Skip to main content

Android-Based Mobile Robotic Platform Performance Testing for Real-Time Navigation

  • Conference paper
  • First Online:
Robot Intelligence Technology and Applications 4

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 447))

  • 2235 Accesses

Abstract

This paper discusses the suitability of usage of smartphones running on Android operating system in robot navigation tasks. These phones are equipped with many sensors useful in robotics. Robot navigation tasks are often recommending high-performance devices (computers) to work on. Nowadays smartphones are also equipped with very powerful processors. Therefore a performance test of different devices with Android operating system including their sensorial equipment has been made to determine the usability of these devices for real-time robot navigation.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Burian, F., Kocmanová, P., Žalud, L.: Robot mapping with range camera, CCD cameras and thermal imagers. In: Proceedings of 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014, pp. 200–205 (2014). ISBN: 978-1-4799-5082-9

    Google Scholar 

  2. Lipták, T., Duchoň, F., Kelemenová, T., Puškár, M., Kelemen, M., Kurylo, P., Prada, E.: Analysis of uncertainty of tilt measurement with accelerometer. Applied Mechanics and Materials, vol. 611, pp. 548–556 (2014). ISSN: 1660-9336

    Google Scholar 

  3. Sukop, M., Hajduk, M., Vagaš, M.: Transferring image processing algorithms on application with multi arm robot and mobile phone. In: Robotics in Alpe-Adria-Danube Region: 23rd International Conference: September 3–5, 2014, Smolenice Castle, Slovakia, pp. 1–6. STU, Bratislava (2014). ISBN: 978-80-227-4219-1

    Google Scholar 

  4. Židek, K., Dovica, M., Líška, O.: Angle Measuring by Mems Accelerometers. J. Autom. Mobile Robot. Intell. Syst. 6(4), 3–6 (2012). ISSN: 1897-8649. http://www.jamris.org/04_2012/saveas.php?QUEST=JAMRIS_No04_2012_P_03-06.pdf

  5. Maia, C., Nogueira, L.M., Pinho, L.M.: Evaluating android OS for embedded real-time systems. In: 6th International Workshop on Operating Systems Platforms for Embedded Real-Time Applications (OSPERT 2010), pp. 63–70. Brussels, Belgium (2010)

    Google Scholar 

  6. Miková, Ľ., Kelemen, M., Koniar, D.: Mathematical model of four wheeled mobile robot and its experimental verification. Appl. Mech. Mater. 611, 130–136 (2014). ISSN: 1660-9336

    Google Scholar 

  7. Bradski, G., Kaehler, A.: Learning OpenCV, O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472 (2008). ISBN: 978-0-596-51613-0

    Google Scholar 

  8. Hargaš, L., Hrianka, M., Koniar, D.: Image processing and analysis: a practical approach. Text book. University of Žilina, Žilina (2008). 1 elektronický optický disk (CD-ROM). ISBN: 978-80-8070-962-4

    Google Scholar 

  9. Hokuyo Automatic Co., Ltd.: Scanning laser range finder URG-04LX-UG01 (Simple-URG) specifications. Osaka, Japan (2009)

    Google Scholar 

  10. Google Inc.: Android developers—sensors overview. http://developer.android.com/guide/topics/sensors/sensors_overview.html (2007)

  11. GSMArena, Arena Com Ltd.: Samsung I9100 Galaxy S II. http://www.gsmarena.com/samsung_i9100_galaxy_s_ii-3621.php (2006)

  12. GSMArena, Arena Com Ltd.: Asus Google Nexus 7 (2013). http://www.gsmarena.com/asus_google_nexus_7_(2013)-5600.php (2006)

  13. GSMArena, Arena Com Ltd.: Sony Xperia Z3 Compact. http://www.gsmarena.com/sony_xperia_z3_compact-6538.php (2006)

  14. Google Inc.: Android Developers—SensorManager. http://developer.android.com/reference/android/hardware/SensorManager.html#getRotationMatrix(float[],float[],float[],float[]) (2007)

  15. Kuo, M.M., Lee, B.H.: Real-Time Digital Signal Processing: Implementations, Applications, and Experiments with the Tms320c55x. John Wiley and Sons Inc., New York (2001). ISBN 0470841370

    Google Scholar 

Download references

Acknowledgments

This work was supported by MS SR under contract APVV-0539-11, KEGA 003STU-4/2014 and APVV-0504-12.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peter Pásztó .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this paper

Cite this paper

Pásztó, P., Smol’ák, M., Duchoň, F., Hubinský, P., Chovanec, L. (2017). Android-Based Mobile Robotic Platform Performance Testing for Real-Time Navigation. In: Kim, JH., Karray, F., Jo, J., Sincak, P., Myung, H. (eds) Robot Intelligence Technology and Applications 4. Advances in Intelligent Systems and Computing, vol 447. Springer, Cham. https://doi.org/10.1007/978-3-319-31293-4_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-31293-4_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31291-0

  • Online ISBN: 978-3-319-31293-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics