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3D walking and skating motion generation using divergent component of motion and gauss pseudospectral method

机译:3D步行和滑冰运动生成使用散流组件和高斯假谱法法

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This paper presents a COM trajectory generation method for 3D walking and skating motion by nonlinear optimization. In our method, we solve the following problems: (1) dealing with both walking and skating motion in the same framework, (2) generating center of mass (COM) trajectory faster than execution time, (3) executing motion with large acceleration. For solving (1) and (2), we calculate the COM trajectory at every step and introduce frictional constraints to the Divergent Component of Motion as terminal conditions. By changing the terminal condition, we can generate both skating and walking motion. Besides, the nonlinear constrained optimization using Gauss Pseudospectral Method is introduced for solving (2) and (3). Thanks to this method, we generate the 3D COM trajectory considering contact constraints and kinematic constraints faster than execution time. Finally, the walking and skating experiment were carried out to confirm the effectiveness of our method using life-sized humanoid HRP-2. Applying the proposed method, HRP-2 could successfully walk at 0.4 [m/s] and skate at 1.0 [m/s].
机译:本文介绍了非线性优化3D行走和滑冰运动的COM轨迹生成方法。在我们的方法中,我们解决了以下问题:(1)处理在同一框架中的行走和滑冰运动,(2)生成质量中心(COM)轨迹比执行时间快,(3)执行大加速度的运动。对于求解(1)和(2),我们在每个步骤中计算COM轨迹,并将摩擦约束引入作为终端条件的发散组分。通过改变终端状态,我们可以生成滑冰和行走运动。此外,引入了使用Gauss伪谱法的非线性约束优化,用于求解(2)和(3)。由于这种方法,我们会考虑比执行时间更快地考虑联系约束和运动约束的3D COM轨迹。最后,进行了行走和滑冰实验,以确认我们使用寿命大小的人质HRP-2的方法的有效性。应用提出的方法,HRP-2可以成功地走在0.4 [M / S],并在1.0 [m / s]下滑。

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