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Mobile Robot Navigation Based on Multisensory Fusion

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Advances in Natural Computation (ICNC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3612))

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Abstract

Multisensory fusion is being increasing viewed as an important activity in the filed of mobile robot navigation and obstacle avoidance. The fusion of data from a variety of sensors makes the mobile robot more easily survival in a hostile environment. It takes advantage of the redundancy and reciprocity of multisensory data and increases the precision and reliability of inference and judgment for the mobile robot. This paper presents a method which employs fuzzy logic and neural networks to fuse data from several kinds of sensors. As a result, more exact navigation and quick obstacle avoidance can be achieved.

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References

  1. Ge, W., Cao, Z., Peng, X.: Web-Based Telerobotics System In Virtual Reality Environment. In: Proceedings of SPIE. SPIE, vol. 5267, pp. 99–106 (2003)

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  2. Hu, J.: Research on The Technology for Multi-Sensor Date Fusion Based on AGV, M.S. Thesis of TUT, Tianjin, China (2002)

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  3. Ding, C.: Mobile Robot ’s All Following Based On Neural Network and Fuzzy Control, M.S. Thesis of HUT, Tianjin, China (2001)

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Author information

Authors and Affiliations

  1. International Institute for Software Technology, United Nations University, Macao SAR

    Weimin Ge

  2. School of Mechanical Engineering, Tianjin University of Technology, Tianjin, China

    Weimin Ge & Zuoliang Cao

Authors
  1. Weimin Ge
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  2. Zuoliang Cao
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. School of Software, Sun Yat-Sen University, 510275, Guangzhou, China

    Ke Chen

  3. School of Computer Engineering, Nanyang Technological University, BLK N4, 2b-39, Nanyang Avenue, 639798, Singapore

    Yew Soon Ong

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© 2005 Springer-Verlag Berlin Heidelberg

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Ge, W., Cao, Z. (2005). Mobile Robot Navigation Based on Multisensory Fusion. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539902_125

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  • DOI: https://doi.org/10.1007/11539902_125

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28320-1

  • Online ISBN: 978-3-540-31863-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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