[1] Graf C, Rfer T. A center of mass observing 3D-LIPM gait for the RoboCup standard platform league humanoid[C]// Springer Berlin Heidelberg: Robot Soccer World Cup. 2011:101-112.
[2] Kuo A D, Donelan J M, Ruina A. Energetic consequences of walking like an inverted pendulum: Step-to-step transitions[J]. Exercise and Sport Sciences Reviews, 2005,33(2):88-97.
[3] Guo Fayong, Zhao Jianghai, Mei Tao, et al. A modified gait generator for humanoid robots based on height compensation of center of mass[C]// 2014 IEEE International Conference on Robotics and Biomimetics(ROBIO). 2014:1278-1283.
[4] Hong Y D, Lee K B. Stable walking of humanoid robots using vertical center of mass and foot motions by an evolutionary optimized central pattern generator[J]. International Journal of Advanced Robotic System, 2016,13(1):27.
[5] Macalpine P, Barrett S, Urieli D, et al. Design and optimization of an omnidirectional humanoid walk: A winning approach at the RoboCup 2011 3D simulation competition[C]// Proceedings of the 26th AAAI Conference on Artificial Intelligence. 2012:1047-1053.
[6] Hansen N. The CMA Evolution Strategy: A Tutorial[EB/OL]. http://www2.fiit.stuba.sk/~kvasnicka/Seminar_of_AI/Hansen_CMA_tutorial.pdf, 2009-01-18.
[7] Shafii N, Aslani S, Nezami O M, et al. Evolution of biped walking using truncated fourier series and particle swarm optimization[M]// RoboCup 2009: Robot Soccer World Cup XIII. 2009:344-354.
[8] Kajita S, Nagasaki T, Yokoi K, et al. Running pattern generation for a humanoid robot[C]// Proceedings of 2002 IEEE International Conference on Robotics and Automation. 2002:2755-2761.
[9] Kagami S, Kitagawa T, Nishiwaki K, et al. A fast dynamically equilibrated walking trajectory generation method of humanoid robot[J]. Autonomous Robots, 2002,12(1):71-82.
[10]MacAlpine P, Depinet M, Stone P. UT Austin Villa 2014: RoboCup 3D simulation league champion via overlapping layered learning[C]// Proceedings of the 29th AAAI Conference Intelligence(AAAI-15). 2015:2842-2848.
[11]Shafii N, Lau N, Reis L P. Learning to walk fast: Optimized hip height movement for simulated and real humanoid robots[J]. Journal of Intelligent & Robotic Systems, 2015,80(3-4):555-571.
[12]Erbatur K, Kurt O. Natural ZMP trajectories for biped robot reference generation[J]. IEEE Transactions on Industrial Electronics, 2009,56(3):835-845.
[13]李春光. 仿人机器人运动规划与蜂拥控制研究[D]. 无锡:江南大学, 2015.
[14]蔡朝宏,江红. 一种双足步行的累积分层优化方法[J]. 小型微型计算机系统, 2013,34(5):1132-1136.
[15]Xu Yuan, Vatankhah H. Simspark: An open source robot simulator developed by the RoboCup community[C]// Proceedings of the 17th Annual RoboCup International Symposium. 2013:632-639.
[16]Farchy A, Barrett S, MacAlpine P, et al. Humanoid robots learning to walk faster: From the real world to simulation and back[C]// Proceedings of 2013 International Conference on Autonomous Agents and Multi-agent Systems. 2013:39-46.
[17]Li Chunguang, Tao Chongben, Liu Guodong, et al. Quantized flocking control for second-order multiple agents with obstacle avoidance[J]. Advances in Mechanical Engineering, 2016,8(1). |