Skip to main content
SpringerLink
Log in

Cloud Robotics: Insight and Outlook

  • Conference paper
  • First Online:
Industrial IoT Technologies and Applications (Industrial IoT 2016)

Abstract

With the development of cloud computing, big data and other emerging Technology, the integration of cloud technology and multi-robot system makes it possible to make the multi robot system with high performance and high complexity. This paper briefly describes the concept and development process of the cloud robot and the overall architecture of the cloud robot system. In this paper, the major elements of cloud robot are analyzed from the point of view of big data, cloud computing, open source resources and robot cooperative learning. The key problems to be solved in the current cloud robot system are proposed. Finally, we prospect the future development of the cloud robot.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. New York Times. http://www.nytimes.com/2014/08/18/technology/for-big-data-scientists-hurdle-to-insights-is-janitor-work.html

  2. IEEE Society of Robotics and Automation’s Technical Committee on: Networked Robots. http://www-users.cs.umn.edu/~isler/tc/

  3. Riazuelo, L., Tenorth, M., Di Marco, D., et al.: RoboEarth semantic mapping: a cloud enabled knowledge-based approach. IEEE Trans. Autom. Sci. Eng. 12, 432–443 (2015)

    Article  Google Scholar 

  4. Wang, S., Wan, J., Li, D., Zhang, C.: Implementing smart factory of industrie 4.0: an outlook. Int. J. Distrib. Sens. Netw. 2016, 10 (2016)

    Google Scholar 

  5. Wang, S., Wan, J., Zhang, D., Li, D., Zhang, C.: Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Elsevier. Comput. Netw. 101, 158–168 (2016)

    Article  Google Scholar 

  6. Kuffner, J.J.: Cloud-enabled robots. In: Proceedings of IEEE-RAS International Conference on Humanoid Robotics (2010)

    Google Scholar 

  7. Arumugam, R., Enti, V.R., et al.: DAvinCi: a cloud computing framework for service robots. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 3084–3089 (2010)

    Google Scholar 

  8. Mohanarajah, G., et al.: Rapyuta: a cloud robotics platform. IEEE Trans. Autom. Sci. Eng. 12, 481–493 (2015)

    Article  Google Scholar 

  9. Morgan, Q., et al.: ROS: an open-source robot operating system. In: IEEE International Conference on Robotics and Automation (ICRA) Workshop on Open Source Software, vol. 3(2), p. 5 (2009)

    Google Scholar 

  10. Hu, G., Tay, W.P., Wen, Y.: Cloud robotics: architecture, challenges and applications. IEEE Netw. 26, 21–28 (2012)

    Article  Google Scholar 

  11. Rekleitis, I.M., Dudek, G., Milios, E.E.: Multi-robot cooperative localization: a study of trade-offs between efficiency and accuracy. In: IEEE/RSJ International Conference on Intelligent Robots and Systems 2002, vol. 3, pp. 2690–2695 (2002)

    Google Scholar 

  12. Felip, J., Morales, A.: Robust sensor-based grasp primitive for a three-finger robot hand. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1811–1816 (2009)

    Google Scholar 

  13. Kehoe, B., Warrier, D., Patil, S., Goldberg, K.: Cloud-based grasp analysis and planning for toleranced parts using parallelized Monte Carlo sampling. IEEE Trans. Autom. Sci. Eng. 12, 455–470 (2015)

    Article  Google Scholar 

  14. Yuan, W., Deng, P., Taleb, T., Wan, J., Bi, C.: An unlicensed taxi identification model based on big data analysis. IEEE Trans. Intell. Transp. Syst. 17, 1703–1713 (2015)

    Article  Google Scholar 

  15. Shu, Z., Wan, J., Zhang, D., Li, D.: Cloud-integrated cyber-physical systems for complex industrial applications. Mobile Netw. Appl., 1–14 (2015). ACM/Springer

    Google Scholar 

  16. Wan, J., Zhang, D., Zhao, S., Yang, L., Lloret, J.: Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions. IEEE Commun. Mag. 52, 106–113 (2014)

    Article  Google Scholar 

  17. Li, X., Li, D., Wan, J., Vasilakos, A.V., Lai, C.F., Wang, S.: A review of industrial wireless networks in the context of industry 4.0. Wirel. Netw., 1–19 (2015)

    Google Scholar 

  18. Royer, E.M., Toh, C.K.: A review of current routing protocols for ad hoc mobile wireless networks. IEEE Pers. Commun. 6, 46–55 (1999)

    Article  Google Scholar 

  19. Ren, K., Wang, C., Wang, Q.: Security challenges for the public cloud. IEEE Internet Comput. 1, 69–73 (2012)

    Article  Google Scholar 

  20. Lin, P., Abney, K., Bekey, G.A.: Robot ethics: the ethical and social implications of robotics. MIT Press, Cambridge (2011)

    Google Scholar 

  21. Proia, A.A., Simshaw, D., Hauser, K.: Consumer cloud robotics and the fair information practice principles: recognizing the challenges and opportunities ahead. Soc. Sci. Res. Netw. 145 (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China

    Shenglong Tang & Jiafu Wan

  2. School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, China

    Hu Cai

  3. Anhui Normal Unviersity, Wuhu, China

    Fulong Chen

Authors
  1. Shenglong Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jiafu Wan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hu Cai
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fulong Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jiafu Wan .

Editor information

Editors and Affiliations

  1. School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China

    Jiafu Wan

  2. Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia

    Iztok Humar

  3. Software Engineering, Tongji University, Shanghai, China

    Daqiang Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Tang, S., Wan, J., Cai, H., Chen, F. (2016). Cloud Robotics: Insight and Outlook. In: Wan, J., Humar, I., Zhang, D. (eds) Industrial IoT Technologies and Applications. Industrial IoT 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 173. Springer, Cham. https://doi.org/10.1007/978-3-319-44350-8_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-44350-8_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44349-2

  • Online ISBN: 978-3-319-44350-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation