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Long-Term Experiment Using an Adaptive Appearance-Based Map for Visual Navigation by Mobile Robots

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Towards Autonomous Robotic Systems (TAROS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6856))

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Abstract

Building functional and useful mobile service robots means that these robots have to be able to share physical spaces with humans, and to update their internal representation of the world in response to changes in the arrangement of objects and appearance of the environment – changes that may be spontaneous and unpredictable – as a result of human activities. However, almost all past research on robot mapping addresses only the initial learning of an environment, a phase which will only be a short moment in the lifetime of a service robot that may be expected to operate for many years.

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References

  1. Dayoub, F., Duckett, T.: An adaptive appearance-based map for long-term topological localization of mobile robots. In: Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), Nice, France, September 22-26 (2008)

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  2. Dayoub, F., Cielniak, G., Duckett, T.: Long-Term experiments with an adaptive spherical view representation for navigation in changing environments. Robotics and Autonomous Systems 59(5) (2011)

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Author information

Authors and Affiliations

  1. School of Computer Science, University of Lincoln, Lincoln, UK

    Feras Dayoub, Grzegorz Cielniak & Tom Duckett

Authors
  1. Feras Dayoub
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  2. Grzegorz Cielniak
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  3. Tom Duckett
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Editor information

Editors and Affiliations

  1. Department of Automatic Control and Systems Engineering, The University of Sheffield, Mappin Street, S1 3JD, Sheffield, UK

    Roderich Groß

  2. Materials and Engineering Research Institute, Sheffield Hallam University, City Campus, Horward Street, S1 1WB, Sheffield, UK

    Lyuba Alboul  & Jacques Penders  & 

  3. Department of Computing, Engineering and Mathematical Sciences, Bristol Robotics Laboratory (BRL), University of Bristol and the West of England, Bristol Business Park, BS16 1QD, Bistol, UK

    Chris Melhuish

  4. Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, SW7 2BT, London, UK

    Mark Witkowski

  5. Department of Psychology, The University of Sheffield, Wstern Bank, S10 2TN, Sheffield, UK

    Tony J. Prescott

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© 2011 Springer-Verlag Berlin Heidelberg

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Dayoub, F., Cielniak, G., Duckett, T. (2011). Long-Term Experiment Using an Adaptive Appearance-Based Map for Visual Navigation by Mobile Robots. In: Groß, R., Alboul, L., Melhuish, C., Witkowski, M., Prescott, T.J., Penders, J. (eds) Towards Autonomous Robotic Systems. TAROS 2011. Lecture Notes in Computer Science(), vol 6856. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23232-9_47

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  • DOI: https://doi.org/10.1007/978-3-642-23232-9_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23231-2

  • Online ISBN: 978-3-642-23232-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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