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Journal Article

Y. Liu, Zhang, L., Song, Q., Shuang, F., and Ge, Y., “Design and Investigation on Control System of a Rehabilitation Robot Based on Walking Gait”, Advances in Computer, Communication, Control and Automation, vol. 121, 2012.

Y. Liu, Zhang, L., Song, Q., Shuang, F., and Ge, Y., “Design and Investigation on Control System of a Rehabilitation Robot Based on Walking Gait”, Advances in Computer, Communication, Control and Automation, vol. 121, 2012.

M. Cynober, Saito, Y., and Chaillet, N., “Development of an automatic and mobile X-ray robot: An innovative approach to medical imaging through mechatronics”, Journal of the Franklin Institute, 2012.

Y. Li, Shimizu, E., and Ito, M., “Development of under water-use humanoid robot ”, Artificial Life and Robotics, vol. 16, no. 4, 2011.

A. J. Ijspeert, Nakanishi, J., Hoffmann, H., Pastor, P., and Schaal, S., “ Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors”, Neural Computation, vol. 25, no. 2, 2013.

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.

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

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.

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.

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.

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.

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.

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.

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.

Sanz R, Hernández C,, Gómez J,, and Hernando A, “A functional approach to emotion in autonomous systems.”, Adv Exp Med Biol. , vol. 657, 2010.

F. L. Moro, Spröwitz, A., Tuleu, A., Vespignani, M., and Tsagarakis, N. G., “Horse-like walking, trotting, and galloping derived from kinematic Motion Primitives (kMPs) and their application to walk/trot transitions in a compliant quadruped robot”, 107, vol. 3, 2013.

A. E. Rawlings, Bramble, J. P., and Staniland, S. S., “Innovation through imitation: biomimetic, bioinspired and biokleptic research”, Soft Matter, vol. 9, no. 7, 2013.

F. Li, Liu, W., Fu, X., Bonsignori, G., Scarfogliero, U., Stefanini, C., and Paolo Dario, “Jumping like an insect: Design and dynamic optimization of a jumping mini robot based on bio-mimetic inspiration”, Mechatronics, vol. 22, no. 2, 2012.

F. Li, Liu, W., Fu, X., Bonsignori, G., Scarfogliero, U., Stefanini, C., and Paolo Dario, “Jumping like an insect: Design and dynamic optimization of a jumping mini robot based on bio-mimetic inspiration”, Mechatronics, vol. 22, no. 2, 2012.

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.

Y. Zhang, Li, L., Zhou, Y., Su, T., Ma, J. - T., and Hu, X. - M., “Multi-sensor Augmented Reality Tracking Based on Robot Hand-Eye Calibration ”, Advances in Intelligent and Soft Computing, vol. 137, pp. 51-57, 2012.

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.

Y. Zhong, Shirinzadeh, B., and Yuan, X., “Optimal robot path planning with cellular neural network”, International Journal of Intelligent Mechatronics and Robotics, vol. 1, no. 1, 2011.

G. M. Viswanathan, Buldyrev, S. V., Havlin, S., da Luz, M. G. E., Raposo, E. P., and Stanley, H. E., “ Optimizing the success of random searches”, Nature, vol. 401, no. 6756, 1999.

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.

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