A New Concept of UAV Recovering System

  • Jun Jiang
  • Houde LiuEmail author
  • Bo Yuan
  • Xueqian Wang
  • Bin Liang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11742)


This paper introduces a new concept of recovering UAVs to their carrier using manipulator, aiming to better use the carrier’s carrying capability. The state-of-the-art of recycling UAVs are stated in the first place, the advantages and the setbacks of the current available recycling systems are introduced, and the reason for the setbacks are further analyzed before this new concept is introduced. To accomplish the basic recovering task, a minimum system configuration that can explain the idea is introduced and the model of the system is built based on several important assumptions. To further explain how the system works, a simulation based on the above configuration is given. The simulation result indicates that the system can fulfill the task of recovering the UAV, and the result also verified the efficiency of the new system, which implies its potential usefulness in the future application.


Multi-copter Manipulator UAV recovering 



This work was partially supported by the National Natural Science Foundation of China (No. U1813216 and No. 61803221), the Science and Technology Research Foundation of Shenzhen (JCYJ20160301100921349 and JCYJ20170817152701660).


  1. 1.
    Daly, J.M., Yan, M., Waslander, S.L.: Coordinated landing of a quadrotor on a skid-steered ground vehicle in the presence of time delays. Auton. Robots 38(2), 179–191 (2015)CrossRefGoogle Scholar
  2. 2.
    Botao, H., Lu, L., Mishra, S.: Fast, safe and precise landing of a quadrotor on an oscillating platform. In: 2015 American Control Conference (ACC), pp. 3836–3841 (2015)Google Scholar
  3. 3.
    Tang, Z., et al.: Homing on a moving dock for a quadrotor vehicle. In: 2015 IEEE Region 10 Conference, TENCON 2015, pp. 1–6 (2015)Google Scholar
  4. 4.
    Zheng, D., Wang, H., Chen, W.: Image-based visual tracking of a moving target for a quadrotor. In: 2017 11th Asian Control Conference (ASCC), pp. 198–203 (2017)Google Scholar
  5. 5.
    Kim, J., et al.: Outdoor autonomous landing on a moving platform for quadrotors using an omnidirectional camera. In: 2014 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1243–1252 (2014)Google Scholar
  6. 6.
    Vlantis, P., et al.: Quadrotor landing on an inclined platform of a moving ground vehicle. In: 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 2202–2207 (2015)Google Scholar
  7. 7.
    Benini, A., Rutherford, M.J., Valavanis, K.P.: Experimental evaluation of a real-time GPU-based pose estimation system for autonomous landing of rotary wings UAVs. Control Theory Technol. 16(2), 145–159 (2018)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Jung, Y., Cho, S., Shim, D.H.: A trajectory-tracking controller design using L1 adaptive control for multi-rotor UAVs. In: 2015 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 132–138 (2015)Google Scholar
  9. 9.
    Chen, X., et al.: System integration of a vision-guided UAV for autonomous landing on moving platform. In: IEEE International Conference on Control and Automation, pp. 761–766 (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jun Jiang
    • 1
  • Houde Liu
    • 1
    Email author
  • Bo Yuan
    • 1
  • Xueqian Wang
    • 1
  • Bin Liang
    • 1
  1. 1.Graduate School at ShenzhenTsinghua UniversityShenzhenPeople’s Republic of China

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