Recognition of the Center Position of Bolt Hole in the Stand of Insulator Using Multilayer Neural Network

다층 뉴럴네트워크를 이용한 애자 스탠드에서의 볼트 구멍의 중심위치 인식

  • 안경관 (울산대학교 기계자동차공학부) ;
  • 표성만 (울산대학교 기계자동차공학부)
  • Published : 2003.04.01


Uninterrupted power supply has become indispensable during the maintenance task of active electric power lines as a result of today's highly information-oriented society and increasing demand of electric utilities. The maintenance task has the risk of electric shock and the danger of falling from high place. Therefore it is necessary to realize an autonomous robot system. In order to realize these tasks autonomously, the three dimensional position of target object such as electric line and the stand of insulator must be recognized accurately and rapidly. The approaching of an insulator and the wrenching of a nut task is selected as the typical task of the maintenance of active electric power distribution lines in this paper. Image recognition by multilayer neural network and optimal target position calculation method are newly proposed in order to recognize the center 3 dimensional position of the bolt hole in the stand of insulator. By the proposed image recognition method, it is proved that the center 3 dimensional position of the bolt hole can be recognized rapidly and accurately without regard to the pose of the stand of insulator. Finally the approaching and wrenching task is automatically realized using 6-link electro-hydraulic manipulators.


  1. M. Nakashima, H. Yano, Y. Maruyama, K. Yano, K. Morita and H. Nakagaki, 'Application of Semi-Automatic Robot Technology on Hot-Line Maintenance Task', Proc. of the 1995 IEEE Int. Conf. on R&A, pp. 843-850, 1995
  2. M. Nakashima, Y. Maruyama, K Yano and H. Yano, 'The Hot-Line Work Robot System' Phase II' and Its Human-Robot Interface 'MOS', Proc. of the 1995 IEEE Int. Conf. on R&A, pp. 116-123, 1995
  3. M. Boyer, 'System Integration in Telerobotics: (Case Study: Maintenance of Electric Power Lines', Proc. of the 1996 IEEE Int. Conf. on R&A, pp. 1042-1047, 1996
  4. M. Mukaida, Y. Yamura, T. Yoshimi, Y. Asari and H. Sato, 'Task Planning Experiment toward an Autonomous Robot System for the construction of Overhead Distribution Line', Proc. of the 1995 IEEE Int. Conf. on R&A, pp. 448-455, 1995
  5. 안경관, 양순용, 'Force Control of one Pair of 6-Link Electro-Hydraulic Manipulators', 제어 ? 자동화 ? 시스템 공학 논문지, 제 8 권, 제 1 호, pp. 1-6, 2002
  6. P. J. Besl and N. D. McKay, 'A method for registration of 3-D shapes', IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 14, no. 2, pp. 239-256, 1992
  7. Z. Zhang, 'Iterative point matching for registration of free-form curves and surfaces', International Journal of Computer Vision, vol. 13, no. 2, pp. 119-152, 1994
  8. R. M. Haralick, H. Joo, C.-N. Lee, X. Zhuang, V. G. Vaidya, and M. B. Kim, 'Pose estimation from corresponding point data', IEEE Transactions on Systems, Man, and Cybernetics, vol. 19, no. 6, pp. 1426-1446, 1992
  9. M. A. Fischler and R. C. Bolles, 'Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography', Communications of the ACM, vol. 24, no. 6, 1981
  10. P. Meer, D. Mintz and A. Rosenfeld, 'Robust regression methods for computer vision: a review', International Journal of Computer Vision, vol. 6, no.1 , pp. 59-70, 1991
  11. 金出,木材: 'どデオレト · ステレオマシン', 日本ロボット學會誌, vol. 13, no. 3, pp. 322-326, 1995
  12. 船田,金寺,田中: '2進符號を敎師信號たもつ階層型ニュ-ラルホットワ-クの學習, 電子情報通信學會論文集D-II, vol. J73-D-II, no. 9, pp. 1574-1577, 1990
  13. 安久, 佐藤 : '相關法 たょる 特微?出を 前處理たもつュ-ラルハタ-ン認識システムの 提案', 電子情報通信學會論文集 D-II, vol.J74-D-II, no. 4, pp. 575-579, 1991
  14. 易, 黑木, 松岡: '誤差逆 傳播法たょる位置ずれハタ-ンの學習,' 電子情報通信學會論文集 D-II, vol. J74-D-II, no. 1, pp. 27-35, 1991