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Backward movement control with two-trailer truck system using genetic programming

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Abstract

In this paper, we propose a control system using genetic programming (GP) for backward movement control of a two-trailer truck, known as a nonholonomic system. We have already achieved the control of a single trailer using GP. In this study, we aim to design a control system for complex problem of two trailers. In order to verify the effectiveness of the proposed method, it is compared to neuro controller (NC) system evolved by genetic algorithm (GA).

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References

  1. Tanaka K (1997) Fuzzy backward movement control of a mobile robot with two trailers (in Japanese). Trans SICE 37(8):541–546

    Google Scholar 

  2. Nguyen D, Widrow B (1989) The truck backer-upper: an example of self-learning in neural networks. In: Proc of Int Joint Conf on Neural Networks 2:357–363

    Article  Google Scholar 

  3. Wang B, Kinjo H, Nakazono K, Yamamoto T (2003) Design of backward movement control for a truck system with two trailer using neurocontrollers evolved by genetic algorithums. IEEJ Trans EIS 123(5):983–990

    Article  Google Scholar 

  4. Koza J (1990) Genetically breeding populations of computer programs to solve problems in artificial intelligence. In: Proc of the Second Int Conf on Tools for AI. IEEE Computer Society Press, pp 819–827

  5. Ogawa T, Oshiro N, Kinjo H (2007) Backward movement control with a trailer system used genetic programmings (in Japanese). JSME Conf 78(2):159–160

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Graduate School of Engineering and Science, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa, 903-0213, Japan

    Takanori Ogawa

  2. Department of Mechanical Engineering, Faculty of Engineering, University of the Ryukyus, Okinawa, Japan

    Naoki Oshiro & Hiroshi Kinjo

Authors
  1. Takanori Ogawa
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  2. Naoki Oshiro
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  3. Hiroshi Kinjo
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Corresponding author

Correspondence to Takanori Ogawa.

Additional information

This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008

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Ogawa, T., Oshiro, N. & Kinjo, H. Backward movement control with two-trailer truck system using genetic programming. Artif Life Robotics 13, 89–93 (2008). https://doi.org/10.1007/s10015-008-0525-5

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  • DOI: https://doi.org/10.1007/s10015-008-0525-5

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