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Unmanned Forklift Docking Using Two Cameras
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 Title & Authors
Unmanned Forklift Docking Using Two Cameras
Yi, Sang-Jin; Song, Jae-Bok;
An unmanned forklift requires precise positioning and pallet detection. Therefore, conventional unmanned forklifts use high-cost sensors to find the exact position of the pallet. In this study, a docking algorithm with two cameras is proposed. The proposed method uses vision data to extract the angle difference between the pallet and the forklift. Then the control law is derived from the extracted angle for successful docking. The extracted angle is compared with the actual angle in the real environment. The control law is tested with the Lyapunov stability test and Routh-Hurwitz stability criterion. Through various experiments, the proposed docking algorithm showed the success rate high enough for real-life applications.
unmanned forklift;docking system;vision based control;
 Cited by
A. Correa, M. R. Walter, L. Fletcher, J. Glass, S. Teller, and R. Davis, "Multimodal interaction with an autonomous forklift," 2010 5th ACM/IEEE Int. Conf. on. Human-Robot Interaction, pp. 243-250, 2010.

T. A. Tamba, B. Hong, and K. S. Hong. "A path following control of an unmanned autonomous forklift," Int. Journal of Control, Automation and Systems, vol. 7, no. 1, pp. 113-122, 2009. crossref(new window)

S. G. Roh, J. H. Song, Y. K. Song, K. W. Yang, M. S. Choi, H. S. Kim, H. G. Lee, and H. R. Choi, "Flexible docking mechanism with error-compensation capability for auto recharging system," The Journal of Korea Robotics Society, vol. 2, no. 4, pp. 289-296, 2007.

K. Roufas, Y. Zhang, D. Duff, and M. Yim, "Six degree of freedom sensing for docking using IR LED emitters and receivers," Experimental Robotics VII, pp. 91-100, 2001.

D. Lecking, O. Wulf, and B. Wagner, "Variable pallet pick-up for automatic guided vehicle in industrial environments," IEEE Conf. on Emerging Technologies and Factory Automation, pp. 1169-1174, 2006.

G. Garibotto, S. Masciangelo, and P. Bassino, and C. Coelho, "Industrial exploitation of computer vision in logistic automation: autonomous control of an intelligent forklift truck," IEEE Int. Conf. on Robotics and Automation, vol. 2, pp. 1459-1464, 1998.

J. Pages, X. Armangue, J. Salve, J. Freixenet, and J. Marti, "A computer vision system for autonomous forklift vehicles in industrial environments," 9th Mediterranean Conf. on Control and Automation, 2001.

Y. H. Song, J. H. Park, K. C. Lee, and S. Lee, "Network-based distributed approach for implementation of an unmanned autonomous forklift," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19, no. 9, pp. 898-904, 2010.

B. W. Minten, R. R. Murphy, J. Hyams, and M. Micire, "Loworder-complexity vision-based docking," IEEE Trans. on Robotics and Automation, vol. 17, no. 6, pp. 922-930. 2001. crossref(new window)

Y. Kanayama, Y. Kimura, F. Miyazaki, and T. Noguchi, "A stable tracking control method for an autonomous mobile robot," IEEE Int. Conf. on Robotics and Automation, vol. 1, pp. 382-389, 1990.

M. P. Cheng and C. C. Tsai, "Dynamic modeling and tracking control of a nonholonomic wheeled mobile manipulator with two robotic arms," 42nd IEEE Conf. on Decision and Control, vol. 3, pp. 2932-2937, 2003.

M. T. Ho, A. Datta, and S. P. Bhattacharyya, "An elementary derivation of the Routh-Hurwitz criterion," IEEE Trans. on Automatic Control, vol. 43, no. 3, pp. 405-409, 1998. crossref(new window)