Humanoid 3D Gait Generation Based on Inverted Pendulum Model

Zhe Tang, M. Er
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引用次数: 25

Abstract

A planning method for humanoid walking is proposed in this paper. In this method, IPM (inverted pendulum model) is used as a dynamic model for humanoid robots. Whereby ZMP (zero moment point) constraints of the robot are analyzed in the IPM motion, and the COG (center of gravity) motion of IPM is to approximate the COG motion of robots. The kinematic model of the robot for walking planning is based on a typical model with 12 DOFs (degree of freedom) of legs. After the robot COG motion and two legs motion are generated, and 3D kinematic constraints are satisfied, the angles of every DOFs are obtained. These angular trajectories are used to control the real robots. Simulation experiments are conducted to verify the effectiveness of our proposed walking planning method.
基于倒立摆模型的仿人三维步态生成
提出了一种仿人行走的规划方法。该方法采用倒立摆模型(IPM)作为仿人机器人的动力学模型。其中分析了机器人在IPM运动中的零力矩点约束,IPM的重心运动近似于机器人的COG运动。机器人行走规划的运动学模型是基于典型的12个腿自由度模型。生成机器人的齿轮运动和两腿运动,并满足三维运动学约束后,得到各自由度的角度。这些角轨迹被用来控制真实的机器人。仿真实验验证了所提出的步行规划方法的有效性。
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