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N. S. Szczecinski, Brown, A. E., Bender, J. A., Quinn, R. D., and Ritzmann, R. E., A Neuromechanical Simulation of Insect Walking and Transition to Turning of the Cockroach Blaberus discoidalis, Biological Cybernetics, vol. 108, no. 1, pp. doi:10.1007/s00422-013-0573-3, 2013.
A. Stelzer, Hirschmüller, H., and Görner, M., Stereo-vision-based navigation of a six-legged walking robot in unknown rough terrain, The International Journal of Robotics Research, 2012.
Stefano Nolfi, Co-evolving predator and prey robots, Adaptive Behavior, vol. 20, no. 1, pp. 10-15 , 2011.
Stefano Nolfi and Dario Floreano, Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines. Bradford Company Scituate, MA, USA ©2004 , 2004.
A. Spröwitz, Möckel, R., Vespignani, M., Bonardi, S., and Ijspeert, A., Roombots: A Hardware Perspective on 3D Self-Reconfiguration and Locomotion with a Homogeneous Modular Robot, Robotics and Autonomous Systems, 2013.
Smithers T, Autonomy in robots and other agents., Brain Cogn. , vol. 34, no. 1, 1997.
M. Sim and Kim, D. E., Electrolocation of multiple objects based on temporal sweep motions, Adaptive Behavior, 2012.
M. F. Silva, Malheiro, B., Guedes, P., Ferreira, P., Ribeiro, C., Ferreira, F., and Duarte, A. J. &, Development of biomimetic robots in the EPS engineering programme capstone project., In Proceedings of the 3rd International Conference on Technological Ecosystems for Enhancing Multiculturality. ACM. (2015, October). , pp. pp. 227-234, 2015.
Shih-Chii Liu, Jörg Kramer,, Indiveri, G., Tobias Delbrück,, Thomas Burg,, and Rodney Douglas, Orientation-selective aVLSI spiking neurons, Neural Networks , vol. 14, no. 6-7, 2001.
Q. Shi, Ishii, H., Sugahara, Y., Takanishi, A., Huang, Q., and Fukuda, T. &, Design and control of a biomimetic robotic rat for interaction with laboratory rats., IEEE/ASME Transactions on Mechatronics , vol. 20, no. 4, pp. 1832 - 1842, 2015.
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.
M. J. Schlemmer and Vincze, M., Theoretic foundations of situating cognitive vision in robots and cognitive systems Theoretic foundations of situating cognitive vision in robots and cognitive systems, Journal of Experimental & Theoretical Artificial Intelligence , vol. 24, no. 1, pp. 109-137, 2012.
A. Schierwagen, On reverse engineering in the cognitive and brain sciences , Natural Computing, vol. 11, no. 1, 2012.
Schaal S and Schweighofer N, Computational motor control in humans and robots. , Curr. Opin. Neurobiol., vol. 15, 2005.
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.
Sanz R, Hernández C,, Gómez J,, and Hernando A, A functional approach to emotion in autonomous systems., Adv Exp Med Biol. , vol. 657, 2010.
G. Sandini, Babies and Baby-Humanoids to Study Cognition, in Biologically Inspired Cognitive Architectures 2012, 2013.
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.
M. Sanchez-Fibla, Bernardet U.,, Wasserman E.,, Pelc T.,, Mintz M.,, Jackson J. C.,, ,, and et al, Allostatic Control for Robot Behavior Regulation: a Comparative Rodent-Robot Study, Advances In Complex Systems. , vol. 13, no. 3, 2010.