Fast and Robust Vision System for Shogi Robot

Gou Koutaki; Keiichi Uchimura

doi:10.20965/jrm.2015.p0182

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JRM Vol.27 No.2 pp. 182-190

doi: 10.20965/jrm.2015.p0182

(2015)

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Fast and Robust Vision System for Shogi Robot

Gou Koutaki and Keiichi Uchimura

Kumamoto University
2-39-1 Kurokami, Kumamoto 860-8555, Japan

Received:

September 24, 2014

Accepted:

December 28, 2014

Published:

April 20, 2015

Keywords:

shogi robot, arm picking, multi-class pattern recognition

Abstract

Developed shogi robot system

The authors developed a low-cost, safety shogi robot system. A Web camera installed on the lower frame is used to recognize pieces and their positions on the board, after which the game program is played. A robot arm moves a selected piece to the position used in playing a human player. A fast, robust image processing algorithm is needed because a low-cost wide-angle Web camera and robot are used. The authors describe image processing and robot systems, then discuss experiments conducted to verify the feasibility of the proposal, showing that even a low-cost system can be highly reliable.

Cite this article as:

G. Koutaki and K. Uchimura, “Fast and Robust Vision System for Shogi Robot,” J. Robot. Mechatron., Vol.27 No.2, pp. 182-190, 2015.

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References

[1] Japan Productivity Center, Leisure Research 2011.
[2] T. Kurita, M. Miwa, and T. Chikayama, “Automatic position recognition method using image information in shogi,” IPSJ Game Programming Workshop’07, 2007.
[3] T. Takayanagi and M. Takahashi, “Automatic Generation System of Shogi Record Using a Camera Set Obliquely Upward,” Proc. of the 2009 IEICE Society Conf., 2009.
[4] F. Groen, G. Boer, A. Inge, and R. Stam, “A chess playing robot: lab course in robot sensor integration,” Proc. of IEEE Instrumentation and Measurement Technology Conf., pp. 261-264, 1992.
[5] D. Urting and Y. Berbers, “MarineBlue: A Low-Cost Chess Robot,” Proc. of the IASTED Int. Conf. on Robotics and Applications, pp. 76-81, 2003
[6] A. Reinefeld, “An Improvement to the Scout Tree-Search Algorithm,” ICCA J., Vol.6, No.4, pp. 4-14, 1983.
[7] H. Kaindl, “Dynamic Control of the Quiescence Search in Computer Chess,” Cybernetics and Systems Research, pp. 973-977, 1982.
[8] D. I. Barnea and H. F. Silverman, “A class of algorithms for fast digital image registration,” IEEE Trans. Comput., pp. 179-186, 1972.
[9] J. Fairbairn, “Shogi for Beginners,” 1984.

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

[1] [1] Japan Productivity Center, Leisure Research 2011.

[2] [2] T. Kurita, M. Miwa, and T. Chikayama, “Automatic position recognition method using image information in shogi,” IPSJ Game Programming Workshop’07, 2007.

[3] [3] T. Takayanagi and M. Takahashi, “Automatic Generation System of Shogi Record Using a Camera Set Obliquely Upward,” Proc. of the 2009 IEICE Society Conf., 2009.

[4] [4] F. Groen, G. Boer, A. Inge, and R. Stam, “A chess playing robot: lab course in robot sensor integration,” Proc. of IEEE Instrumentation and Measurement Technology Conf., pp. 261-264, 1992.

[5] [5] D. Urting and Y. Berbers, “MarineBlue: A Low-Cost Chess Robot,” Proc. of the IASTED Int. Conf. on Robotics and Applications, pp. 76-81, 2003

[6] [6] A. Reinefeld, “An Improvement to the Scout Tree-Search Algorithm,” ICCA J., Vol.6, No.4, pp. 4-14, 1983.

[7] [7] H. Kaindl, “Dynamic Control of the Quiescence Search in Computer Chess,” Cybernetics and Systems Research, pp. 973-977, 1982.

[8] [8] D. I. Barnea and H. F. Silverman, “A class of algorithms for fast digital image registration,” IEEE Trans. Comput., pp. 179-186, 1972.

[9] [9] J. Fairbairn, “Shogi for Beginners,” 1984.