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双足机器人步态控制研究方法综述
引用本文:胡凌云,孙增圻.双足机器人步态控制研究方法综述[J].计算机研究与发展,2005,42(5):728-733.
作者姓名:胡凌云  孙增圻
作者单位:清华大学计算机科学与技术系智能技术与系统国家重点实验室,北京,100084
基金项目:国家“八六三”高技术研究发展计划基金项目(2003AA42001003),国家“九七三”重点基础研究发展规划基金项目(G2002cb312205),国家自然科学基金项目(60174018,60305008,90205008)
摘    要:概括地介绍了双足机器人步态控制领域内的主要研究思路.详细阐述了基于双足动力学特征的3种建模方法,包括倒立摆模型、被动步态模型、质量弹簧模型的特点.另外讨论了两种常用的约束条件(稳定判据与能量约束)和3种智能控制方法(神经元理论、模糊逻辑与遗传算法)在双足机器人步态控制中的研究情况.

关 键 词:双足机器人  模型  约束  智能控制

Survey on Gait Control Strategies for Biped Robot
Hu Lingyun,Sun Zengqi.Survey on Gait Control Strategies for Biped Robot[J].Journal of Computer Research and Development,2005,42(5):728-733.
Authors:Hu Lingyun  Sun Zengqi
Abstract:As humanoid robots shift from research lab to human living environment, biped robots play a more important role in recent research Peoples are attracted by biped robots for the difficulties in gait control since their dynamic equations are high-order highly-coupled and nonlinear This paper presented the basic concepts in biped gait and major research methods in the filed of biped gait optimization and control Characters of three major models including inverted pendulum, passive gait model and mass-spring model are thoroughly discussed Advantages and disadvantages of all these three models are exhibited by comparison Followed with it, the two kinds of usually used constraints, stability criterion and energy constraint are introduced with abundant examples For stability criterion, zero moment point (ZMP) criterion as the most useful constraints in biped gait generation research is emphasized Finally three intelligent control methods (neuron network, fuzzy logic and genetic algorithm) with their combination methods (fuzzy neuron network, genetic neuron network and so on) were introduced at the end of this paper
Keywords:biped robot  model  constraint  intelligent control
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