Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Morphological computation and morphological control : steps toward a formal theory and applications
Authors: Füchslin, Rudolf Marcel
Dzyakanchuk, Andrej
Flumini, Dandolo
Hauser, Helmut
Hunt, Kenneth J.
Luchsinger, Rolf H.
Reller, Benedikt
Scheidegger, Stephan
Walker, Richard
DOI: 10.1162/ARTL_a_00079
Published in: Artificial Life
Volume(Issue): 19
Issue: 1
Page(s): 9
Pages to: 34
Issue Date: 2013
Publisher / Ed. Institution: MIT Press
ISSN: 1530-9185
1064-5462
Language: English
Subjects: Analogue computation; Embodiment; Systems medicine; Prosthetics
Subject (DDC): 004: Computer science
620: Engineering
Abstract: Morphological computation can be loosely defined as the exploitation of the shape, material properties, and physical dynamics of a physical system to improve the efficiency of a computation. Morphological control is the application of morphological computing to a control task. In its theoretical part, this article sharpens and extends these definitions by suggesting new formalized definitions and identifying areas in which the definitions we propose are still inadequate. We go on to describe three ongoing studies, in which we are applying morphological control to problems in medicine and in chemistry. The first involves an inflatable support system for patients with impaired movement, and is based on macroscopic physics and concepts already tested in robotics. The two other case studies (self-assembly of chemical microreactors; models of induced cell repair in radio-oncology) describe processes and devices on the micrometer scale, in which the emergent dynamics of the underlying physical system (e.g., phase transitions) are dominated by stochastic processes such as diffusion.
URI: https://digitalcollection.zhaw.ch/handle/11475/3410
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Applied Mathematics and Physics (IAMP)
Appears in collections:Publikationen School of Engineering

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Füchslin, R. M., Dzyakanchuk, A., Flumini, D., Hauser, H., Hunt, K. J., Luchsinger, R. H., Reller, B., Scheidegger, S., & Walker, R. (2013). Morphological computation and morphological control : steps toward a formal theory and applications. Artificial Life, 19(1), 9–34. https://doi.org/10.1162/ARTL_a_00079
Füchslin, R.M. et al. (2013) ‘Morphological computation and morphological control : steps toward a formal theory and applications’, Artificial Life, 19(1), pp. 9–34. Available at: https://doi.org/10.1162/ARTL_a_00079.
R. M. Füchslin et al., “Morphological computation and morphological control : steps toward a formal theory and applications,” Artificial Life, vol. 19, no. 1, pp. 9–34, 2013, doi: 10.1162/ARTL_a_00079.
FÜCHSLIN, Rudolf Marcel, Andrej DZYAKANCHUK, Dandolo FLUMINI, Helmut HAUSER, Kenneth J. HUNT, Rolf H. LUCHSINGER, Benedikt RELLER, Stephan SCHEIDEGGER und Richard WALKER, 2013. Morphological computation and morphological control : steps toward a formal theory and applications. Artificial Life. 2013. Bd. 19, Nr. 1, S. 9–34. DOI 10.1162/ARTL_a_00079
Füchslin, Rudolf Marcel, Andrej Dzyakanchuk, Dandolo Flumini, Helmut Hauser, Kenneth J. Hunt, Rolf H. Luchsinger, Benedikt Reller, Stephan Scheidegger, and Richard Walker. 2013. “Morphological Computation and Morphological Control : Steps toward a Formal Theory and Applications.” Artificial Life 19 (1): 9–34. https://doi.org/10.1162/ARTL_a_00079.
Füchslin, Rudolf Marcel, et al. “Morphological Computation and Morphological Control : Steps toward a Formal Theory and Applications.” Artificial Life, vol. 19, no. 1, 2013, pp. 9–34, https://doi.org/10.1162/ARTL_a_00079.


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