[1] Dickinson M, Farley C, Full R, Koehl M A R, Kram R, Lehman S. How animals move: an integrative view. Science, 2000, 5463, 100–106.
[2] Wu Q, Liu C, Zhang J, Chen Q. Survey of locomotion con-trol of legged robots inspired bybiological concept. Science in China (Series F), 2009, 10, 1715–1729.
[3] Ayers J, Witting J. Biomimetic approaches to the control of underwater walking machines. Philosophical Transactions: Mathematical, Physical and Engineering Sciences (Series A), 2007, 1850, 273–295.
[4] Pinto C, Rocha D, Santos C, Matos V. A new CPG model for the generation of modular trajectories for hexapod robots. The Proceedings of International Conference on Numerical Analysis and Applied Mathematics, Halkidiki, Greece, 2011, 504–508.
[5] Ijspeert A J, Crespi A, Ryczko D, Cabelguen J. From swimming to walking with a salamander robot driven by a spinal cord model. Science, 2007, 5817, 1416–1420.
[6] Kimura H, Fukuoka Y, Cohen A H. Adaptive dynamic walking of a quadruped robot on natural ground based on biological concepts. International Journal of Robotics Re-search, 2007, 5, 475–490.
[7] Saif S. Central pattern generator parameter search for a biped walking robot. European Journal of Scientific Re-search, 2011, 3, 466–477.
[8] Wang X, Li M, Wang P, Guo W, Sun L. Bio-inspired con-troller for a robot cheetah with a neural mechanism control-ling leg muscles. Journal of Bionic Engineering, 2012, 9, 282–293.
[9] Raibert M H, Chepponis M A, Brown H B. Experiments in balance with a 3D one-legged hopping machine. Interna-tional Journal of Robotics Research, 1984, 3, 75–92.
[10] Raibert M H, Chepponis M A, Brown H B. Running on four legs as though they were one. International Journal of Ro-botics and Automation, 1986, 2, 70–82.
[11] Kuo A D. The six determinants of gait and the inverted pendulum analogy: a dynamic walking perspective. Human Movement Science, 2007, 26, 617–656.
[12] Kohl N, Stone P. Policy gradient reinforcement learning for fast quadruped locomotion. The Proceedings of IEEE In-ternational Conference on Robotics and Automation, New Orleans, LA, USA, 2004, 2619–2624.
[13] Soni V, Singh S. Reinforcement learning of hierarchical skills on the Sony AIBO robot. The Proceedings of the 5th International Conference on Development and Learning, Bloomington, IN, USA, 2006, 1231–1237.
[14] Zhang J, Chen Q. Learning based gaits evolution for an AIBO dog. The Proceedings of IEEE Congress on Evolu-tionary Computation, Singapore, 2007, 1523–1526.
[15] McGeer T. Passive dynamic walking. International Journal of Robotics Research, 1990, 9, 62–82.
[16] Kuo A D. Energetics of actively powered locomotion using the simplest walking model. Journal of Biomechanical En-gineering, 2002, 124, 113–120.
[17] Wisse M. Three additions to passive dynamic walking: Actuation, an upper body, and 3d stability. International Journal of Humanoid Robotics, 2005, 2, 459–478.
[18] Collins S, Ruina A, Tedrake R, Wisse M. Efficient bipedal robots based on passive-dynamic walkers. Science, 2005, 307, 1082–1085.
[19] Matsuoka K. Mechanisms of frequency and pattern control in the neural rhythm generators. Biological Cybernetics, 1987, 56, 345–353.
[20] Acebron J A, Bonilla L L, Vicente C J P. The Kuramoto model: A simple paradigm for synchronization phenomena. Reviews of Modern Physics, 2005, 77, 137–185.
[21] Liu C, Chen Q, Zhang J. Coupled Van der Pol oscillators utilised as central pattern generators for quadruped locomo-tion. The Proceedings of Chinese Control and Decision Conference, Guilin, China, 2009, 3677–3682.
[22] Spröwitz A, Tuleu A, Vespignani M, Ajallooeian M, Badri E, Ijspeert A J. Towards dynamic trot gait locomotion: design, control, and experiments with Cheetah-cub, a compliant quadruped robot. International Journal of Robotics Re-search, 2013, 8, 932–950.
[23] Semini C, Tsagarakis N G, Guglielmino E, Focchi M, Cannella F, Caldwell D G. Design of HyQ - a hydraulically and electrically actuated quadruped robot. The Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2011, 6, 831–849.
[24] Tian W, Cong Q, Menon C. Investigation on walking and pacing stability of German shepherd dog for different lo-comotion speeds. Journal of Bionic Engineering, 2011, 8, 18–24.
[25] Tang C, Ma S, Li B, Wang Y. A self-tuning multi-phase CPG enabling the snake robot to adapt to environments. The Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, CA, USA, 2011, 1869–1874.
[26] Righetti L, Buchli J, Ijspeert A J. Dynamic hebbian learning in adaptive frequency oscillators. Physica D, 2006, 2, 269–281.
[27] Zhang J, Zhao X, Qi C. A series inspired CPG model for robot walking control. The Proceedings of the 11th Inter-national Conference on Machine Learning and Applications, Boca Raton, FL, USA, 2012, 444–447.
|