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Implementation and dynamic gait planning of a quadruped bionic robot

机译:四足仿生机器人的实施和动态步态规划

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This paper investigates dynamic gait planning optimization and balance control of quadruped robots under external disturbance forces. First, a platform of quadruped walking robot with fourteen active degrees of freedom is designed. Then, a forward kinematic model of joints is built for quadruped robots based on Denavit-Hartenberg(D-H) method. The inverse kinematic equations are solved to result in joint values when the desired position and orientation are specified. A dynamic gait planning algorithm is proposed and tested on the quadruped robot. The planning function is established to create some point-to-point trajectories. The angle values of the joints can be calculated by using the inverse kinematics equations for every moment. Considering the external distribution a balance control approach is proposed to stabilize the robot based on the information from the attitude sensors. The walking is stabilized by a feedback control that uses a three-axis acceleration sensor. Experiments have been performed on the quadruped robot. The results showed that the proposed methods work well in dynamic gait planning and external disturbances of a quadruped bionic robot.
机译:本文研究了外部干扰力下二次互动机器人的动态步态规划优化和平衡控制。首先,设计了一个具有十四个积极自由度的四足行走机器人平台。然后,基于Denavit-Hartenberg(D-H)方法的四足机器人,建立了一个向前运动模型。求解逆运动型方程,以导致指定所需位置和取向时的关节值。在四足机器人上提出和测试动态步态规划算法。建立规划功能以创建一些点对点轨迹。可以通过使用每时刻的逆运动学方程来计算关节的角度值。考虑到外部分布,建议基于来自姿态传感器的信息来稳定机器人的平衡控制方法。步行通过使用三轴加速度传感器的反馈控制稳定。已经在四足机器人上进行了实验。结果表明,所提出的方法在动态步态规划和外部干扰的巨型仿生机器人的外部干扰工作。

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