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Path Planning Algorithm for Robot in 3D Environment Based on Neural Network

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Book cover Intelligent Robotics and Applications (ICIRA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5314))

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Abstract

The problem of path planning is studied for the case of a robot moving in a three-dimensional known environment. An aggressive algorithm using a description of the obstacles based on neural network is proposed. The algorithm allows constructing an optimal path and the calculation speed for the proposed algorithm is comparatively fast. Simulation results show the effectiveness of the proposed algorithm.

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Author information

Authors and Affiliations

  1. Dept. of Electronics and Information, Zhongyuan University of Technology, Zhengzhou, 450007, China

    Jianli Yu, Siya Cheng & Zongwei Zhang

  2. Modern Education Center, Zhongyuan University of Technology, Zhengzhou, 450007, China

    Qifeng Zhang

  3. Dept. of Electrical and Electronic Engineering, Okayama University of Science, Okayama, 700-0005, Japan

    Valeri Kroumov

Authors
  1. Jianli Yu
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  2. Qifeng Zhang
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  3. Valeri Kroumov
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  4. Siya Cheng
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  5. Zongwei Zhang
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Editor information

Editors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, 430074, Wuhan, China

    Caihua Xiong , Yongan Huang  & Youlun Xiong ,  & 

  2. Institute of Industrial Research, University of Portsmouth, Burnaby Building, PO1 3QL, Portsmouth, UK

    Honghai Liu

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© 2008 Springer-Verlag Berlin Heidelberg

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Yu, J., Zhang, Q., Kroumov, V., Cheng, S., Zhang, Z. (2008). Path Planning Algorithm for Robot in 3D Environment Based on Neural Network. In: Xiong, C., Huang, Y., Xiong, Y., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2008. Lecture Notes in Computer Science(), vol 5314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88513-9_115

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  • DOI: https://doi.org/10.1007/978-3-540-88513-9_115

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88512-2

  • Online ISBN: 978-3-540-88513-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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