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Walking control around singularity using a Spherical Inverted Pendulum with an Underfloor Pivot

机译:使用带有地板下枢轴的球形倒立摆控制奇异点

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Humans utilize the configuration with extended knees to achieve efficient walk. A humanoid robot, however, cannot do so, since this posture is a singular configuration. In order to tackle this problem, in our previous work, a walking pattern generator based on the spherical inverted pendulum model has been proposed. It enables to generate up-and-down waist motions and utilizes the singularity neighborhood in the middle of each support phase. However, the spherical inverted pendulum model cannot move the ZMP during each single support phase. In this paper, we propose a new approach to generate a walking pattern based on a Spherical Inverted Pendulum model with an Underfloor Pivot (the SIPUP method). With this method, the ZMP gains mobility during each singleleg support phase, and walking with a smaller acceleration is achieved. In addition, it becomes easy to utilize the singularity neighborhood. As a result, the knee joint can be almost fully extended (to less than 0.01 rad). Experimental results show the effectiveness of our approach.
机译:人类利用膝盖伸直的姿势来实现有效的行走。但是,类人机器人无法这样做,因为该姿势是单数配置。为了解决这个问题,在我们以前的工作中,已经提出了一种基于球形倒立摆模型的行走模式发生器。它可以产生上下腰部运动,并在每个支撑阶段的中间利用奇异性邻域。但是,球形倒立摆模型无法在每个单个支撑阶段移动ZMP。在本文中,我们提出了一种新的方法,该方法基于带有下枢轴的球面倒立摆模型(SIPUP方法)来生成步行模式。使用这种方法,ZMP在每个单腿支撑阶段都获得了移动性,并且以较小的加速度实现了步行。另外,利用奇异性邻域变得容易。结果,膝关节几乎可以完全伸展(小于0.01 rad)。实验结果表明了该方法的有效性。

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