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Book Chapter
D. Yun, Kyung, J., and Park, C., Analysis on the Robotic Fish Propulsion for Various Caudal Fin Shapes, in Advances in Intelligent Systems and Computing, vol. 193, Springer Berlin Heidelberg, 2013, pp. 559-566.
R. K. Katzschmann, Marchese, A. D., and Rus, D. &, Hydraulic autonomous soft robotic fish for 3D swimming., in In Experimental Robotics , International Publishing: Springer , 2015, pp. pp. 405-420 .
R. S. King, State of the Art in Robotics and Robotic Actuation, in ‘BiLBIQ: A biologically inspired Robot with walking and rolling locomotion, 2012th ed., vol. 2, 2012.
Journal Article
M. Cianchetti, Calisti, M., Margheri, L., Kuba, M., and Laschi, C. &, Bioinspired locomotion and grasping in water: the soft eight-arm OCTOPUS robot., Bioinspiration & biomimetics, vol. 10 , no. 3, 2015.
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.
V. Kopman, Laut, J., Polverino, G., and Porfir, M., Closed-loop control of zebrafish response using a bioinspired robotic-fish in a preference test, J. R. Soc. Interface, vol. 10, no. 78, 2012.
Kim KJ and Cho SB, A comprehensive overview of the applications of artificial life., Artif Life. , vol. 12, no. 1, 2006.
Kevin Gurney, Prescott, T. J., Jeffery R. Wickens,, and Peter Redgrave, Computational models of the basal ganglia: from robots to membranes , Trends in Neurosciences , vol. 27, no. 8, 2004.
V. Kopman and Porfiri, M., Design, Modeling, and Characterization of a Miniature Robotic Fish for Research and Education in Biomimetics and Bioinspiration , IEEE/ASME TRANSACTIONS ON MECHATRONICS, vol. 18, no. 2, 2013.
S. Bartsch, Birnschein, T., Römmermann, M., Hilljegerdes, J., Kühn, D., and Kirch, F., Development of the six-legged walking and climbing robot spaceclimber, Journal of Field Robotics, 2012.
S. Bartsch, Birnschein, T., Römmermann, M., Hilljegerdes, J., Kühn, D., and Kirch, F., Development of the six-legged walking and climbing robot spaceclimber, Journal of Field Robotics, 2012.
M. Sim and Kim, D. E., Electrolocation of multiple objects based on temporal sweep motions, Adaptive Behavior, 2012.
R. Berdan, Vasilaki, E., Khiat, A., Indiveri, G., Serb, A., and Prodromakis, T. &, Emulating short-term synaptic dynamics with memristive devices., Scientific reports, vol. 6, 2016.
R. A. Grant, Haidarliu, S., Kennerley, N. J., and Prescott, T. J., The evolution of active vibrissal sensing in mammals: Evidence from vibrissal musculature and function in the marsupial possum Monodelphis domestica., Journal of Experimental Biology, vol. 216, no. 18, 2013.
G. Deco and Kringelbach, M. L., Great expectations: using whole-brain computational connectomics for understanding neuropsychiatric disorders., Neuron, vol. 84, no. 5, 2014.
R. Leonardo, Arianna, M., and Keisuke, M., Guest editorial introduction to the Special Issue on bio-hybrid systems and living machines, Biomedical Microdevices, vol. 14 , no. 6, 2012.
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.
T. J. Prescott, Peter Redgrave,, and Kevin Gurney, Layered Control Architectures in Robots and Vertebrates, Adaptive Behavior , vol. 7 , no. 1, 1999.
M. A. Sanchez-Montanes, König, P., and Verschure, P. M. J. F., Learning sensory maps with real-world stimuli in real time using a biophysically realistic learning rule, Neural Networks, IEEE Transactions on Neural Networks, vol. 13, no. 3 , 2002.
S. Budday, Raybaud, C., and Kuhl, E., A mechanical model predicts morphological abnormalities in the developing human brain, Scientific Reports, vol. 4, no. 5644, 2014.
N. Ando, Emoto, S., and Kanzaki, R., Odour-tracking capability of a silkmoth driving a mobile robot with turning bias and time delay, Bioinspiration & Biomimetics, vol. 8, no. 1, 2013.
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.
M. Khoramshahi, Bidgoly, H. J., Shafiee, S., Asaei, A., and Ijspeert, A. J., Piecewise linear spine for speed-energy efficiency trade-off in quadruped robots, Robotics And Autonomous Systems, vol. 61, no. 12, 2013.
J. Knüsel, Bicanski, A., Ryczko, D., Cabelguen, J. M., and Ijspeert, A., A Salamander’s Flexible Spinal Network for Locomotion, Modeled at Two Levels of Abstraction, Integrative and Comparative Biology, 2013.
P. Krčah, Solving Deceptive Tasks in Robot Body-Brain Co-evolution by Searching for Behavioral Novelty , Advances in Robotics and Virtual Reality, vol. 26, pp. 167-186, 2012.

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