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Editorial
. 2021 May 31:8:708206.
doi: 10.3389/frobt.2021.708206. eCollection 2021.

Editorial: Recent Trends in Morphological Computation

Keyan Ghazi-Zahedi  1 , John Rieffel  2 , Syn Schmitt  3 , Helmut Hauser  4
Affiliations
Editorial

Editorial: Recent Trends in Morphological Computation

Keyan Ghazi-Zahedi et al. Front Robot AI. .
No abstract available

Keywords: control; embodied intelligence; morphological computation; robotics; soft robotics.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling Editor declared a past co-authorship with one of the author HH.

References

    1. Ghazi-Zahedi K., Haeufle D. F. B., Montúfar G., Schmitt S., Ay N. (2016). Evaluating Morphological Computation in Muscle and DC-motor Driven Models of Hopping Movements. Front. Robot. AI 3 (7), 42. 10.3389/frobt.2016.00042 - DOI
    1. Haeufle D. F. B., Günther M., Wunner G., Schmitt S. (2014). Quantifying Control Effort of Biological and Technical Movements: An Information-Entropy-Based Approach. Phys. Rev. E - Stat. Nonlinear, Soft Matter Phys. 89 (1), 012716. 10.1103/PhysRevE.89.012716 - DOI - PubMed
    1. Hauser H., Ijspeert A. J., Füchslin R. M., Pfeifer R., Maass W. (2012). The Role of Feedback in Morphological Computation with Compliant Bodies. Biol. Cybern. 106 (10). 10.1007/s00422-012-0516-4 - DOI - PubMed
    1. Hauser H., Ijspeert A. J., Füchslin R. M., Pfeifer R., Maass W. (2011). Towards a Theoretical Foundation for Morphological Computation with Compliant Bodies. Biol. Cybern. 105 (5–6), 355–370. 10.1007/s00422-012-0471-0 - DOI - PubMed
    1. Hauser H., Nakajima K., Füchslin R. M. (2014). “Morphological Computation -– the Body as a Computational Resource,” in E-book on Opinions and Outlooks on Morphological Computation. Editors Hauser H., Füchslin R. M., Pfeifer R., 226–244.

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