Literature DB >> 18006736

Self-organization, embodiment, and biologically inspired robotics.

Rolf Pfeifer1, Max Lungarella, Fumiya Iida.   

Abstract

Robotics researchers increasingly agree that ideas from biology and self-organization can strongly benefit the design of autonomous robots. Biological organisms have evolved to perform and survive in a world characterized by rapid changes, high uncertainty, indefinite richness, and limited availability of information. Industrial robots, in contrast, operate in highly controlled environments with no or very little uncertainty. Although many challenges remain, concepts from biologically inspired (bio-inspired) robotics will eventually enable researchers to engineer machines for the real world that possess at least some of the desirable properties of biological organisms, such as adaptivity, robustness, versatility, and agility.

Mesh:

Year:  2007        PMID: 18006736     DOI: 10.1126/science.1145803

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  138 in total

1.  Information-driven self-organization: the dynamical system approach to autonomous robot behavior.

Authors:  Nihat Ay; Holger Bernigau; Ralf Der; Mikhail Prokopenko
Journal:  Theory Biosci       Date:  2011-11-29       Impact factor: 1.919

2.  Novel plasticity rule can explain the development of sensorimotor intelligence.

Authors:  Ralf Der; Georg Martius
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-26       Impact factor: 11.205

3.  Interpreting neurodynamics: concepts and facts.

Authors:  Harald Atmanspacher; Stefan Rotter
Journal:  Cogn Neurodyn       Date:  2008-10-15       Impact factor: 5.082

Review 4.  Twitching in sensorimotor development from sleeping rats to robots.

Authors:  Mark S Blumberg; Hugo Gravato Marques; Fumiya Iida
Journal:  Curr Biol       Date:  2013-06-17       Impact factor: 10.834

5.  Coupling relationship between the central pattern generator and the cerebral cortex with time delay.

Authors:  Qiang Lu
Journal:  Cogn Neurodyn       Date:  2015-03-10       Impact factor: 5.082

6.  The evolution of information suppression in communicating robots with conflicting interests.

Authors:  Sara Mitri; Dario Floreano; Laurent Keller
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-03       Impact factor: 11.205

7.  A new perspective on the organization of an invertebrate brain.

Authors:  Letizia Zullo; Binyamin Hochner
Journal:  Commun Integr Biol       Date:  2011-01

8.  Estimation of musculoskeletal models from in situ measurements of muscle action in the rat hindlimb.

Authors:  Sang Hoon Yeo; Christopher H Mullens; Thomas G Sandercock; Dinesh K Pai; Matthew C Tresch
Journal:  J Exp Biol       Date:  2011-03-01       Impact factor: 3.312

9.  What is the biological basis of sensorimotor integration?

Authors:  Martha Flanders
Journal:  Biol Cybern       Date:  2011-02-02       Impact factor: 2.086

10.  Morphological change in machines accelerates the evolution of robust behavior.

Authors:  Josh Bongard
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-10       Impact factor: 11.205

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