iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://doi.org/10.20965/jrm.2009.p0780
JRM Vol.21 p.780 (2009) | Fuji Technology Press: academic journal publisher
Top > JRM > An Optical Tactile Sensor Assuming Cubic Polynomial Deformatio ...

single-rb.php

JRM Vol.21 No.6 pp. 780-788
doi: 10.20965/jrm.2009.p0780
(2009)

Paper:

Views over last 60 days: 504

An Optical Tactile Sensor Assuming Cubic Polynomial Deformation of Elastic Body

Kiyoshi Hoshino*, Daisuke Mori**, and Motomasa Tomida*

*Graduate School of Systems and Information Engineering, University of Tsukuba 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan

**Sharp Corporation 1-9-2 Nakase, Mihama-ku, Chiba 261-8520, Japan

Received:
April 19, 2009
Accepted:
September 30, 2009
Published:
December 20, 2009
Creative Commons License
Keywords:
optical tactile sensor, elastic body, cubic polynomial deformation, 3D force information
Abstract
Assuming that the elastic body makes cubic polynomial deformation, we propose a compact three-dimensional (3D) optical tactile sensor for high-speed detection of three-axial directional force components. We constructed a 3D tactile sensor using thin, soft elastic and without pattern delineation or pigment injection such as that used in light-section measurement but having wider dynamic ranges and higher resolution. Conventional light-section measurement irradiating light onto sheets to measure objects requires a huge construction of the optical tactile sensor. Light-emitting diode (LED) sources are arranged around thin, deformable elastic membrane to obtain 3D force components from two-dimensional (2D) camera images taken using light sources of a minimum number of depth layers. Using two LED light sources - red and blue - around an elastic body, we estimate an object contact point pressing the elastic body and force magnitude and force incidence angle based on a mapping relationship predetermined through neural network learning from four ellipsoids formed by light irradiation and major and minor axis intersection points. To confirm that the elastic body forms cubic polynomial concavities at the point to rubber edges where force is applied based on X-, Y-, and Z-axes force components, we photographed elastic deformation and fitted curves into cubic polynomial expressions to investigate fitting accuracy. Fitting accuracy confirmed that cubic polynomials may reasonably approximate elastic deformation. We found that fitting curves onto cubic polynomials required two intersection points in addition to each edge of contact point and each of rubber edge point. Two is the minimum number of light sources required for irradiation. Experiments with this optical tactile sensor confirmed it to be effective in accurately estimating 3D elastic deformation, the object contact point, force magnitude, and force incidence angle.
Cite this article as:
K. Hoshino, D. Mori, and M. Tomida, “An Optical Tactile Sensor Assuming Cubic Polynomial Deformation of Elastic Body,” J. Robot. Mechatron., Vol.21 No.6, pp. 780-788, 2009.
Data files:
References
  1. [1] K. Kamiyama, H. Kajimoto, N. Kawakami, and S. Tachi, “Evaluation of a vision-based tactile sensor,” Proc. 2004 IEEE Int. Conf. Robotics and Automation, pp. 1542-1547, 2004.
  2. [2] N. Moriyama, H. Miura, G. Obinata, J. Nakayama, K. Hase, and K. Oka, “Multl-dimensional tactile sensor for force reflection,” Proc. Japan Society of Me-chanical Engineers, Tokai Chap. Conf., 53, pp. 259-260, 2004 (in Japanese).
  3. [3] M. Ohka, Y. Mitsuya, I. Higashioka, and H. Kabeshita, “An experimental optical three-axis tactile sensor for micro-robots,” Robotica, 23, pp. 457-465, 2005.
  4. [4] T. Hoshi and H. Shinoda, “A large area robot skin based on cell-bridge system,” Proc. 5th IEEE Conf. on Sensors (IEEE SENSORS 2006), pp. 827-830, 2006.
  5. [5] E. Tamaki and K. Hoshino, “A model for strain and external force in elastic tactile sensor,” IEICE Technical Report PRMU, PRMU2007-80, 107, 206, pp. 203-206, 2007.
  6. [6] S. Begej, “An optical tactile array sensor,” SPIE Intelli-gent Robotics and Computer Vision, 521, pp. 271-280, 1984.
  7. [7] S. Saga, H. Kajimoto, and S. Tachi, “High-resolution tactile sensor using the deformation of a reflection image,” Sensor Review, 27, pp. 35-42, 2007.
  8. [8] Y. Miyamoto, and K. Sekimoto, “Effects of deformation on the viscoelasticity of rubber,” Proc. American Institute of Physics (AIP) Conf., 832, pp. 173-175, 2006.
  9. [9] K. Hoshino and D. Mori, “Three-dimensional tactile sensor with thin and soft elastic body,” IEEE Int. Conf. on Advanced Robotics and its Social Impacts (ARSO 2008), TPC1, pp. 1-6, 2008.

Creative Commons License  This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

Copyright© 2009 by Fuji Technology Press Ltd. and Japan Society of Mechanical Engineers. All right reserved.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Dec. 13, 2024