Literature DB >> 23186344

Morphological computation and morphological control: steps toward a formal theory and applications.

Rudolf M Füchslin1, Andrej Dzyakanchuk, Dandolo Flumini, Helmut Hauser, Kenneth J Hunt, Rolf H Luchsinger, Benedikt Reller, Stephan Scheidegger, Richard Walker.   

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.

Entities:  

Mesh:

Year:  2012        PMID: 23186344     DOI: 10.1162/ARTL_a_00079

Source DB:  PubMed          Journal:  Artif Life        ISSN: 1064-5462            Impact factor:   0.667


  11 in total

1.  Programming chemistry in DNA-addressable bioreactors.

Authors:  Harold Fellermann; Luca Cardelli
Journal:  J R Soc Interface       Date:  2014-10-06       Impact factor: 4.118

Review 2.  Adaptation of sensor morphology: an integrative view of perception from biologically inspired robotics perspective.

Authors:  Fumiya Iida; Surya G Nurzaman
Journal:  Interface Focus       Date:  2016-08-06       Impact factor: 3.906

Review 3.  Planarian regeneration as a model of anatomical homeostasis: Recent progress in biophysical and computational approaches.

Authors:  Michael Levin; Alexis M Pietak; Johanna Bischof
Journal:  Semin Cell Dev Biol       Date:  2018-05-01       Impact factor: 7.727

4.  On the role of the plasmodial cytoskeleton in facilitating intelligent behavior in slime mold Physarum polycephalum.

Authors:  Richard Mayne; Andrew Adamatzky; Jeff Jones
Journal:  Commun Integr Biol       Date:  2015-08-31

5.  The MATCHIT automaton: exploiting compartmentalization for the synthesis of branched polymers.

Authors:  Mathias S Weyland; Harold Fellermann; Maik Hadorn; Daniel Sorek; Doron Lancet; Steen Rasmussen; Rudolf M Füchslin
Journal:  Comput Math Methods Med       Date:  2013-12-31       Impact factor: 2.238

6.  Information processing via physical soft body.

Authors:  Kohei Nakajima; Helmut Hauser; Tao Li; Rolf Pfeifer
Journal:  Sci Rep       Date:  2015-05-27       Impact factor: 4.379

7.  Morphological Properties of Mass-Spring Networks for Optimal Locomotion Learning.

Authors:  Gabriel Urbain; Jonas Degrave; Benonie Carette; Joni Dambre; Francis Wyffels
Journal:  Front Neurorobot       Date:  2017-03-27       Impact factor: 2.650

8.  Morphological Computation: Nothing but Physical Computation.

Authors:  Marcin Miłkowski
Journal:  Entropy (Basel)       Date:  2018-12-07       Impact factor: 2.524

9.  Physical reservoir computing with origami and its application to robotic crawling.

Authors:  Priyanka Bhovad; Suyi Li
Journal:  Sci Rep       Date:  2021-06-21       Impact factor: 4.379

10.  A soft body as a reservoir: case studies in a dynamic model of octopus-inspired soft robotic arm.

Authors:  Kohei Nakajima; Helmut Hauser; Rongjie Kang; Emanuele Guglielmino; Darwin G Caldwell; Rolf Pfeifer
Journal:  Front Comput Neurosci       Date:  2013-07-09       Impact factor: 2.380

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.