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Author Title [ Type(Desc)] Year
Journal Article
Y. Li, Shimizu, E., and Ito, M., Development of under water-use humanoid robot , Artificial Life and Robotics, vol. 16, no. 4, 2011.
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.
M. Mahmud and Vassanelli, S. &, Differential Modulation of Excitatory and Inhibitory Neurons during Periodic Stimulation., Frontiers in neuroscience., vol. 10, 2016.
Y. Du, Liu, B., Xu, M., Dong, E., Zhang, S., and Yang, J. &, Dynamic characteristics of planar bending actuator embedded with shape memory alloy., Mechatronics, 25, 18-26. (2015), vol. 25, pp. 18-26, 2015.
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.
C. Wise, Pawlyn, M., and Braungart, M., Eco-engineering: Living in a materials world, Nature, vol. 494 , no. 7436, 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.
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.
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.
J. B. Mouret and Doncieux, S., Encouraging behavioral diversity in evolutionary robotics: An empirical study, Evolutionary Computation, vol. 20, no. 1, 2012.
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.
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.
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.
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.
H. Mostafa, Muller, L. K., and Indiveri, G. &, An event-based architecture for solving constraint satisfaction problems. , Nature communications, vol. 6, 2015.
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. 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.
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.
D. Floreano and J. Urzelai, Evolutionary robots with on-line self-organization and behavioral fitness , Neural Networks , vol. 13, no. 4-5, 2000.
F. Pasemann, Rempis, C., and von Twickel, A., Evolving Humanoid Behaviors for Language Games , Language Grounding in Robots, pp. 67-86, 2012.
Evolving Self-Organizing Behaviors for a Swarm-Bot, Autonomous Robots, vol. 17, no. 2-3, 2004.
S. Marras and Porfiri, M., Fish and robots swimming together: attraction towards the robot demands biomimetic locomotion, Journal of The Royal Society, 2012.
S. Bermudez i Badia, Pyk, P., and Verschure, P. M. J. F., A fly-locust based neuronal control system applied to an unmanned aerial vehicle: the invertebrate neuronal principles for course stabilization, altitude control and collision avoidance, The International Journal of Robotics Research, vol. 26, 2007.