Literature DB >> 25247370

Robotics and neuroscience.

Dario Floreano1, Auke Jan Ijspeert2, Stefan Schaal3.   

Abstract

In the attempt to build adaptive and intelligent machines, roboticists have looked at neuroscience for more than half a century as a source of inspiration for perception and control. More recently, neuroscientists have resorted to robots for testing hypotheses and validating models of biological nervous systems. Here, we give an overview of the work at the intersection of robotics and neuroscience and highlight the most promising approaches and areas where interactions between the two fields have generated significant new insights. We articulate the work in three sections, invertebrate, vertebrate and primate neuroscience. We argue that robots generate valuable insight into the function of nervous systems, which is intimately linked to behaviour and embodiment, and that brain-inspired algorithms and devices give robots life-like capabilities.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2014        PMID: 25247370     DOI: 10.1016/j.cub.2014.07.058

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  13 in total

1.  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

Review 2.  Unlocking neural complexity with a robotic key.

Authors:  Peter Stratton; Michael Hasselmo; Michael Milford
Journal:  J Physiol       Date:  2016-03-09       Impact factor: 5.182

Review 3.  Synthetic transitions: towards a new synthesis.

Authors:  Ricard Solé
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-08-19       Impact factor: 6.237

4.  From cineradiography to biorobots: an approach for designing robots to emulate and study animal locomotion.

Authors:  K Karakasiliotis; R Thandiackal; K Melo; T Horvat; N K Mahabadi; S Tsitkov; J M Cabelguen; A J Ijspeert
Journal:  J R Soc Interface       Date:  2016-06       Impact factor: 4.118

5.  Closed-loop Robots Driven by Short-Term Synaptic Plasticity: Emergent Explorative vs. Limit-Cycle Locomotion.

Authors:  Laura Martin; Bulcsú Sándor; Claudius Gros
Journal:  Front Neurorobot       Date:  2016-10-18       Impact factor: 2.650

6.  Robotic investigation on effect of stretch reflex and crossed inhibitory response on bipedal hopping.

Authors:  Xiangxiao Liu; Andre Rosendo; Shuhei Ikemoto; Masahiro Shimizu; Koh Hosoda
Journal:  J R Soc Interface       Date:  2018-03       Impact factor: 4.118

7.  Extending the Functional Subnetwork Approach to a Generalized Linear Integrate-and-Fire Neuron Model.

Authors:  Nicholas S Szczecinski; Roger D Quinn; Alexander J Hunt
Journal:  Front Neurorobot       Date:  2020-11-13       Impact factor: 2.650

8.  Distributed recurrent neural forward models with synaptic adaptation and CPG-based control for complex behaviors of walking robots.

Authors:  Sakyasingha Dasgupta; Dennis Goldschmidt; Florentin Wörgötter; Poramate Manoonpong
Journal:  Front Neurorobot       Date:  2015-09-25       Impact factor: 2.650

9.  Cerebellar-inspired algorithm for adaptive control of nonlinear dielectric elastomer-based artificial muscle.

Authors:  Emma D Wilson; Tareq Assaf; Martin J Pearson; Jonathan M Rossiter; Sean R Anderson; John Porrill; Paul Dean
Journal:  J R Soc Interface       Date:  2016-09       Impact factor: 4.118

10.  Spatial Encoding of Translational Optic Flow in Planar Scenes by Elementary Motion Detector Arrays.

Authors:  Julien Lecoeur; Emily Baird; Dario Floreano
Journal:  Sci Rep       Date:  2018-04-11       Impact factor: 4.379

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