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。
This paper addresses time-invariant gait planning and finite-time nonlinear control strategy for a five-link, four-actuator planar biped robot to realize dynamic walking.
以五杆四驱动的平面双足步行机器人为对象，研究了其动态步行的时不变步态规划和限定时间的非线性控制策略。
The previous control strategy that has been adopted to solve the path planning problem of biped robot can only handle the static or predictable obstacle avoiding problems.
以往的双足机器人路径规划控制策略只能解决静止或以可预测速度运动的障碍物的越障问题。
In the question of on-line control for biped robot to step over dynamic obstacle, the learning time of footstep planning and gait pattern training is a crucial problem.
在双足机器人跨越动态障碍物的在线控制问题中，脚步规划和步态控制的学习时间是关键问题。
In the question of on-line control for biped robot to step over dynamic obstacle, the learning time of footstep planning and gait pattern training is a crucial problem.
在双足机器人跨越动态障碍物的在线控制问题中，脚步规划和步态控制的学习时间是关键问题。
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