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Research and Development of Ball-Picking Robot Technology

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Intelligent Robotics and Applications (ICIRA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10464))

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Abstract

Apply ball-picking robot in the golf, table tennis, tennis and other small-ball training court can enhance the efficiency of picking up, reduce the operating costs of the stadium, and improve the level of technical service. This paper explores the research of ball-picking robot. Analyzes the research results and application of key technologies in this field, such as navigation and location, path planning and wireless communication. Discusses the trend of intelligent ball-picking robot technology under the background of rapid development of intelligent core technology such as Internet, multi-robot cooperation, machine visual and multi-sensor fusion. The results show that, in addition to golf-picking equipment, the current ball-picking robot technology is still in the primary test stage. The degree of intelligence is still relatively low. There are few achievements can be popularized and applied. The industrial robot in recognition and localization, autonomous navigation, artificial intelligence have a rapid development. They will promote the research on ball-picking intelligent service robot technology. And promote the development of entertainment fitness industry.

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References

  1. de Golfe, F.P.: Estatísticas do golfe (2011), http://portal.fpg.pt/web/guest

  2. Pacheco, L., de Oliveira André, J.B., Ribeiro A.F.: Mobile robot for autonomous golf balls picking. In: Proceedings of the Portuguese Conference on Automatic Control Vila Real, pp. 814–818 (2008)

    Google Scholar 

  3. Ribeiro, F., Moutinho, I., Silva, P., et al.: Mobile robot construction for edutainment application. Revista RobÓTica 69, 12–16 (2007)

    Google Scholar 

  4. Gao, F., Guo, W.: Thinking of the development strategy of robots in China. J. Mech. Eng. 52(7), 1–5 (2016)

    Article  Google Scholar 

  5. Pereira, N., Ribeiro, F., Lopes, G., et al.: Autonomous golf ball picking robot design and development. Ind. Robot. 39(6), 541–550 (2012)

    Article  Google Scholar 

  6. Wang, Z.Y., Liu, Y.L.: Research of the indoor service robot based on zigBee positioning. Appl. Mech. Mater. 734, 179–182 (2015)

    Article  Google Scholar 

  7. The Twelfth “Challenge Cup” National College Students Extracurricular Academic and Technical Works Contest (2011), http://www.tiaozhanbei.net/project/18174/

  8. The Twelfth “Challenge Cup” National College Students Extracurricular Academic and Technical Works Contest (2011), http://www.tiaozhanbei.net/project/12921/

  9. The Twelfth “Challenge Cup” National College Students Extracurricular Academic and Technical Works Contest (2011), http://www.tiaozhanbei.net/project/8437/

  10. Zesheng, X.: Design of tennis ball-picking robot. Mech. Manuf. Autom. 41(2), 140–141 (2012)

    Google Scholar 

  11. Automatic Tennis-Picking Robot (2014), http://v.ku6.com/show/U01F3LT6DQPQ7My80slVVg…html

  12. Jie, C., Fei, M., Libo, N., et al.: A method of finishing based on visual recognition and multi -sensor data fusion. CN201310294142.9. Lanzhou University of Technology (2013)

    Google Scholar 

  13. Automatic Tennis-picking Robot, Michigan College Design Exhibition (2014), http://v.youku.com/v_show/id_XNjg3NjM5MjQ4.html

  14. Tengfei, L., Li, L., Binglin, H., et al.: Development of intelligent tennis ball picking machine. Electron. World 12, 68–69 (2013)

    Google Scholar 

  15. Shijun, S.: Vision-based tennis self-picking method reality. Light Ind. Mach. 34(6), 62–65 (2016)

    Google Scholar 

  16. Yi, Y., Yacheng, L., Xin, Y., et al.: Self-Picking Robot. CN200810183233.4. Beijing Institute of Technology (2012)

    Google Scholar 

  17. Danyang, A.: Configuration and Research of Key Technologies of New Autonomous Seizure Table Tennis Robot. Northeastern University, Shenyang (2008)

    Google Scholar 

  18. Su, S.: A kind of ping pong ball picking robot. CN201410179165.X. Southeast University (2014)

    Google Scholar 

  19. Xu, D.W., Liu, J., Lin, G.: Design and realization of table tennis picking robot. Mach. Tool Hydraulics 42(3), 17–19, 50 (2014)

    Google Scholar 

  20. Badminton Pickup Robot Based on ARM (2016), http://v.ku6.com/show/t5Hy8iwFSAu8bZ3zjZ_GPg…html

  21. Meng, Q., Lee, M.H.: Design issues for the elderly. Adv. Eng. Inform. 20, 171–186 (2006)

    Article  Google Scholar 

  22. Wen, W.Z., Ge, G.: Present situation and future development of mobile robot navigation technology. Robot 25(5), 470–474 (2003)

    MathSciNet  Google Scholar 

  23. Zheng, X., Xiong, R.: The technologies of mobile robot navigation and location. Electr. Mech. Eng. 20(5), 35–37 (2003)

    Google Scholar 

  24. Barawid Jr., O.C., Mizushima, A., Ishii, K., et al.: Development of an autonomous navigation system using a two-dimensional laser scanner in an orchard application. BioSyst. Eng. 96(2), 139–149 (2007)

    Article  Google Scholar 

  25. Kaplan, E.D.: Understanding GPS Principles and Applications, 2nd edn. HÄFTAD, Engelska (2006)

    Google Scholar 

  26. Aboul-Enein, Y.H.: The precision revolution: GPS and the future of aerial warfare. Technol. Cult. 45(4), 883–884 (2003)

    Google Scholar 

  27. Liu, J., Hao, J.: Research on autonomous navigation robot navigation and location technology. Technol. Appl. 1, 23–26 (2005)

    Article  Google Scholar 

  28. Chugo, D., Matsushima, S., Yokota, S., et al.: Camera-based indoor navigation for service robots. In: SICE Annual Conference, pp. 1008–1013 (2010)

    Google Scholar 

  29. Wu, S., Cheng, M., Hsu, W.: Design and implementation of a prototype vision-guided golf-ball collecting mobile robot. In: IEEE International Conference on Mechatronics, pp. 611–615 (2005)

    Google Scholar 

  30. Budiharto, W., Santoso, A., Purwanto, D., et al.: A navigation system for service robot using stereo vision and kalman filtering. In: Control, Automation and Systems, pp. 1771–1776 (2011)

    Google Scholar 

  31. Kim, W.S.: Virtual reality calibration for telerobotic servicing. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 2769–2775 (1994)

    Google Scholar 

  32. Song, Y.: Research on Coordinated Motion Accuracy and Off-Line Programming Calibration Technology of Automatic Welding Robot System. Harbin Institute of Technology (2002)

    Google Scholar 

  33. Liu, H., Yang, J., Lu, J., et al.: A survey of mobile robot motion planning. Chin. Eng. Sci. 8(1), 85–94 (2006)

    Google Scholar 

  34. Latomabe, J.C.: Robot motion planning. Kluwer, Norwell (1991)

    Google Scholar 

  35. Pere: Automatic planning of manipulator movements. IEEE Trans. Syst. Man Cyb. 11(11), 681–698 (1981)

    Google Scholar 

  36. Dijkstra, E.W.: A note on two problems in connection with graphs. Numcr. Math. 1, 269–271 (1959)

    Article  MATH  Google Scholar 

  37. Alexopoulos, C., Griffin, P.M.: Path Planning for a Mobile Robot. IEEE Trans. Syst. Man Cybern. 22(2), 318–322 (1992)

    Article  Google Scholar 

  38. Yong, K., Wang, H., Abuja, N.: A potential field approach to path planning. IEEE Trans. Robot. Autom. 8(1), 23–32 (1992)

    Article  Google Scholar 

  39. Li, Y.: The principle and application of Wifi technology. Technol. Inf. 4(2), 59–61 (2010)

    Google Scholar 

  40. Shuqi, W., Ge, S.: Design of Wifi terminal based on S3C2410 in mine tunnel. Microcomput. Inf. 23(4), 186–188 (2007)

    Google Scholar 

  41. Jiang, F., Zhang, L., He, C.: Application of Wifi technology in mine remote monitoring system. Coal Mine Saf. 42(5), 62–65 (2010)

    Google Scholar 

  42. Wang, D., Zhang, J.R., Wei, Y., et al.: Building Wireless Sensor Networks (Wsns) by ZigBee Technology. J. Chongqing Univ. 29(8), 95–100 (2006)

    Google Scholar 

  43. Zhao, P.: Research and Development of Machine Vision. Science Press, Beijing (2012)

    Google Scholar 

Download references

Acknowledgments

This paper contains the results of researches on Tianjin Municipal Natural Science Foundation Project (17JCZDJC30400 and 16JCQNJC04100) supported by the Tianjin Municipal Science and Technology Commission, and the National College Students’ Innovative Entrepreneurial Training program (201610060050) of the People’s Republic of China.

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Authors and Affiliations

  1. Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, National Demonstration Center for Experimental Mechanical and Electrical Engineering Education (Tianjin University of Technology), Tianjin, 300384, China

    Hengbin Yu, Shoujun Wang, Haibo Zhou, Lu Yang & Xu Zhou

Authors
  1. Hengbin Yu
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  2. Shoujun Wang
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  3. Haibo Zhou
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  4. Lu Yang
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  5. Xu Zhou
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Corresponding author

Correspondence to Haibo Zhou .

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Editors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    YongAn Huang

  2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Hao Wu

  3. Institute of Industrial Research, University of Portsmouth, Portsmouth, United Kingdom

    Honghai Liu

  4. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

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Yu, H., Wang, S., Zhou, H., Yang, L., Zhou, X. (2017). Research and Development of Ball-Picking Robot Technology. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10464. Springer, Cham. https://doi.org/10.1007/978-3-319-65298-6_21

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  • DOI: https://doi.org/10.1007/978-3-319-65298-6_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65297-9

  • Online ISBN: 978-3-319-65298-6

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