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Path Following Algorithm with Small Error for Guide Robot

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Robot Intelligence Technology and Applications 7 (RiTA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 642))

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Abstract

This paper proposes a path-following method, the Robot Side method, for controlling the guide robot. It assumes that we prepare waypoints in the environment, and the robot moves along the waypoints. The conventional path-following methods, such as the pure pursuit and the parallelogram, overshoot when the waypoint is not straight. The proposed method has three states depending on the robot’s position, angle, and path for reducing the trajectory deviation from the path. First, when the robot is far from the path, it controls the robot to approach the path rapidly, adjusts its direction to the path’s direction, and finally controls the robot to move along the path. We carried out the comparison experiments, and the results showed that the proposed method showed small trajectory errors and quick following behavior.

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References

  1. Kanda, T., Shiomi, M., Miyashita, Z., Ishiguro, H., Hagita, N.: A communication robot in a shopping mall. IEEE Trans. Robot. 26(5), 897–913 (2010)

    Article  Google Scholar 

  2. Kaipainen, K., Ahtinen, A., Hiltunen, A.: Nice surprise, more present than a machine: experiences evoked by a social robot for guidance and edutainment at a city service point. In: Proceedings of the 22nd International Academic Mindtrek Conference, pp. 163–171 (2018)

    Google Scholar 

  3. Heikkilä, P., et al.: Should a robot guide like a human? A qualitative four-phase study of a shopping mall robot. In: Salichs, M.A., et al. (eds.) ICSR 2019. LNCS (LNAI), vol. 11876, pp. 548–557. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-35888-4_51

    Chapter  Google Scholar 

  4. Thrun, S., et al.: MINERVA: a second-generation museum tour-guide robot. In: Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No. 99CH36288C), vol. 3. IEEE (1999)

    Google Scholar 

  5. Yamazaki, K., et al.: Revealing Gauguin: engaging visitors in robot guide’s explanation in an art museum. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1437–1446 (2009)

    Google Scholar 

  6. Yamazaki, A., Yamazaki, K., Ohyama, T., Kobayashi, Y., Kuno, Y.: A techno-sociological solution for designing a museum guide robot: regarding choosing an appropriate visitor. In: 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 309–316. IEEE (2012)

    Google Scholar 

  7. Tobita, K., Sagayama, K., Ogawa, H.: Examination of a guidance robot for visually impaired people. J. Robot. Mechatron. 29(4), 720–727 (2017)

    Article  Google Scholar 

  8. Okano, S., Matsuhira, N., Shimokawara, E., Yamaguchi, T., Narita, M.: Employing robots in a museum environment: design and implementation of collaborative robot network. In: 2019 16th International Conference on Ubiquitous Robots (UR), pp. 224–227. IEEE (2019)

    Google Scholar 

  9. Tamai, A., Ikeda, T., Iwaki, S.: A method for guiding a person combining robot movement and projection. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1265–1270. IEEE (2019)

    Google Scholar 

  10. Hiroi, Y., Ito, A.: A pedestrian avoidance method considering personal space for a guide robot. Robotics 8(4) (2019)

    Google Scholar 

  11. Sakai, K., Hiroi, Y., Ito, A.: Teaching a robot where objects are: specification of object location using human following and human orientation estimation. In: 2014 World Automation Congress (WAC), pp. 490–495 (2014)

    Google Scholar 

  12. Samuel, M., Hussein, M., Mohamad, M.B.: A review of some pure-pursuit based path tracking techniques for control of autonomous vehicle. Int. J. Comput. Appl. 135(1), 35–38 (2016)

    Google Scholar 

  13. Coulter, R.C.: Implementation of the pure pursuit path tracking algorithm. Technical report, Carnegie-Mellon UNIV Pittsburgh PA Robotics INST (1992)

    Google Scholar 

  14. Bai, G., Meng, Y., Liu, L., Luo, W., Gu, Q., Liu, L.: Review and comparison of path tracking based on model predictive control. Electronics 8(10), 1077 (2019)

    Article  Google Scholar 

  15. Yu, S., Li, X., Chen, H., Allgöwer, F.: Nonlinear model predictive control for path following problems. Int. J. Robust Nonlinear Control 25(8), 1168–1182 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  16. Hiroi, Y., Matsunaka, S., Ito, A.: A mobile robot system with semi-autonomous navigation using simple and robust person following behavior. J. Man Mach. Technol. 1(1), 44–62 (2012)

    Article  Google Scholar 

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Acknowledgement

Part of this work was supported by JSPS KAKENHI JP20K04389.

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Correspondence to Yutaka Hiroi .

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Wakabayashi, H., Hiroi, Y., Miyawaki, K., Ito, A. (2023). Path Following Algorithm with Small Error for Guide Robot. In: Jo, J., et al. Robot Intelligence Technology and Applications 7. RiTA 2022. Lecture Notes in Networks and Systems, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-031-26889-2_6

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