The paper presents a fuzzy neural networks hybrid control of biped robot control problem.
针对双足机器人控制问题，提出了一种基于模糊神经网络的混杂控制方法。
Quadruped robot possesses the preferred all-round performance in legged robot field for its better stability than biped, and the mechanism and control system is simpler than hexapod and octopod.
由于四足机器人静态稳定性能大大优于双足机器人，而且机构的冗余和控制复杂程度比六足和八足简单，因此四足结构在足式机器人领域具有较好的综合性能。
The hierarchical control system integrated with a direct and real time modified algorithms for biped robot based on information obtained from some sensors was described.
提出了一种基于多传感器信息和实时修正算法的双足机器人分级递阶行走控制结构。
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