Robot Localization by Echo State Networks Using RSS

  • Stefano Chessa
  • Claudio Gallicchio
  • Roberto Guzman
  • Alessio Micheli
Conference paper

DOI: 10.1007/978-3-319-04129-2_15

Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 26)
Cite this paper as:
Chessa S., Gallicchio C., Guzman R., Micheli A. (2014) Robot Localization by Echo State Networks Using RSS. In: Bassis S., Esposito A., Morabito F. (eds) Recent Advances of Neural Network Models and Applications. Smart Innovation, Systems and Technologies, vol 26. Springer, Cham

Abstract

In this paper we present an application of Reservoir Computing to indoor robot localization, based on input received signal strength signals from a wireless sensor network. The proposed localization system allows to combine good predictive performance with particularly efficient and practical solutions. Promising results are shown in preliminary experiments on a real-world scenario.

Keywords

Echo State Networks Reservoir Computing Wireless Sensor Networks Robot Localization 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Stefano Chessa
    • 1
  • Claudio Gallicchio
    • 1
  • Roberto Guzman
    • 2
  • Alessio Micheli
    • 1
  1. 1.Department of Computer ScienceUniversity of PisaPisaItaly
  2. 2.Robotnik Automation, SLLValenciaSpain

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