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Research on Gait Planning and Inverse Kinematics Solving of Biped Walking Robots

机译:步态规划与逆运动学解决双层行走机器人的研究

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Gait planning and inverse kinematics are becoming more complex with the development of biped walking robots. In this paper we propose a new method to simplify these processes. By applying this method, the angle variation based on the walking pose at each moment can be figured out simultaneously and straightforward without complex calculations. The method starts from a linear inverted pendulum model in three-dimensional Cartesian coordinates which is used for planning the centroid and the walking pose of the robot. Then the kinematics equations in each discrete joint are established to obtain the trajectory of each joint, followed by adopting the space vector angle to solve the robot's inverse kinematics. We finally establish a simulation model of the biped robot using Matlab to test the validity of our method. The results indicate that stable walking and simplified inverse kinematics solving can be realized using our method.
机译:Gait计划和逆运动学随着Biped行走机器人的发展而变得越来越复杂。在本文中,我们提出了一种简化这些过程的新方法。通过应用该方法,可以在每时每刻的行走姿势基于行走姿势的角度变化同时和简单而没有复杂的计算。该方法从三维笛卡尔坐标中的线性倒立摆模型开始,该模型用于规划地质心和机器人的行走姿势。然后建立每个离散关节中的运动学方程以获得每个关节的轨迹,然后采用空间矢量角度来解决机器人的逆运动学。我们终于使用MATLAB建立了Biped机器人的模拟模型来测试我们方法的有效性。结果表明,可以使用我们的方法实现稳定的行走和简化的逆运动学求解。

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