Automatic Adaptation to Step-Climbing in Elastically Coupled Dual Legged-Wheels

IF 4.6 2区 计算机科学 Q2 ROBOTICS
Y. Fukuoka;H. Okabe;Y. Nakamura;H. Shirado;T. Koyano
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引用次数: 0

Abstract

We develop a mobile platform design for commercial vehicles intended to transport a wide range of weights over paved roads with relatively high steps. We propose a transformable wheel mechanism called the dual legged-wheel (DLW) system, each with a tri-legged structure coaxially connected out-of-phase through a unique elastic mechanism that enables automatic adaptation to step-climbing, eliminating the need for terrain sensing and precise control of both legged-wheels. As a result, only rotating the active legged-wheel at a constant angular velocity allows the passive legged-wheel to automatically adapt to terrain, thus facilitating the DLW's movement in the circular-wheel form on flat terrain and enabling climbing of a high step with both legged-wheels fully overlapped in front of the step, even under varying load conditions. A robot equipped with additional rear standard active wheels successfully ascends and descends stairs, traverses uneven terrain, and climbs steep slopes. Moreover, our proposed elastic mechanism enables the DLWs to passively transform into the legged-wheel form only during necessary time in the fields, i.e., while climbing a high step and stairs.
弹性耦合双腿轮爬坡的自动适应
我们为商用车开发了一种移动平台设计,旨在通过相对较高的台阶铺设的道路运输各种重量。我们提出了一种称为双腿轮(DLW)系统的可变形车轮机构,每个车轮都有一个三腿结构,通过一个独特的弹性机构同轴连接,可以自动适应爬坡,从而消除了对地形感知和双腿轮精确控制的需要。因此,只有以恒定的角速度旋转主动腿轮,才能使被动腿轮自动适应地形,从而使DLW在平坦地形上以圆轮形式运动,即使在不同的负载条件下,也能在台阶前爬升两个腿轮完全重叠的高台阶。配备额外后标准主动车轮的机器人可以成功地上下楼梯,穿越不平坦的地形,爬上陡峭的斜坡。此外,我们提出的弹性机构使dlw只有在必要的时间内,即在爬高台阶和楼梯时,才能被动地转变为腿轮形式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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