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Smooth and Energy Saving Gait Planning for Humanoid Robot Using Geodesics

机译:基于测地线的仿人机器人平稳节能步态规划

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A novel gait planning method using geodesics for humanoid robot is given in this paper. Both the linear inverted pendulum model and the exact Single Support Phase (SSP) are studied in our energy optimal gait planning based on geodesics. The kinetic energy of a 2-dimension linear inverted pendulum is obtained at first. We regard the kinetic energy as the Riemannian metric and the geodesic on this metric is studied and this is the shortest line between two points on the Riemannian surface. This geodesic is the optimal kinetic energy gait for the COG because the kinetic energy along geodesic is invariant according to the geometric property of geodesics and the walking is smooth and energy saving. Then the walking in Single Support Phase is studied and the energy optimal gait for the swing leg is obtained using our geodesics method. Finally, experiments using state-of-the-art method and using our geodesics optimization method are carried out respectively and the corresponding currents of the joint motors are recorded. With the currents comparing results, the feasibility of this new gait planning method is verified.
机译:提出了一种基于测地线的人形机器人步态规划方法。在基于测地线的能量最佳步态规划中,研究了线性倒立摆模型和精确的单支撑相位(SSP)。首先获得二维线性倒立摆的动能。我们将动能视为黎曼度量,并研究了该度量上的测地线,这是黎曼曲面上两点之间的最短线。该测地线是COG的最佳动能步态,因为沿测地线的动能根据测地线的几何特性是不变的,并且行走平稳且节能。然后研究单支撑阶段的步行,并使用我们的测地线方法获得了摆动腿的能量最佳步态。最后,分别使用最先进的方法和我们的测地线优化方法进行了实验,并记录了联合电动机的相应电流。通过电流比较结果,验证了这种新步态计划方法的可行性。

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