Haptic texture generation using stochastic models and teleoperation

  • Young-Woo Nam
  • Tae-Jeong Jang
  • Mandayam A. Srinivasan
Regular Paper Robotics and Automation

Abstract

In this paper, a method is suggested to generate haptic textures for isotropic surfaces using stochastic models. A Master-Slave tele-haptic system was realized by using two PHANToMs. Moving the stylus of the Master PHANToM by a user caused the Slave to scratch the surface of objects such as sandpaper or printing paper. Force data, generated by using the error between the Master and the Slave positions, were recorded and served as measures of the texture of the object in the remote environment. An estimate of haptic texture was obtained after a simple dynamic compensation of the force data. The haptic texture was modeled using a filter that was designed by analyzing the power-spectrum of estimated texture data. By passing White Gaussian Noise through the filter, virtual texture data could be generated. The forces corresponding to the virtual texture and the real texture by teleoperation were individually delivered through the Master PHANToM to users who were asked to identify or discriminate the corresponding textures. The users’ responses show that the virtual modeled textures were quite similar to the real ones.

Keywords

Haptics stochastic model teleoperation texture generation 

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References

  1. [1]
    M. A. Srinivasan and C. Basdogan, “Haptics in virtual environments: taxonomy, research status and challenges,” Comp. Graphics, vol. 21, no. 4, pp. 393–404, 1997.CrossRefGoogle Scholar
  2. [2]
    M. C. Lin and M. A. Otaduy, Haptics Rendering foundations, Algorithms, and Applications, A K Peters, 2008.Google Scholar
  3. [3]
    Y. Ikei, K. Wakamatsu, and S. Fukuda, “Texture presentation by vibratory tactile display,” Proc. of IEEE Annual Virtual Reality International Symposium, pp. 199–205, 1997.Google Scholar
  4. [4]
    Y. Ikei, K. Wakamatsu, and S. Fukuda, “Image data transformation for tactile texture display,” Proc. of IEEE Annual Virtual Reality International Symposium, pp. 51–58, 1998.Google Scholar
  5. [5]
    M. Shinohara, Y. Shimizu, and A. Mochizuki, “Three-dimensional tactile display for the blind,” IEEE Trans. on Rehabilitation Engineering, vol. 6, no. 3, pp. 249–256, 1998.CrossRefGoogle Scholar
  6. [6]
    K.-U. Kyung, M. Ahn, D.-S. Kwon, and M. A. Srinivasan, “A compact planar distributed tactile display and effects of frequency on texture judgment,” Advanced Robotics, vol. 20, no. 5, pp. 563–580, 2006.CrossRefGoogle Scholar
  7. [7]
    K.-U. Kyung, J.-Y. Lee, J. Park, and M. A. Srinivasan, “wUbi-Pen: sensory feedback stylus interacting with graphical user interface,” Presence: Teleoperators and Virtual Environments, vol. 21, no. 2, pp. 142–155, 2012.Google Scholar
  8. [8]
    M. Minsky, Computational Haptics: The Sandpaper System for Synthesizing Texture for a Forcefeedback Display, Ph.D. thesis, Program in Media Arts and Sciences, MIT, 1995.Google Scholar
  9. [9]
    J. Siira and D. K. Pai, “Haptic texturing-a stochastic approach,” Proc. IEEE International Conference on Robotics and Automation, pp. 557–562, 1996.Google Scholar
  10. [10]
    D. F. Green and J. K. Salisbury, “Texture sensing and simulation using the PHANToM: Toward remote sensing of soil properties,” Proc. of the 2nd PHANToM Users Group Workshop. Cambridge, MA, pp. 19–22, 1997.Google Scholar
  11. [11]
    J. P. Fritz and K. E. Barner, “Stochastic models for haptic texture,” Proc. of SPIE International Symposium on Intelligent Systems and Advanced Manufacturing, pp. 34–44, 1996.Google Scholar
  12. [12]
    C. Ho, C. Basdogan, and M. A. Srinivasan, “Efficient point-based rendering techniques for haptic display of virtual objects,” Presence: Teleoperators and Virtual Environments, vol. 8, no. 5, pp. 477–491, 1999.CrossRefGoogle Scholar
  13. [13]
    J. F. Blinn, “Simulation of wrinkled surfaces,” Proc. SIGGRAPH, Computer Graphics, vol. 12, no. 3, pp. 286–292, 1978.CrossRefGoogle Scholar
  14. [14]
    V. Theoktisto and M Fairén, I. Navazo, and E. Monclús, “Rendering detailed haptic textures,” Proc. of Workshop on Virtual Reality Interaction and Physical Simulation, 2005.Google Scholar
  15. [15]
    J. Wu, A. Song, and C. Zou, “A novel haptic texture display based on image processing,” Proc. of the IEEE International Conference on Robotics and Biomimetics, pp. 1315–1320, 2007.Google Scholar
  16. [16]
    W. Adi and S. Sulaiman, “Haptic texture rendering based on visual texture information: a study to achieve realistic haptic texture rendering,” Lecture Notes in Computer Science, vol. 5857, pp. 279–287, 2009.CrossRefGoogle Scholar
  17. [17]
    H. Vasudevan and M. Manivannan, “Tangible images: runtime generation of haptic textures from images,” Proc. of Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, pp. 357–360, 2008.Google Scholar
  18. [18]
    J. M. Romano and K. J. Kuchenbecker, “Creating realistic virtual textures from contact acceleration data,” IEEE Trans. on Haptics, vol. 5, no. 2, pp. 109–119, 2012.CrossRefGoogle Scholar
  19. [19]
    V. L. Guruswamy, J. Lang, and W.-S. Lee, “IIR filter models of haptic vibration textures,” IEEE Trans. on Instrumentation and Measurement, vol. 60, no. 1, pp. 93–103, 2011.CrossRefGoogle Scholar
  20. [20]
    J. Lang and S. Andrews, “Measurement-based modeling of contact forces and textures for haptic rendering,” IEEE Trans. on Visualization and Computer Graphics, vol. 17, no. 3, pp. 380–391, 2011.CrossRefGoogle Scholar
  21. [21]
    V. K. Ingle and J. G. Proakis, Digital Signal Processing Using MATLAB Math Works, 2007Google Scholar

Copyright information

© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Young-Woo Nam
    • 1
  • Tae-Jeong Jang
    • 1
  • Mandayam A. Srinivasan
    • 2
    • 3
  1. 1.Department of Electronic and Communication EngineeringKangwon National UniversityChuncheonKorea
  2. 2.Touch Lab, Department of Mechanical Engineering and Research Laboratory of ElectronicsMassachusetts Institute of TechnologyCambridgeUSA
  3. 3.Department of Computer ScienceUniversity College LondonLondonUK

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