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Journal Article

“Evolving Self-Organizing Behaviors for a Swarm-Bot”, Autonomous Robots, vol. 17, no. 2-3, 2004.

F. Pasemann, Rempis, C., and von Twickel, A., “Evolving Humanoid Behaviors for Language Games ”, Language Grounding in Robots, pp. 67-86, 2012.

D. Floreano and J. Urzelai, “Evolutionary robots with on-line self-organization and behavioral fitness ”, Neural Networks , vol. 13, no. 4-5, 2000.

G. Morlino, Trianni, V., and Tuci, E., “Evolution of Collective Perception in a Group of Autonomous Robots ”, Computational Intelligence, vol. 399, pp. 67-80, 2012.

G. Morlino, Trianni, V., and Tuci, E., “Evolution of Collective Perception in a Group of Autonomous Robots ”, Studies in Computational Intelligence, vol. 399, pp. 67-80, 2012.

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.

H. Mostafa, Muller, L. K., and Indiveri, G. &, “An event-based architecture for solving constraint satisfaction problems. ”, Nature communications, vol. 6, 2015.

M. Xu, Shuxiang, G., Nan, X., and Shunichi, Y., “Evaluating performance of a novel developed robotic catheter manipulating system”, Journal of Micro-Bio Robotics , vol. ISSN: 2194-6418, 2013.

N. Bredeche, Montanier, J. - M., Liu, W., and Winfield, A. F. T., “Environment-driven distributed evolutionary adaptation in a population of autonomous robotic agents”, Mathematical and Computer Modelling of Dynamical Systems, vol. 18, no. 1, pp. 101-129, 2012.

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.

W. C. Messner, Paik, J., Shepherd, R., Sangbae, K., and Trimmer, B. A., “Energy for Biomimetic Robots: Challenges and Solutions”, Soft Robotics. , vol. 1, no. 2, pp. 106-109, 2014.

J. B. Mouret and Doncieux, S., “Encouraging behavioral diversity in evolutionary robotics: An empirical study”, Evolutionary Computation, vol. 20, no. 1, 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.

G. Maffei, Santos-Pata, D., Marcos, E., Sanchez-Fibla, M., and Verschure, P. F. &, “An embodied biologically constrained model of foraging: from classical and operant conditioning to adaptive real-world behavior in DAC-X.”, Neural Networks, vol. 72, pp. 88-108, 2015.

M. Sim and Kim, D. E., “Electrolocation of multiple objects based on temporal sweep motions”, Adaptive Behavior, 2012.

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.

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.

C. Wise, Pawlyn, M., and Braungart, M., “Eco-engineering: Living in a materials world”, Nature, vol. 494 , no. 7436, 2013.

Conference Proceedings

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.

Book

Dario Floreano and Stefano Nolfi, Evolutionary robotics: The biology, intelligence, and technology of self-organizing machines. Mit Press, 2004, 2004.

Stefano Nolfi and Dario Floreano, Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines. Bradford Company Scituate, MA, USA ©2004 , 2004.