Skip to main content

Soft Touch Control Strategy of Remote Teaching Based on Force Sensing

  • Chapter
Robotic Welding, Intelligence and Automation

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 362))

  • 8353 Accesses

Abstract

To avoid producing strong collision between the slave robot and workpiece, the soft-force touch control strategy is brought forward by analyzing the dynamics model of the touch force during remote teaching process (RTP). It includes the subsection control strategy of the touch force, and the task self-adapting human-simulation intelligent control (HSIC) touch force. By comparing with the performance of PID controller, the experiment results show that the soft-force touch control strategy can obviously reduce the oscillating scope of touch force, shorten the stabilizing time of touch force, and improve the operated capability of touch force between the remote teaching slave robot and the workpiece

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 149.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Zhao DB, Xiong YL, Huang LL (1995) Automatic Tracking and Modeling of Unknown Environment by A Robot With for Force Control. Robot 17(1):7–12.

    Google Scholar 

  2. Yin YH, Zhu JY (1999) Force Sensing & Control for Intelligent Machine: An Overview. ACTA Aeronautica 20(1):1–7.

    Google Scholar 

  3. Han LL, Ning Y, Bai L (1998) Study on Force Sensing Telepresence System of Stanford Master Manipulator. Journal of Zheng Zhou Institute of Light Industry 13(2):17–20.

    Google Scholar 

  4. Penin LF, Matsumoto K and Wakabayashi S (2000) Force reflection for time-delayed teleoperation of Space robots, Proceedings Of the IEEE International Conference on Robotics and Automation, pp3120–3125.

    Google Scholar 

  5. Rovetta A, Cosmi F and Tosatti L M (1995) Teleoperator response in a touch task with different display conditions, IEEE Tran. on systems, man and cybernetics 25(5):878–881.

    Article  Google Scholar 

  6. Murakami, Tsudoi (1990) Application of off-line teaching system for arc welding robots. Technology Review, pp58–61.

    Google Scholar 

  7. Choi, Myoung Hwan (2000) Force/moment direction sensor and its use for human-robot interface in robot teaching. 2000 IEEE International Conference on Systems, Man and Cybernetics, pp2222–2227.

    Google Scholar 

  8. Makoto J, Michihiro U (1999) Teaching-less Robot System for Finishing Workpieces of Various Shapes Using Force Control and Computer Vision. Proceedings of the 1999 IEEERSJ international Conference on Intelligent Robots and Systems, pp573–578.

    Google Scholar 

  9. Urbano N, Almeida AT (1994) Robot 3D Force-Based Surface-Tacking. Proceedings of the 20th International Conference on Industrial Electronics, Control and Instrumentation, pp788–793.

    Google Scholar 

  10. Hannaford B, Anderson R (1998) Experimental and Simulation Studies of Hard Contact in Force Reflection Teleoperation IEEE Int Conf on Rob and Auto, pp584–589.

    Google Scholar 

  11. Shoji Y, Inaba M, Fukuda T (1990) Stable Contact Force of a Link Manipulator with Collision Phenomena. IEEE Workshop on Intel Rob and Svs, pp501–507.

    Google Scholar 

  12. Xun YQ, Li ZS (1994) Design Method for a Novel Human Simulating Intelligent Controller. ACTA Automatica Sinica 20(5):616–621.

    Google Scholar 

  13. Cheng Z, Yan Wi, Li ZS (2003) NPID controller based on HSIC. Control and Decision 18(6):694–697.

    Google Scholar 

  14. Matsuhira N, Asakura M, Bamba H (1994) Manoeuvra-bility of a master-slave manipulator with different configurations and its evaluation tests.Advanced Robotics 8(2):185–203.

    Article  Google Scholar 

  15. Kammermeier P, Buss M (1999) Multi-model sensory feedback based on a mathematical model of human perception. In: Proc of IEEE/RSJ Int Conf on intelligent Robots and systems, pp1537–1542.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Liu, L.J., Gao, H.M., Zhang, G.J., Wu, L. (2007). Soft Touch Control Strategy of Remote Teaching Based on Force Sensing. In: Tarn, TJ., Chen, SB., Zhou, C. (eds) Robotic Welding, Intelligence and Automation. Lecture Notes in Control and Information Sciences, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73374-4_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-73374-4_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73373-7

  • Online ISBN: 978-3-540-73374-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics