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Optimal three-dimensional biped walking pattern generation based on geodesics

机译:基于大测地测的最佳三维双步行走模式生成

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摘要

The innovative three-dimensional humanoid biped gait planning method using geodesics is introduced in this article. In order to control three-dimensional walking, the three-dimensional linear inverted pendulum model is studied in our energy-optimal gait planning based on geodesics. The kinetic energy of the three-dimensional linear inverted pendulum model is calculated at first. Based on this kinetic energy model, the Riemannian metric is defined and the Riemannian surface is further determined by this Riemannian metric. The geodesic is the shortest line between two points on the Riemannian surface. This geodesic is the optimal kinetic energy gait for the center of gravity because the kinetic energy along the geodesic is invariant according to the geometric property of geodesics and the walking is energy-saving. Finally, a simulation experiment using a 12-degree-of-freedom biped robot model is implemented. The gait sequences of the simulated RoboErectus humanoid robot are obtained in the ROS (Robot Operating System) Gazebo environment. The proposed geodesics approach is compared with the traditional sinusoidal interpolation method by analyzing the torque feedback of each joint of both legs, and our geodesics optimization gait planning method for three-dimensional linear inverted pendulum model walking control is verified by the assessment results.
机译:本文介绍了使用测地仪的创新的三维人型双向平时规划方法。为了控制三维行走,在我们基于测地测学的能量最优步态规划中研究了三维线性倒立摆模型。首先计算三维线性倒置摆的动能。基于这种动能模型,定义了黎曼公制,并且通过该riemannian度量进一步确定了黎曼表面。测地值是黎曼表面上的两点之间的最短线。该测距仪是重心的最佳动能步态,因为根据测力学的几何特性,沿着测地的动能是不变的,并且行走是节能的。最后,实施了使用12级自由度的双层机器人模型的仿真实验。在ROS(机器人操作系统)凉亭环境中获得了模拟Roboerectus人形机器人的步态序列。通过分析腿部每个接头的扭矩反馈来比较所提出的测地测学方法,我们通过评估结果验证了对三维线性倒立摆的测量方法步行控制的高音线性倒立摆的规划方法。

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