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2000
D. Floreano
and
J. Urzelai,
“
Evolutionary robots with on-line self-organization and behavioral fitness
”
,
Neural Networks
, vol. 13, no. 4-5, 2000.
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2003
P. M. J. F. Verschure
,
Voegtlin, T.
, and
Douglas, R. J.
,
“
Environmentally mediated synergy between perception and behaviour in mobile robots
”
,
Nature
, vol. 425, no. 6958, 2003.
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2004
Stefano Nolfi
and
Dario Floreano,
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
. Bradford Company Scituate, MA, USA ©2004 , 2004.
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Dario Floreano
and
Stefano Nolfi,
Evolutionary robotics: The biology, intelligence, and technology of self-organizing machines
. Mit Press, 2004, 2004.
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2007
Andrew H. Fagg
,
Nicholas G. Hatsopoulos,
,
Victor de Lafuente6,
,
Karen A. Moxon,
,
Nemati, S.
,
James M. Rebesco,
,
Ranulfo Romo,
,
Sara A. Solla,
,
Jake Reimer,
,
Dennis Tkach,
,
Eric A. Pohlmeyer,
, and
Miller, L. E.
,
“
Biomimetic Brain Machine Interfaces for the Control of Movement
”
,
The Journal of Neuroscience
, vol. 27, no. 44, 2007.
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2011
Severin Leven
,
Jean-Christophe Zufferey,
, and
Dario Floreano,
“
Dealing with midair collisions in dense collective aerial systems
”
,
Journal of Field Robotics
, vol. 28, no. 3, 2011.
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2012
O. Yarkoni
,
Donlon, L.
, and
Frankel, D.
,
“
Creating a bio-hybrid signal transduction pathway: opening a new channel of communication between cells and machines
”
,
Bioinspir. Biomim.
, vol. 4, 2012.
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J. B. Mouret
and
Doncieux, S.
,
“
Encouraging behavioral diversity in evolutionary robotics: An empirical study
”
,
Evolutionary Computation
, vol. 20, no. 1, 2012.
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N. Ouannes
,
Djedi, N. E.
,
Duthen, Y.
, and
Luga, H.
,
“
Gait Evolution for Humanoid Robot in a Physically Simulated Environment
”
,
Studies in Computational Intelligence
, vol. 374, 2012.
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N. Ouannes
,
Djedi, N. E.
,
Duthen, Y.
, and
Luga, H.
,
“
Gait Evolution for Humanoid Robot in a Physically Simulated Environment
”
,
Studies in Computational Intelligence
, vol. 374, 2012.
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S. Wischmann
,
Dario Floreano,
, and
Keller, L.
,
“
Historical contingency affects signaling strategies and competitive abilities in evolving populations of simulated robots
”
,
PNAS
, pp. 864-868, 2012.
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N. F. Lepora
,
Fox, C. W.
,
Evans, M. H.
,
Diamond, M. E.
,
Kevin Gurney,
, and
Prescott, T. J.
,
“
Optimal decision-making in mammals: insights from a robot study of rodent texture discrimination
”
,
Journal of The Royal Society
, 2012.
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Z. Yu
,
Chen, J.
, and
Dai, Z.
,
“
Study on Forces Simulation of Gecko Robot Moving on the Ceiling
”
,
Advances in Intelligent and Soft Computing
, vol. 125, pp. 81-88, 2012.
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2013
T. Petrič
,
Gams, A.
,
Debevec, T.
,
lajpah, L. Ž.
, and
Babič, J.
,
“
Control approaches for robotic knee exoskeleton and their effects on human motion
”
,
Advanced Robotics
, vol. 27, no. 13, pp. 993-1002, 2013.
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K. A. Daltorio
,
Boxerbaum, A. S.
,
Horchler, A. D.
,
Shaw, K. M.
,
Chiel, H. J.
, and
Quinn, R. D.
,
“
Efficient worm-like locomotion: slip and control of soft-bodied peristaltic robots
”
,
Bioinspiration & biomimetics
, vol. 8, no. 3, 2013.
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G. A. Tabot
,
Dammann, J. F.
,
Berg, J. A.
,
Tenore, F. V.
,
Boback, J. L.
,
Vogelstein, R. J.
, and
Bensmaia, S. J.
,
“
Restoring the sense of touch with a prosthetic hand through a brain interface
”
,
Proc Natl Acad Sci USA
, vol. 110 , no. 45, 2013.
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S. Sareh
,
Rossiter, J.
,
Conn, A.
,
Drescher, K.
, and
Goldstein, R. E.
,
“
Swimming like algae: biomimetic soft artificial cilia
”
,
J. R. Soc. Interface
, vol. 10, no. 78, 2013.
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2014
S. De Faveri
and
et, al.
,
“
Bio-inspired hybrid microelectrodes: a hybrid solution to improve long-term performance of chronic intracortical implants.
”
,
Front Neuroeng.
, vol. 7, no. 7, 2014.
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A. Duff
,
Lepora, N. F.
,
Mura, A.
,
Prescott, J. P.
, and
Verschure, P. F. M. J.
,
“
Biomimetic and Biohybrid Systems
”
,
Third International Conference, Living Machines 2014, Milan, Italy, July 30 – August 1, 2014.
, vol. 8608 . 2014.
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P. DeLellis
and
et, al.
,
“
Collective behaviour across animal species.
”
,
Scientific Reports
, vol. 4, no. 3723, 2014.
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G. Deco
and
Kringelbach, M. L.
,
“
Great expectations: using whole-brain computational connectomics for understanding neuropsychiatric disorders.
”
,
Neuron
, vol. 84, no. 5, 2014.
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G. Marcus
,
Marblestone, A.
, and
Dean, T.
,
“
Neuroscience. The atoms of neural computation.
”
,
Science
, vol. 346, no. 6209, pp. 551-2, 2014.
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H. Duan
and
Sun, C.
,
“
Swarm intelligence inspired shills and the evolution of cooperation
”
,
Scientific Reports
, vol. 4, no. 5210, 2014.
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M. Maniadakis
,
Wittmann, M.
,
Droit-Volet, S.
, and
Choe, Y. 4.
,
“
Toward embodied artificial cognition: TIME is on my side.
”
,
Frontiers in neurorobotics
, vol. 8, no. 25, 2014.
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2015
X. Arsiwalla
,
Dalmazzo, D.
,
Zucca, R.
,
Betella, A.
,
Brandi, S.
,
Martinez, E.
,
P., O.
, and
Verschure, P. &
,
“
Connectomics to Semantomics: Addressing the Brain's Big Data Challenge
”
,
Procedia Computer Science
, vol. 53, pp. 48-55, 2015.
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