Skip to main content

Vision Sharing Method of Network Robot Based on Deep Learning

  • Conference paper
  • First Online:
Cyber Security Intelligence and Analytics (CSIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1146))

  • 1013 Accesses

Abstract

With the development of science and technology, robots are evolving from scratch, from low-level systems to high-level systems. The future of intelligent robots is towards intelligent and emotional development, and finally to achieve the goal of human-computer coexistence. Network robot is the main direction of future development. It is a robot controlled by computer network. Human-computer interaction technology, visual sharing and remote monitoring technology, data transmission and communication are the focus of their research. Therefore, the purpose of this paper is to explore the research of vision sharing method based on the theory of robotic algorithm, which leads to different thinking about the future development direction of robots. This paper will adopt the research method of concrete analysis of specific problems to make data comparison and draw conclusions. The results of this study show that as a typical representative of advanced manufacturing equipment, the network intelligent robot will have a large industrial development space and broad market prospects. At the same time, the country should draw lessons from the successful practices of foreign advanced robot industry development, formulate the development strategy and related policies of the robot industry, which is the key to the success or failure of China’s robot industry development.

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. Torres-González, A., Dios, M.D., Ollero, A.: Range-only slam for robot-sensor network cooperation. Auton. Robot. 42(4), 1–15 (2017)

    Google Scholar 

  2. He, W., Chen, Y., Yin, Z.: Adaptive neural network control of an uncertain robot with full-state constraints. IEEE Trans. Cybern. 46(3), 620–629 (2017)

    Article  Google Scholar 

  3. Gao, B., Han, W.: Neural network model reference decoupling control for single leg joint of hydraulic quadruped robot. Assembly Autom. 38(4), 465–475 (2018)

    Article  Google Scholar 

  4. Gang, C., Zhang, W.G., Wang, L.M.: Fuzzy-neural-network-based speed control method and experiment verification for electromagnetic direct drive robot driver. Chin. Sci. Bull. 62(30), 3514–3527 (2017)

    Article  Google Scholar 

  5. Singh, N.H., Thongam, K.: Neural network-based approaches for mobile robot navigation in static and moving obstacles environments. Intell. Serv. Robot. 12(1), 1–13 (2018)

    Google Scholar 

  6. Yan, X., Lu, Y.: Progressive visual secret sharing for general access structure with multiple decryptions. Multimedia Tools Appl. 77(2), 1–20 (2017)

    Google Scholar 

  7. Zhang, W., Shih, F.Y., Hu, S., Jian, M.: A visual secret sharing scheme based on improved local binary pattern. Int. J. Pattern Recogn. Artif. Intell. 32(2), 5 (2018)

    MathSciNet  Google Scholar 

  8. Ding, H., Li, Z., Wei, B.: (k, n) halftone visual cryptography based on Shamir’s secret sharing. J. China Univ. Posts Telecommun. 25(2), 60–76 (2018)

    Google Scholar 

  9. Song, W., Lu, Y., Yan, X., Wang, Y., Chang, C.: Visual secret sharing scheme for (k, n) threshold based on QR code with multiple decryptions. J. Real-Time Image Process. 14(9), 1–16 (2017)

    Google Scholar 

  10. Liu, Y., Chang, C.C.: A turtle shell-based visual secret sharing scheme with reversibility and authentication. Multimedia Tools Appl. 77(3), 1–16 (2018)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yang Xiao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xiao, Y. (2020). Vision Sharing Method of Network Robot Based on Deep Learning. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1146. Springer, Cham. https://doi.org/10.1007/978-3-030-43306-2_28

Download citation

Publish with us

Policies and ethics