Erdinç ALTUĞ, Mehmet Emin MUMCUOĞLU, İlgaz YÜKSEL

Design of an Automatic Item Pick-up System for Unmanned Aerial Vehicles

The interest of Unmanned Aerial Vehicles (UAVs) for the purpose of delivery has increased significantly in recent years. However, the abilities of those vehicles are quite limited since the arms have not being designed considering the UAV geometry and the center of gravity (CG) changes. Usual approach taken by various researchers were to use a regular gripper or a robotic manipulator, which is not quite satisfactory for access. In this paper, the design of a mechanism for the purpose of catching and holding various shaped objects is proposed. The mechanism, which is based on a double four-bar mechanism, has been designed for minimum CG change. Moreover, the mechanism has the ability to grap objects from locations below as well as next to UAV. Besides, with the help of the onboard controller and camera, the arm acts as an independent entity to identify the position of the part, catch it, and autonomously hold it. It is also possible to carry more than one object with a net structure inside the mechanism storage area. The gripper has been designed and manufactured with flexible parts so that it can hold several geometric shaped objects. The UAV-arm has been designed and manufactured. It is installed on a UAV. Initial tests verify that it can identify and catch spherical, cylindrical, and box shaped pieces up to 650 grams.

Keywords:

Robotics arm design for UAV, Flexible Gripper, Four-bar mechanism,

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1. Gartner Inc., Gartner says almost 3 million personal and commercial drones will be shipped in 2017. http://www.gartner.com/newsroom/id/3602317 (accessed at 3.5.2017).
2. Michael, N, Shen, S, Mohta, K, Mulgaonkar, Y, Kumar, V, Nagatani, K, Tadokoro, S. 2012. Collaborative mapping of an earthquake-damaged building via ground and aerial robots. Journal of Field Robotics; 29 (5): 832-841.
3. Ozaslan T, Shen, S. Mulgaonkar, Y, Michael, N, Kumar, V. Inspection of Penstocks and Featureless Tunnel-like Environments Using Micro UAVs. In: Mejias L, Corke P, Roberts J. (eds) Field and Service Robotics, Springer Tracts in Advanced Robotics, vol 105, pp 123-136.
4. Tomic T, Schmid, K, Lutz, P, Domel, A, Kassecker, M, Mair, E, Burschka, D. 2012. Toward a Fully Autonomous UAV: Research Platform for Indoor and Outdoor Urban Search and Rescue. IEEE Robotics & Automation Magazine; 19 (3): 46-56.
5. Kucinski T. et al. Deployable Manipulator Technology with Application for UAVs. In: Sasiadek J (eds) Aerospace Robotics II. GeoPlanet: Earth and Planetary Sciences, Springer, Cham, 2015, pp 93-103.
6. Orsag, M, Korpela, C, Oh, P. 2013. Modeling and Control of MM-UAV: Mobile Manipulating Unmanned Aerial Vehicle. J Intell Robot Syst; 69: 227-240.
7. Fanni, M, Khalifa, A. 2017. A New 6-DOF Quadrotor Manipulation System: Design, Kinematics, Dynamics, and Control. IEEE/ASME Transactions on Mechatronics. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/tmech.2017.2681179
8. Mebarki, R., & Lippiello, V. 2014. Image-Based Control for Aerial Manipulation. Asian Journal of Control. Wiley-Blackwell. https://doi.org/10.1002/asjc.887
9. International Atomic Energy. 2014. Monitoring radiation with drones. [Online]. [Accessed: 3 May 2017]. https://www.iaea.org/newscenter/multimedia/podcasts/monitoring -radiation-drones
10. Kuckelhaus, M. 2014. Microdrones in logistics. https://www.microdrones.com/en/applications/growthmarkets/quadcopter-for-logistics/. [Online]. [Accessed: 3 May 2017].
11. Amazon Lays Out Plan for Drones to NavigateSkies. https://www.wsj.com/articles/amazon-lays-out-plan-for-dronesto-navigate\-skies-1438106902. [Online]. [Accessed: 9 December 2018].
12. Wikipedia. 2017. Amazon Prime Air. [Online]. [Accessed: 3 May 2017]. https://en.wikipedia.org/wiki/Amazon_Prime_Air
13. DHL. 2014. DHL Parcelcopter. [Online]. [Accessed: 14 February 2019]. https://discover.dhl.com/business/businessethics/parcelcopter-drone-technology
14. Matternet. 2017. In action for public health:MatternetM2.[Online].[Accessed:3 May 2017]. https://www.post.ch/-/media/post/ueberuns/medienmitteilungen/2017/drohnen/spezifikationen-matternetm2.pdf?la=en
15. Perez, S. 2017. ’UPS tests show delivery drones still need work’. [Online]. [Accessed: 3 May 2017]. https://techcrunch.com/2017/02/21/ups-tests-show-deliverydrones-still-need-work/
16. Macleod, D. 2015. Pepsi Max Drone Football. [Online]. [Accessed: 3 May 2017]. http://theinspirationroom.com/daily/2015/pepsi-max-dronefootball/
17. Robotiq. 2017. Adaptive 2-finger robot gripper. [Online]. [Accessed: 3 May 2017]. http://robotiq.com/products/adaptiverobot-gripper/
18. FESTO, 2014. Multichoicegripper. https://www.festo.com/net/SupportPortal/Files/333986/Festo_MultiChoiceGripper_en.pdf [Online]. [Accessed: 3 May 2017].
19. BOSCH. 2017. APAS Asistant. [Online]. [Accessed: 3 May 2017]. http://www.boschapas.com/en/apas/produkte/assistant/apas_assistant_3.html
20. FESTO AG & CO KG. 2014. Gripper device for gripping objects. European Patent, No: EP2735408 (A1), 2014.
21. Dorling, Kevin, Jordan Heinrichs, Geoffrey G Messier, and Sebastian Magierowski. "Vehicle Routing Problems for Drone Delivery." IEEE Transactions on Systems, Man, and Cybernetics: Systems 47, no. 1 (2016): 70-85.
22. Scott, Judy, and Carlton Scott. "Drone Delivery Models for Healthcare." Paper presented at the Proceedings of the 50th Hawaii international conference on system sciences, 2017.
23. Köse O, and Oktay, T. "Non Simultaneous Morphing System Desing for Quadrotors," European Journal of Science and Technology , vol.16, pp.577-588, 2019.
24. Ören, A, Koçyiğit, Y. "Unmanned Aerıal Vehicles Landing Sequencing Modelling Via Fuzzy Logic / İnsansız Hava Araçları İniş Sıralamasının Bulanık Mantık Modellemesi". Celal Bayar University Journal of Science, 12, 2016.