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Human-like Walking of Humanoid Robot Based on Biped Kinematics and Captured Motion of Human

机译:基于Biped运动学和捕获的人类的人形机器人的人类的散步

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Human-like walking for humanoid robot is still an open research topic. This article proposes a method to generate real human-like walking pattern for humanoid robot. As walking patterns generated by existing methods differ a lot from these of human, especially for the traditional walking pattern with knee bent and pelvis lower down with a constant height, we started from the modeling of kinematics of the biped mechanism and analyzed the constrains that restrict the flexible motion of the robot legs. Based on the study of captured walking motions of human, we pre-determine the rotation motion of the waist. The two knee joints are planned corresponding with each other to avoid restriction of pelvis workspace. A human-like walking pattern with knee-stretch, high level waist height and smooth waist movement is generated. The walking pattern is verified in a dynamic simulation environment. A stable human-like walking with 0.3m step length and 0.7s step time is realized.
机译:人类的人形机器人的人类走路仍然是一个开放的研究主题。本文提出了一种为人形机器人产生真正的人类行走模式的方法。作为现有方法产生的步行模式不同,这些人类从这些人类不同,特别是对于具有膝盖弯曲的传统行走模式和骨盆以恒定的高度较低,我们从均衡机制的运动学建模开始,并分析了限制的约束机器人腿的柔性运动。基于对人类的捕获行走运动的研究,我们预先确定了腰部的旋转运动。两个膝关节彼此对应,以避免限制骨盆工作空间。产生具有膝盖伸展,高水平腰部高度和光滑腰部运动的人类行走模式。步行模式在动态仿真环境中验证。实现了具有0.3M步长和0.7s步长的稳定的人类行走。

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