Skip to main content

Research on Mixed Reality Visual Augmentation Method for Teleoperation Interactive System

  • Conference paper
  • First Online:
Virtual, Augmented and Mixed Reality (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14027))

Included in the following conference series:

Abstract

Highly intelligent teleoperated robots are playing an increasingly important role in high-risk tasks. This paper proposed a teleoperation vision enhancement method in mixed reality scenarios, aiming at the problems of poor interactive telepresence at the control terminal of the teleoperation system and the difficulty for the operator to obtain real experience. By building the video stream transmission based on this method, the researchers realized the real-time presentation of the remote scene. This research carried out the interface visualization of the mixed reality visual enhancement interactive system by analyzing the target requirements in the teleoperation interaction task and improved the interactive control strategy in the mixed reality scene. This teleoperation interactive system effectively solves the problem of synchronous reproduction of remote operation scenes, improves operators’ interaction efficiency and accuracy, and verifies the advantages and application prospects of mixed reality display technology.

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 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
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. Tachi, S., Inoue, Y., Kato, F.: TELESAR VI: telexistence surrogate anthropomorphic robot VI. Int. J. Hum. Rob. 17(5), 1–33 (2020)

    Google Scholar 

  2. Han, L., Zheng, T., Zhu, Y., et al.: Live semantic 3D perception for immersive augmented reality. IEEE Trans. Vis. Comput. Graph. 26(5), 2012–2022 (2020)

    Article  Google Scholar 

  3. Kastner, L., Lambrecht, J.: Augmented-reality-based visualization of navigation data of mobile robots on the Microsoft HoloLens - possibilities and limitations. In: IEEE Conference on Cybernetics and Intelligent Systems, Robotics, Automation and Mechatronics. IEEE (2019)

    Google Scholar 

  4. Kent, D., Saldanha, C., Chernova, S.: Leveraging depth data in remote robot teleoperation interfaces for general object manipulation. Int. J. Robot. Res. 39(1), 39–53 (2020)

    Article  Google Scholar 

  5. Shin, M., Lee, S., Song, S.W., et al.: Enhancement of perceived body ownership in virtual reality-based teleoperation may backfire in the execution of high-risk tasks. Comput. Hum. Behav. 115(52), 1–11 (2021)

    Google Scholar 

  6. Wang, B., Zhang, R., Xi, C., et al.: Virtual and real-time synchronous interaction for playing table tennis with holograms in mixed reality. Sensors 20(17), 4857 (2020)

    Article  Google Scholar 

  7. Puri, N., Alsadoon, A., Prasad, P.W.C., et al.: Mixed reality using illumination-aware gradient mixing in surgical telepresence: enhanced multi-layer visualization. Multimed. Tools Appl. 81(1), 1153–1178 (2022)

    Article  Google Scholar 

  8. Fang, D., Xu, H., Yang, X., et al.: An augmented reality-based method for remote collaborative real-time assistance: from a system perspective. Mob. Netw. Appl. 25, 412–425 (2020)

    Article  Google Scholar 

  9. Delmerico, J., Poranne, R., Bogo, F., et al.: Spatial computing and intuitive interaction: bringing mixed reality and robotics together. IEEE Robot. Autom. Mag. 29(1), 45–57 (2022)

    Article  Google Scholar 

  10. Ho, S., Liu, P., Palombo, D.J., et al.: The role of spatial ability in mixed reality learning with the HoloLens. Anat. Sci. Educ. (2021)

    Google Scholar 

  11. Malaweera, A., Jogi, R., Wright, M., et al.: A mixed-reality holographic viewing platform enabling interaction with 3D electroanatomical maps using the HoloLens. Eur. Heart J. (2021)

    Google Scholar 

  12. Hu, F., Deng, Y., Zhou, H., et al.: A vision of an XR-aided teleoperation system toward 5G/B5G. IEEE Commun. Mag. IEEE 59(1), 34–40 (2021)

    Article  Google Scholar 

  13. Sakr, M., Uddin, W., Loos, H.F.M.V.D.: Orthographic vision-based interface with motion-tracking system for robot arm teleoperation: a comparative study, pp. 424–426 (2020)

    Google Scholar 

  14. George, J.T., George, M.J.: Human-Computer Interaction Research and Development, pp. 287–300 (2022)

    Google Scholar 

  15. Muoz, A., Mahiques, X., Solanes, J.E., et al.: Mixed reality-based user interface for quality control inspection of car body surfaces. J. Manuf. Syst. 53, 75–92 (2019)

    Article  Google Scholar 

  16. Lewis, J.R.: The system usability scale: past, present, and future. Int. J. Hum.-Comput. Interact. 34(9), 577–590 (2018)

    Article  Google Scholar 

  17. Hart, S.G., Staveland, L.E.: Development of NASA-TLX (Task Load Index): results of empirical and theoretical research. Adv. Psychol. 52(6), 139–183 (1988)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to XiaoLing Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Shi, Y., Li, X., Wang, L., Cheng, Z., Mo, Z., Zhang, S. (2023). Research on Mixed Reality Visual Augmentation Method for Teleoperation Interactive System. In: Chen, J.Y.C., Fragomeni, G. (eds) Virtual, Augmented and Mixed Reality. HCII 2023. Lecture Notes in Computer Science, vol 14027. Springer, Cham. https://doi.org/10.1007/978-3-031-35634-6_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-35634-6_35

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35633-9

  • Online ISBN: 978-3-031-35634-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics