Abstract
The goal of this paper was to accomplish a technical challenge of double passing soccer game for humanoid soccer robots in RoboCup competition. Using only a vision sensor, the control strategies for the technical challenges of humanoid league in RoboCup are designed and presented. The vision system includes the color space setting, the object recognition, a simplified mean shift algorithm, and the target position derivation. Vision system works on the tasks of object recognition, which includes the goal, landmark poles, and the interval of two black poles. The computational time is reduced greatly by the mean shift algorithm and that time can be utilized to do other control strategies. With the proposed control strategies, humanoid robots can successfully complete the RoboCup double passing task. The successful experiment results demonstrate the feasibility and effectiveness of the proposed foot–eye coordination control scheme.
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References
Stiefelhagen, R., Ekenel, H.K., Fugen, C., Gieselmann, P., Holzapfel, H., Kraft, F., Nickel, K., Voit, M., Waibel, A.: Enabling multimodal human-robot interaction for the Karlsruhe humanoid robot. IEEE Trans. Robot. 23, 840–851 (2007)
Spexard, T.P., Hanheide, M., Sagerer, G.: Human-oriented interaction with an anthropomorphic robot. IEEE Trans. Robot. 23, 852–862 (2007)
Lee, J.M., Choi, J.S., Lim, Y.S., Kim, H.S., Park, M.: Intelligent and active system for human-robot interaction based on sound source localization. In: Proceedings of International Conference on Control, Automation and Systems, ICCAS, pp. 2738–2741 (2008)
Rivera-Bautista, J.A., Ramirez-Hernandez, A.C., Garcia-Vega, V.A., Marin-Hernandez, A.: Modular control for human motion analysis and classification in human-robot interaction. In: Proceedings of 5th ACM/IEEE International Conference on Human-Robot Interaction, HRI, pp. 169–170 (2010)
Su, Y.-T., Chong, K.-Y., Li, T.-H.S.: Design and implementation of fuzzy policy gradient gait learning method for walking pattern generation of humanoid robots. Int. J. Fuzzy Syst. 13(4), 369–382 (2011)
Li, T.-H.S., Su, Y.-T., Lai, S.-W., Hu, J.-J.: Walking motion generation, synthesis, and control for biped robot by using PGRL, LPI and fuzzy logic. IEEE Trans. Syst. Man, Cybern. B 41(3), 736–748 (2011)
Kuo, P.-H., Ho, Y.-F., Lee, K.-F., Tai, L.-H., Li, T.-H.S.: Development of humanoid robot simulator for gait learning by using particle swarm optimization. In: Proceedings of 2013 IEEE International Conference on System, Man, Cybernetics, pp. 2683–2688 (2013)
Hong, Y.-D., Park, C.-S., Kim, J.-H.: Stable bipedal walking with a vertical center-of-mass motion by an evolutionary optimized central pattern generator. IEEE Trans. Ind. Electron. 61(5), 2346–2355 (2014)
Li, T.-H.S., Kuo, P.-H., Ho, Y.-F., Kao, M.-C., Tai, L.-H.: A biped gait learning algorithm for humanoid robots based on environmental impact assessed artificial bee colony. IEEE Access. 3, 13–26 (2015)
RoboCup. http://www.robocup.org/
Pooransingh, A., Radix, C.A., Kokaram, A.: The path assigned mean shift algorithm: a new fast mean shift implementation for colour image segmentation. In: Proceedings of 15th IEEE International Conference on Image Processing, ICIP, pp. 597–600 (2008)
Wang, H., Yang, B., Tian, G., Men, A.: Object tracking by applying mean-shift algorithm into particle filtering. In: Proceedings of 2nd IEEE International Conference on Broadband Network and Multimedia Technology, IC-BNMT, pp. 550–554 (2009)
Li, Y.H., Pang, Y.G., Li, Z.X., Liu, Y.L.: An intelligent tracking technology based on Kalman and mean shift algorithm. In: Proceedings of Second International Conference on Computer Modeling and Simulation, ICCMS, pp. 107–109 (2010)
Yafeng, Y., Hong, M.: Adaptive mean shift for target-tracking in FLIR imagery. In: Proceedings of Wireless and Optical Communications Conference, WOCC, pp. 1–3 (2009)
Liu, Y., Peng, S.: A new motion detection algorithm based on snake and mean shift. In: Proceedings of Congress on Image and Signal Processing, CISP, pp. 140–144 (2008)
Su, Y.T., Hu, C.Y., Li, T.H.S.: FPGA-based fuzzy PK controller and image processing system for small-sized humanoid robot. In: Proceedings of IEEE International Conference on Systems, Man and Cybernetics, SMC, pp. 1039–1044 (2009)
Acknowledgment
This work supported by Ministry of Science and Technology of Taiwan, R.O.C, under Grants MOST 103-2221-E-006-252, MOST 104-2221-E-006-228-MY2, and the aim for the Top University Project to the National Cheng Kung University (NCKU) is greatly appreciated.
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Kuo, PH., Ho, YF., Wang, TK., Li, TH.S. (2017). Design and Implementation of Double Passing Strategy for Humanoid Robot Soccer Game. In: Kim, JH., Karray, F., Jo, J., Sincak, P., Myung, H. (eds) Robot Intelligence Technology and Applications 4. Advances in Intelligent Systems and Computing, vol 447. Springer, Cham. https://doi.org/10.1007/978-3-319-31293-4_29
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DOI: https://doi.org/10.1007/978-3-319-31293-4_29
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