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Morphosis—Taking Morphological Computation to the Next Level

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Soft Robotics: Trends, Applications and Challenges

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 17))

Abstract

Morphological Computation is a concept used in robotics that sees physical bodies of robots as means to carry out computations that are relevant for their successful interaction with the environment. It is inspired by observations in nature where we can see that the morphology (i.e. the shape as well the dynamic properties of the body) of biological systems is playing a crucial role for the emergence of intelligent behavior. Although there are a number of successful implementations of this concept in robotics, there are still challenges to overcome. One is that any functionality implemented in a morphology is deemed to be fixed. However, truly autonomous robots should be highly flexible and are expected to be able to adapt to changes in the environment and to new tasks. In case of morphological computation, in order to change the desired computation to be carried out, the underlying morphology has to be altered. A solution is to introduce mechanisms that enable the robot to make these changes online, often referred to as morphosis. We introduce and discuss a general notion of morphosis from the view point of dynamical systems theory, highlight the concept by examples from robotics, and elaborate on the wide-reaching implications with respect to the design of highly autonomous robots.

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Acknowledgments

This works has been partly supported by the EU project RoboSoft—Future and Emerging Technologies Open Scheme (FP7-ICT-2013-C project #619319).

Author information

Authors and Affiliations

  1. Department of Engineering Mathematics, University of Bristol, Woodland Road, Bristol, BS8 1UB, UK

    Helmut Hauser

  2. Bristol Robotics Lab, Frenchay Campus, Coldharbour Lane, Bristol, BS16 1QY, UK

    Helmut Hauser

  3. The BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy

    Francesco Corucci

  4. Morphology, Evolution and Cognition Lab, University of Vermont, Burlington, VT, USA

    Francesco Corucci

Authors
  1. Helmut Hauser
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  2. Francesco Corucci
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Corresponding author

Correspondence to Helmut Hauser .

Editor information

Editors and Affiliations

  1. The BioRobotics Institute, Scuola Superiore Sant'Anna The BioRobotics Institute, Pisa, Italy

    Cecilia Laschi

  2. Bristol Robotics Laboratory, University of Bristol Bristol Robotics Laboratory, Clifton, United Kingdom

    Jonathan Rossiter

  3. Department of Engineering, Cambridge University Department of Engineering, Cambridge, United Kingdom

    Fumiya Iida

  4. The BioRobotics Institute, Scuola Superiore Sant'Anna The BioRobotics Institute, Pisa, Italy

    Matteo Cianchetti

  5. The BioRobotics Institute, Scuola Superiore Sant'Anna The BioRobotics Institute, Pisa, Italy

    Laura Margheri

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Hauser, H., Corucci, F. (2017). Morphosis—Taking Morphological Computation to the Next Level. In: Laschi, C., Rossiter, J., Iida, F., Cianchetti, M., Margheri, L. (eds) Soft Robotics: Trends, Applications and Challenges. Biosystems & Biorobotics, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-46460-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-46460-2_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46459-6

  • Online ISBN: 978-3-319-46460-2

  • eBook Packages: EngineeringEngineering (R0)

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