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Walking analyses of a humanoid by visual-lifting approach

机译:通过视觉提升方法对人形机器人进行步行分析

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Biped locomotion created by a controller based on ZMP known as reliable control method looks different from human's walking on the view point that ZMP-based walking does not include tipping-over state. However, the walking control that does not depend on ZMP is vulnerable to turnover. Therefore, we propose walking stabilizer based on visual feedback to enhance standing robustness and prevent the robot from falling down. Simulation results indicate that this stabilizer helps stabilize pose and bipedal walking even though ZMP is not kept inside convex hull of supporting area. In this report, we discuss proposed visual-lifting approach in conjunction wish arms' swinging motion on a viewpoint that the arms' motion helps improve walking efficiency.
机译:从基于ZMP的行走不包括翻倒状态的角度来看,由基于ZMP的控制器创建的Biped运动被称为可靠的控制方法,它看起来与人的行走不同。但是,不依赖ZMP的步行控制很容易发生营业额变化。因此,我们提出了基于视觉反馈的步行稳定器,以增强站立稳定性并防止机器人跌落。仿真结果表明,即使ZMP没有保持在支撑区域的凸包内,该稳定器也有助于稳定姿势和双足行走。在本报告中,我们从手臂的运动有助于提高步行效率的角度出发,结合希望手臂的摆动运动讨论了提出的视觉提升方法。

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