Skip to main content
SpringerLink
Log in

Mission planning of iOS application for a quadrotor UAV

  • Original Article
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

Abstract

Development of civilian UAV (unmanned aerial vehicle) applications has become possible with the progress of electronics and information technologies. In addition, smartphones have rapidly gained popularity and become very important due to the simple operability and mobility. Under such a background, there is a need to have an easy and flexible way to control a UAV using such a smartphone. The authors already developed basic handlers to enable an operator to remotely control a quadrotor and monitor its surroundings using an iOS device. The basic handlers were implemented for obtaining compass information, controlling a gimbal, autopilot function for return. In this paper, following and circling around functions while gazing a moving object are first developed. Then, another promising function called the mission planning is additionally designed and implemented to allow the quadrotor to execute a self-flight task using global positioning system (GPS) information. As a result, the iOS application enables the quadrotor to achieve complex tasks. The functionality of the developed software is evaluated through experiments using a quadrotor and an iOS device.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. Iscold P, Pereira S, Torres A (2010) Development of a hand-launched small UAV for ground reconnaissance. IEEE Trans Aerosp Electron Syst 46(1):335–348

    Article  Google Scholar 

  2. Mahony R, Kumar V, Corke P (2012) Multirotor aerial vehicles, modeling, estimation, and control of quadrotor. Robot Autom Mag 19(3):20–32

    Article  Google Scholar 

  3. Lim H, Park J, Lee D, Kim HJ (2012) Build your own quadrotor. Robot Autom Mag 19(3):33–44

    Article  Google Scholar 

  4. Lu Z, Nagata F (2017) Proposal of iPhone application for quadrotor UAV remote control—implementation of basic functions with iPhone. In: Proceedings of 22nd international symposium on artificial life and robotics (AROB2017), pp 571–575

  5. Lu Z, Nagata F, Watanabe K, Maki K (2017) Habib, iOS application for quadrotor UAV remote control—implementation of basic functions with iPhone. Artif Life Robot 22(3):374–379

    Article  Google Scholar 

  6. Lu Z, Nagata F, Watanabe K (2017) Development of iOS application handlers for quadrotor UAV remote control and monitoring. In: Proceedings of the 2017 IEEE international conference on mechatronics and automation (ICMA 2017), pp 513–518

  7. Lu Z, Nagata F, Watanabe K (2017) iOS application for remotely controlling a quadrotor UAV and monitoring a moving object. In: Proceedings of the 27th fuzzy, artificial intelligence, neural networks and computational intelligence (FAN2017), pp 104–108

  8. Lu Z, Nagata F, Watanabe K (2018) Remote control iOS application for a quadrotor UAV. In: Proceedings of 23rd international symposium on artificial life and robotics (AROB2018), pp 506–511

  9. Anderson F (2014) Xcode 5 start to finish: iOS and OS X development (Developer’s Library). Addison-Wesley Professional, Boston

    Google Scholar 

  10. Alenya G, Dellen B, Foix S, Torras C (2013) Robotized plant probing. Robot Autom Mag 20(3):50–59

    Article  Google Scholar 

  11. Shuying Y (2015) Image recognition and project practice. Publishing House of Electronics Industry, Beijing (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Graduate School of Science and Technology, Tokyo University of Science, Yamaguchi, 1-1-1 Daigaku-Dori, Sanyo-Onoda, 756-0884, Japan

    Zeming Lu & Fusaomi Nagata

  2. Okayama University, Okayama, Japan

    Keigo Watanabe

Authors
  1. Zeming Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fusaomi Nagata
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Keigo Watanabe
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Fusaomi Nagata.

Additional information

This work was presented in part at the 23rd International Symposium on Artificial Life and Robotics, Beppu, Oita, January 18–20, 2018.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lu, Z., Nagata, F. & Watanabe, K. Mission planning of iOS application for a quadrotor UAV. Artif Life Robotics 23, 428–433 (2018). https://doi.org/10.1007/s10015-018-0432-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10015-018-0432-3

Keywords

Search

Navigation