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Mobile Robot Navigation Based on Multisensory Fusion

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Book cover 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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© 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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