Robotics and Automation (ICRA). IEEE, Montreal, Canada (2019)

  19. Munoz-Salinas, R.: ArUco: Augmented reality library based on opencv. https://sourceforge.net/projects/aruco/(2012)

  20. Naldi, R., Forte, F., Marconi, L.: A Class of Modular Aerial Robots. In: 50Th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), pp. 3584–3589. IEEE, Orlando, FL (2011)

  21. Naldi, R., Riccò, A., Serrani, A., Marconi, L.: A Modular Aerial Vehicle with Redundant Actuation. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1393–1398. IEEE, Tokyo, Japan (2013)

  22. Naldi, R., Serrani, A., Marconi, L.: Modeling and control of a class of modular aerial robots combining under actuated and fully actuated behavior. IEEE Trans Control Syst Technol 23(5), 1869–1885 (2015)

    Article  Google Scholar 

  23. Patel, P.: Agriculture drones are finally cleared for takeoff [news]. IEEE Spectr. 53(11), 13–14 (2016). https://doi.org/10.1109/MSPEC.2016.7607013

    Article  Google Scholar 

  24. Peinecke, N., Volkert, A., Korn, B. R.: Minimum Risk Low Altitude Airspace Integration for Larger Cargo Uas. In: 2017 Integrated Communications, Navigation and Surveillance Conference (ICNS), pp. 6E2–1–6E2–11. https://doi.org/10.1109/ICNSURV.2017.8011946 (2017)

  25. Quiroz, G., Kim, S. J.: A Confetti Drone: Exploring Drone Entertainment. In: 2017 IEEE International Conference on Consumer Electronics (ICCE), pp. 378–381. https://doi.org/10.1109/ICCE.2017.7889362(2017)

  26. Ramaraj, G. D., Venkatakrishnan, S., Balasubramanian, G., Sridhar, S.: Aerial Surveillance of Public Areas with Autonomous Track and Follow Using Image Processing. In: 2017 International Conference on Computer and Drone Applications (IConDA), pp. 92–95. https://doi.org/10.1109/ICONDA.2017.8270406 (2017)

  27. Reinecke, M., Prinsloo, T.: The Influence of Drone Monitoring on Crop Health and Harvest Size. In: 2017 1St International Conference on Next Generation Computing Applications (Nextcomp), pp. 5–10. https://doi.org/10.1109/NEXTCOMP.2017.8016168 (2017)

  28. Research, G.V.: Commercial drone market analysis by product, by application and segment forecasts to 2022. Technical Report. ID 978-1-68038-482-6. https://www.grandviewresearch.com/industry-analysis/global-commercial-drones-market (2016)

  29. Spoorthi, S., Shadaksharappa, B., Suraj, S., Manasa, V.K.: Freyr Drone: Pesticide/Fertilizers Spraying Drone - an Agricultural Approach. In: 2017 2Nd International Conference on Computing and Communications Technologies (ICCCT), pp. 252–255. https://doi.org/10.1109/ICCCT2.2017.7972289 (2017)

  30. Sato, S., Anezaki, T.: Autonomous Flight Drone for Infrastructure (Transmission Line) Inspection (2). In: 2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), pp. 294–296. https://doi.org/10.1109/ICIIBMS.2017.8279697 (2017)

  31. da Silva Ferreira, M. A., Lopes, G. C., Colombini, E. L., da Silva Simões, A.: A Novel Architecture for Multipurpose Reconfigurable Unmanned Aerial Vehicle (UAV): Concept, design and prototype manufacturing. In: Latin American Robotics Symposium (LARC), Brazilian Symposium on Robotics (SBR) and Workshop on Robotics in Education (WRE), pp. 443. Brazilian Computer Society (SBC), João Pessoa (2018)

  32. Simões, A.S., Colombini, E. L., Francin, M. N., Matsuura, J. P.: TORP: The open robot project. J. Intell. Robot. Syst. 66, 3–22 (2012)

    Article  Google Scholar 

  33. Sărăcin, C.G., Dragoṣ, I., Chirilă, A.I.: Powering Aerial Surveillance Drones. In: 2017 10Th International Symposium on Advanced Topics in Electrical Engineering (ATEE), pp. 237–240. https://doi.org/10.1109/ATEE.2017.7905185 (2017)

  34. Vantage Robotics LLC: Modular UAV with module identification. Patent US 20180244365. https://patents.google.com/patent/US20180244365A1/en?q=Modular&q=uav&q=module&q=identification&oq=Modular+uav+with+module+identification (2018)

  35. Yallappa, D., Veerangouda, M., Maski, D., Palled, V., Bheemanna, M.: Development and Evaluation of Drone Mounted Sprayer for Pesticide Applications to Crops. In: 2017 IEEE Global Humanitarian Technology Conference (GHTC), pp. 1–7. https://doi.org/10.1109/GHTC.2017.8239330 (2017)

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Acknowledgments

The authors would like to thank Unesp, Santander, Graduation pro-rectory (Prograd), Unesp Innovation Agency (AUIN) and Unesp Sorocaba staff for the support in a wide variety of ways that made this work possible. Authors would like also to thank FUNCAMP for the student’s grant. The patent number BR102018073054-1 protects the Drone Reconfigurable Architecture presented in this paper.

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Authors and Affiliations

  1. Institute of Science and Technology of Sorocaba (ICTS), São Paulo State University (Unesp), Automation and Integrated Systems Group (GASI), Campus of Sorocaba, SP, Brazil

    Murillo Augusto da Silva Ferreira, Maria Fernanda Tejada Begazo, Alexandre Felipe de Oliveira & Alexandre da Silva Simões

  2. Laboratory of Robotics and Cognitive Systems (LaRoCS), Institute of Computing (IC), University of Campinas (Unicamp), SP, Brazil

    Guilherme Cano Lopes & Esther Luna Colombini

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  1. Murillo Augusto da Silva Ferreira
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  2. Maria Fernanda Tejada Begazo
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  3. Guilherme Cano Lopes
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  4. Alexandre Felipe de Oliveira
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  5. Esther Luna Colombini
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  6. Alexandre da Silva Simões
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Correspondence to Murillo Augusto da Silva Ferreira.

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da Silva Ferreira, M.A., Begazo, M.F.T., Lopes, G.C. et al. Drone Reconfigurable Architecture (DRA): a Multipurpose Modular Architecture for Unmanned Aerial Vehicles (UAVs). J Intell Robot Syst 99, 517–534 (2020). https://doi.org/10.1007/s10846-019-01129-4

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