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A. Gams, Petrič, T., and Babič, J., Effects of Robotic Knee Exoskeleton on Human Energy Expenditure, IEEE Transactions on Biomedical Engineering, vol. 60, no. 6, 2013.
R. George, Mayr, C., Indiveri, G., and Vassanelli, S. &, Event-based softcore processor in a biohybrid setup applied to structural plasticity., In Event-based Control, Communication, and Signal Processing (EBCCSP). pp. pp. 1-4, 2015.
Gibson J J, “The theory of affordances,” in Perceiving, Acting, and Knowing. Towards an Ecological Psychology. Hoboken, NJ: John Wiley & Sons Inc., 1977, pp. 127–143.
A. S. Gladman, Matsumoto, E. A., Nuzzo, R. G., Mahadevan, L., and Lewis, J. A. &, Biomimetic 4D printing. , Nature materials, vol. 15, pp. 413–418 , 2016.
GM., Edelman, Learning in and from brain-based devices., Science, vol. 318, no. 5853, pp. 1103-5, 2007.
S. N. Gorb, Insect-Inspired Technologies: Insects as a Source for Biomimetics , in Insect Biotechnology, vol. 2, 2011, pp. 241-264.
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.
Grillner S, The motor infrastructure: from ion channels to neuronal networks., Nat Rev Neurosci., vol. 4, no. 7, 2003.
B. J. Guo and Wang, K., Dexterous Robot’s Finger Actuated by Pneumatic Artificial Muscle, Advanced Materials Research, vol. 383 - 390, pp. 920-924, 2011.
Q. Guo, Wang, S. G., Li, X. B., and Cao, Z. L., The Mechanical Structure Design of Behavior Training System, Applied Mechanics and Materials, vol. 151, 2012.