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Journal of Intelligent & Robotic Systems

, Volume 91, Issue 1, pp 85–99 | Cite as

Bio-Inspired Robotics: A Spatial Cognition Model integrating Place Cells, Grid Cells and Head Direction Cells

  • Gonzalo Tejera
  • Martin Llofriu
  • Alejandra Barrera
  • Alfredo WeitzenfeldEmail author
Article
  • 229 Downloads

Abstract

The paper presents a bio-inspired robotics model for spatial cognition derived from neurophysiological and experimental studies in rats. The model integrates Hippocampus place cells providing long-term spatial localization with Enthorinal Cortex grid cells providing short-term spatial localization in the form of “neural odometry”. Head direction cells provide for orientation in the rat brain. The spatial cognition model is evaluated in simulation and experimentation showing a reduced number of localization errors during robot navigation when contrasted to previous versions of our model.

Keywords

Spatial cognition Robot navigation Place cells Grid cells Head direction cells 

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Notes

Acknowledgments

This work was funded in part by NSF IIS Robust Intelligence research collaboration grant #1117303 at USF and U. Arizona entitled “Investigations of the Role of Dorsal versus Ventral Place and Grid Cells during Multi-Scale Spatial Navigation in Rats and Robots,” and also supported in part by the “Agencia Nacional de Investigacion e Innovación (ANII)” and by the “Asociación Mexicana de Cultura, A. C.”

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© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  • Gonzalo Tejera
    • 1
  • Martin Llofriu
    • 2
  • Alejandra Barrera
    • 3
  • Alfredo Weitzenfeld
    • 2
    Email author
  1. 1.Facultad de IngenieríaUniversidad de la RepúblicaMontevideoUruguay
  2. 2.Computer Science and EngineeringUniversity of South FloridaTampaUSA
  3. 3.Departamento de ComputaciónInstituto Tecnológico Autónomo de MexicoMexico CityMexico

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