Skip to main content

ROSLink: Bridging ROS with the Internet-of-Things for Cloud Robotics

  • Chapter
  • First Online:
Robot Operating System (ROS)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 707))

Abstract

The integration of robots with the Internet is nowadays an emerging trend, as new form of the Internet-of-Things (IoT). This integration is crucially important to promote new types of cloud robotics applications where robots are virtualized, controlled and monitored through the Internet. This paper proposes ROSLink, a new protocol to integrate Robot Operating System (ROS) enabled-robots with the IoT. The motivation behind ROSLink is the lack of ROS functionality in monitoring and controlling robots through the Internet. Although, ROS allows control of a robot from a workstation using the same ROS master, however this solution is not scalable and rather limited to a local area network. Solutions proposed in recent works rely on centralized ROS Master or robot-side Web servers sharing similar limitations. Inspired from the MAVLink protocol, the proposed ROSLink protocol defines a lightweight asynchronous communication protocol between the robots and the end-users through the cloud. ROSLink leverages the use of a proxy cloud server that links ROS-enabled robots with users and allows the interconnection between them. ROSLink performance was tested on the cloud and was shown to be efficient and reliable.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover 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. Kuffner, J. 2010. Cloud-enabled robots. In IEEE-RAS International Conference on Humanoid Robots. IEEE.

    Google Scholar 

  2. Chaari, R., F. Ellouze, A. Koubaa, B. Qureshi, N. Pereira, H. Youssef, and E. Tovar. 2016. Cyber-physical systems clouds: A survey. Computer Networks 108: 260–278. http://www.sciencedirect.com/science/article/pii/S1389128616302699.

  3. Qureshi, B., and A. Koubaa. 2014. Five traits of performance enhancement using cloud robotics: A survey. Procedia Computer Science 37: 220–227. http://www.sciencedirect.com/science/article/pii/S1877050914009983.

  4. Quigley, M., K. Conley, B.P. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, and A.Y. Ng. 2009. Ros: an open-source robot operating system. In ICRA Workshop on Open Source Software.

    Google Scholar 

  5. Casini, M., A. Garulli, A. Giannitrapani, and A. Vicino. 2014. A remote lab for experiments with a team of mobile robots. Sensors 14: 16486–16507.

    Google Scholar 

  6. Pitzer, B., S. Osentoski, G. Jay, C. Crick, and O.C. Jenkins. 2012. Pr2 remote lab: An environment for remote development and experimentation. In IEEE International Conference on Robotics and Automation (ICRA).

    Google Scholar 

  7. Casañ, G.A., E. Cervera, A.A. Moughlbay, J. Alemany, and P. Martinet. 2015. Ros-based online robot programming for remote education and training. In 2015 IEEE International Conference on Robotics and Automation (ICRA), 6101–6106.

    Google Scholar 

  8. Esteller-Curto, R., E. Cervera, A.P. del Pobil, and R. Marin. 2012. Proposal of a rest-based architecture server to control a robot. In 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 708–710.

    Google Scholar 

  9. Arumugam, R., V.R. Enti, L. Bingbing, W. Xiaojun, K. Baskaran, F.F. Kong, A.S. Kumar, K.D. Meng, and G.W. Kit. Davinci: A cloud computing framework for service robots. In 2010 IEEE International Conference on Robotics and Automation, 3084–3089.

    Google Scholar 

  10. Narita, M., S. Okabe, Y. Kato, Y. Murakwa, K. Okabayashi, and S. Kanda. 2013. Reliable cloud-based robot services. In 39th Annual Conference of the IEEE Industrial Electronics Society.

    Google Scholar 

  11. Crick, C., G.T. Jay, S. Osentoski, B. Pitzer, and O.C. Jenkins. 2011. rosbridge: ROS for Non-ROS Users. In International Symposium on Robotics Research (ISRR 2011). AZ, USA: Flagstaff.

    Google Scholar 

  12. Koubâa, A. 2015. ROS As a Service: Web Services for Robot Operating System. Journal of Software Engineering for Robotics 6 (1).

    Google Scholar 

  13. MAVLink Micro Air Vehicle Communication Protocol. 2016. http://qgroundcontrol.org/mavlink/start. Accessed 7 Jun 2016.

  14. Osentoski, S., G. Jay, C. Crick, B. Pitzer, C. DuHadway, and O.C. Jenkins. 2011. Robots as web services: Reproducible experimentation and application development using rosjs. In 2011 IEEE International Conference on Robotics and Automation (ICRA), 6078–6083.

    Google Scholar 

  15. The JSON Data Interchange Format, First edition ed. ECMA International. 2013. http://www.ecma-international.org/publications/files/ECMA-ST/ECMA-404.pdf

  16. ROSLink Message Specification Set. 2016. http://wiki.coins-lab.org/roslink/ROSLINKCommonMessageSet.pdf. Accessed 22 Oct 2016.

  17. Koubaa, A., B. Qureshi, M.-F. Sriti, Y. Javed, and E. Tovar. 2016. Dronemap planner: A service-oriented cloud-based management system for the internet-of-drones. In The 32nd ACM Symposium on Applied Computing.

    Google Scholar 

  18. Dronemap Planner Demos. 2016. http://wiki.coins-lab.org/index.php?title=Dronemap. Accessed 6 Nov 2016.

  19. Telerobot. 2016. http://telerobot.mech.uwa.edu.au/Telerobot/index.html Accessed 10 May 2016.

  20. Marín, R., P. Sanz, and A. del Pobil. 2003. The uji online robot: An education and training experience. Autonomous Robots 15 (3): 283–297. http://dx.doi.org/10.1023/A:1026220621431.

Download references

Acknowledgements

This work is supported by the Dronemap project entitled “DroneMap: A Cloud Robotics System for Unmanned Aerial Vehicles in Surveillance Applications” under the grant number 35-157 from King Abdul Aziz City for Science and Technology (KACST), and supported by Prince Sultan University. In addition, the authors would like to thank the Robotics and Internet of Things (RIoT) Unit at Prince Sultan University’s Innovation Center for their support to this work. The authors would like also to thank Gaitech Robotics in China for their support to this work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anis Koubaa .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Koubaa, A., Alajlan, M., Qureshi, B. (2017). ROSLink: Bridging ROS with the Internet-of-Things for Cloud Robotics. In: Koubaa, A. (eds) Robot Operating System (ROS). Studies in Computational Intelligence, vol 707. Springer, Cham. https://doi.org/10.1007/978-3-319-54927-9_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-54927-9_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54926-2

  • Online ISBN: 978-3-319-54927-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics