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Biomimetic Navigation Using CBR

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Advances in Computational Intelligence (IWANN 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10306))

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Abstract

Biologically inspired design consists in the creation of technological systems using as starting or inspirational point biological systems. Indeed, it has been used widely in robotics in different areas, such as mechanics, coordination or navigation. For example, in robot navigation, biomimetic algorithms can be specially useful in certain circumstances, such as when a robot needs to interacts closely with users. Using biomimetic navigation robot movements would be more similar to human ones but maintaining some basic navigation factors such as the safety. It is important in systems such as assistive systems in which human and robot control can be switch or combined –depending on the kind of system– to obtain the final command. Thus, in these systems interaction is very close to the user and it is advisable to make robot commands as similar as possible to the user ones. Otherwise, the user could even reject robot assistance depending on the disagreement between user and robot commands to reach a destiny. This disagreement provokes user’s frustration and stress and, in extreme, assistive system rejection. In this paper we propose a biomimetic navigation algorithm based on Case-Based Reasoning that learns from real traces –performed by volunteers– in order to achieve robot navigation as close as possible to the human one.

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Notes

  1. 1.

    Collaboration under the framework New technologies in rehabilitation: walking aids: a pilot study with robotic walker.

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Acknowledgements

This work has been partially supported by the Spanish Ministerio de Educacion y Ciencia (MEC), Project. TEC2011-29106, Project no. TEC2014-56256-C2-1-P, by the Junta de Andalucia project No. TIC-7839, Hospital Regional Universitario of Malaga and Fondazione Santa Lucia of Rome.

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Authors and Affiliations

  1. Department of Tecnología Electrónica, University of Málaga, Málaga, Spain

    Jose Manuel Peula, Joaquín Ballesteros, Cristina Urdiales & Francisco Sandoval

Authors
  1. Jose Manuel Peula
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  2. Joaquín Ballesteros
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  3. Cristina Urdiales
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  4. Francisco Sandoval
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Corresponding author

Correspondence to Jose Manuel Peula .

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Editors and Affiliations

  1. Universidad de Granada, Granada, Spain

    Ignacio Rojas

  2. University of Malaga, Malaga, Spain

    Gonzalo Joya

  3. Polytechnic University of Catalonia, Vilanova i la Geltrú, Barcelona, Spain

    Andreu Catala

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Peula, J.M., Ballesteros, J., Urdiales, C., Sandoval, F. (2017). Biomimetic Navigation Using CBR. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2017. Lecture Notes in Computer Science(), vol 10306. Springer, Cham. https://doi.org/10.1007/978-3-319-59147-6_54

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  • DOI: https://doi.org/10.1007/978-3-319-59147-6_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59146-9

  • Online ISBN: 978-3-319-59147-6

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