Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-26T01:03:10.756Z Has data issue: false hasContentIssue false
  • English
  • Français

Tactile recognition of solid objects

Published online by Cambridge University Press:  09 March 2009

M. Mehdian  and
D. Thomas
M. Mehdian
Affiliation:
Robotics and Machine Intelligence Group, School of Engineering, University of Greenwich, Woolwich, London SE18 6PF(UK)
D. Thomas
Affiliation:
Department of Computing and Mathematics, South Bank University, Borough Road, London SE1 OAA (UK)
Get access Rights & Permissions [Opens in a new window]

Summary

An algorithm is presented for the recognition of a set of prototype, solid objects. Cost estimate and simulation results suggest that the algorithm would provide rapid recognition of the objects over a greater range of horizontal, vertical and rotational errors, in the position of the object than is likely to be encountered in practice.

Keywords

Tactile recognitionAlgorithmSolids
Type
Articles
Information
Robotica , Volume 13 , Issue 2 , March 1995 , pp. 169 - 175
Copyright
Copyright © Cambridge University Press 1995

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Refrences

1.Ozaki, H., Waku, S. and Mohri, A., “Pattern recognition of a grasped object by unit vector distribution” IEEE Trans. Sys. Man., Cyber. 12(3), 315–324 (1982).CrossRefGoogle Scholar
2.Kinashita, G., “Feature extraction of grasped object's shape by the artificial hand with tactile sensors”. 14, No. 1, 90–96 (1978).Google Scholar
3.Kinoshita, G. and Hattori, K., “Tactile sensor design and tactile sensing on 3-D objects” Proc. Int. Symp on Design and Synthesis (1985) pp. 338–345.Google Scholar
4.Mehdian, M. and Rahnejat, H., “A tactile sensor with automatic learning capability for industrial parts inspection”. Int. J. Advanced Manufacturing Technology, 2(4), 11–26 (1987).CrossRefGoogle Scholar
5.Overton, K.J. and Williams, T., “ Tactile sensation for robots” 7th Int. Joint Conf. Artificial Intelligence, Vancouver, Canada(1981) pp. 791–795.Google Scholar
6.Mehdian, A. and Hall, A.R., “An intelligent tactile sensory feedback system for 3-D scene analysis” 4th Int. Joint. Conf. on Mechanical Engineering Working Technology, Cairo, Egypt(March, 1989) pp. 124–129.Google Scholar
7.Mehdian, M. and Rahnejat, H., “A sensory gripper using tactile sensors for object recognition, orientation control and stable manipulation” IEEE Trans on Systems, Man and Cybernetics 19, No. 5, 1250–1251 (1989).CrossRefGoogle Scholar
8.Walsh, J. L., “A closed set of orthogonal functions” Am. J. Math. 45, 5–24 (1923).CrossRefGoogle Scholar
9.Paley, R.E.A.C., “An orthogonal matrices” I Math. phys. 12, 311–320, (1933).CrossRefGoogle Scholar
10.Henderson, K.W., “Some notes on Walsh Functions” IEEE Trans. Electronic Computers EC13. 50–52 (02, 1964).CrossRefGoogle Scholar
11.Hadamard, J., “Resolution d’one question relative aux determinants” Bull. Sci. Math. Ser. 2 12, part 1, 240–246 (1893).Google Scholar
12.Fine, N.J., “On the Walsh functions” Trans Am. Math. Soc. 65, 372–414 (1949).CrossRefGoogle Scholar
13.Fine, N.J., “The generalised Walsh functions” Trans. Am. Maths. Soc. 69, 66–77 (1950).CrossRefGoogle Scholar
14.Morgenthaler, G.W., “On Walsh-Fourier Series” Trans. Am. Math. Soc. 84, 472–507 (1957).CrossRefGoogle Scholar
15.Boothroyd, G. and Dewhurst, P., “Parts presentation and feeding for robot assembly” Annal. C.I.R.P. 31, 377–381 (1982).Google Scholar