一种仿人机器人步态优化的新方法研究

广东工业大学学报 ›› 2012, Vol. 29 ›› Issue (1): 50-54.

一种仿人机器人步态优化的新方法研究

广东工业大学自动化学院，广东广州 510090

出版日期:2012-03-25 发布日期:2012-03-25
作者简介:徐李超（1984-），男，湖北省人，硕士研究生，主要研究方向为智能控制系统.

Gait Optimizing of Humanoid Robots Using a New Method

Faculty of Automation, Guangdong University of Technology, Guangzhou 510090, China

Online:2012-03-25 Published:2012-03-25

摘要/Abstract

摘要： 利用仿人机器人七连杆模型，建立了机器人姿态的位置向量.先用带参数的五次多项式拟合机器人髋关节的位置曲线，然后用非时间参考变量的方式规划出了踝关节和膝关节的运动轨迹.在机器人步行的稳定区域内，通过遗传算法求得了ZMP点偏离脚掌中心距离的最大值，从而确定了髋关节的参数，实现了仿人机器人步态优化.实验证明该方法有效.
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关键词: 仿人机器人；非时间参考；遗传算法；步态优化

Abstract: It uses the sevenlink model for humanoid robots to establish the robot posture vector. First, a polynomical equation with five parameters was used to fit the robot hips curves, and then a nontime reference variable was used to work out the robots ankle and knee trajectories. In the region where the robot can walk stably, the maximum distance for the robots ZMP deviation from the foot center was obtained by using the genetic algorithm. At the same time, the parameters of the hip were determined to optimize the humanoid robot gait. Experimental results show that this method is effective.

Key words: humanoid robots; non-time reference; genetic algorithm; gait optimization

徐李超，张祺. 一种仿人机器人步态优化的新方法研究[J]. 广东工业大学学报, 2012, 29(1): 50-54.

Xu Lichao, Zhang Qi. Gait Optimizing of Humanoid Robots Using a New Method[J]. Journal of Guangdong University of Technology, 2012, 29(1): 50-54.

参考文献

［1］ Chestnutt J, Lau M, Chenug G, et al. Footstep planning for the Honda ASIMO humanoid［C］∥Proceedings of the 2005 IEEE International Conference on Robotics and Automotion. April 1822, 2005, Barcelon, Spain: IEEE, 2005: 629-634.

［2］ Qgura Y, Aikawa H, Shimonura K, et al. Development of a new humanoid robot WABIAN2［C］∥ Proceedings of the 2006 IEEE International Conference on Robotics and Automotion. Orlando, Florida, USA:IEEE,2006:76-81.

［3］ Akachi K, Kaneko K, Kanehira N, et al. Development of humanoid robot HRP3P［C］∥IEEERAS International Conference on Humanoid Robots. Tsukuba, Tokyo:IEEE,2005:50-55.

［4］ Kim JY, Park IW, Oh JH. Walking control algorithm of biped humanoid robot on uneven and inclined floor［J］. Journal of Intelligent Robots and System, 2007,48(4):457-484.

［5］王建文. 仿人机器人运动学和动力学分析［D］. 长沙：国防科技大学,2003.

［6］ Huang Q, Kajita S, Koyachi N, et al. A high stability, smooth walking pattern for a biped robot［C］∥Proceedings of 1999 IEEE International Conference on Robotics and Automation. Detroit, MI, USA: IEEE,1999:65-71.

［7］姜山，程军实，成佳品,等. 基于遗传算法的两足机器人步态优化［J］. 上海交通大学学报,1999,33(10):1280-1283. 

［8］梁少芳. 仿人机器人步态规划及其控制系统研究［D］. 广州：广东工业大学, 2010.

［9］柯显信. 仿人形机器人双足动态步行研究［D］. 上海：上海大学, 2005.〖ZK)〗

［10］梶田秀司. 仿人机器人［M］. 管贻生,译. 北京：清华大学出版社,2007: 99-103.

［11］王小平, 曹立明. 遗传算法理论应用与软件实现［M］. 西安：西安交通大学出版社, 2002:104-122.

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