电粘合垫设计可增强爬行微型机器人在不同地形上的附着力

IF 4.6 2区 计算机科学 Q2 ROBOTICS
Jennifer A. Shum;Perrin E. Schiebel;Alyssa M. Hernandez;Robert J. Wood
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引用次数: 0

摘要

虽然之前的研究已经利用昆虫级哈佛移动微型机器人平台探索了电粘性攀爬,但该机器人在不规则地形上可靠攀爬的能力仍然有限。为了评估潜在的解决方案,我们对电粘性垫的设计空间进行了调查,并对机器人在不同垫设计下的剪切力攀爬能力进行了鉴定。我们发现,在光滑平坦的地形上,大型简单圆形脚垫结构表现出最大的剪切力。然而,在较粗糙的倾斜表面上,调整宽度、长度和辐条状特征数量的脚垫具有更大的顺应性,并能获得更稳定的剪切附着力。在粗糙表面上,这种顺应性辐条衬垫设计的粘附可靠性为 84%,平均粘附力为 1.02 kPa,而同类圆形衬垫的粘附可靠性为 45%,平均粘附力为 0.81 kPa。我们展示了 4.5 厘米机器人在粗糙度为 75 $\mu$m 的地形上提高的攀爬能力,并观察到在 0-45 度的角度范围内,攀爬速度平均提高了 48%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electroadhesive Pad Design for Increased Adhesion of Climbing Microrobots on Diverse Terrains
While previous studies have explored electroadhesive climbing using the insect-scale Harvard Ambulatory Microrobot platform, the robot's ability to climb reliably over irregular terrain has remained limited. To evaluate potential solutions, we conducted an investigation of the electroadhesive pad design space and characterized the shear force climbing capabilities of the robot with different pad designs. We find that on smooth, flat terrains, a large simple circular footpad structure exhibited the greatest shear forces. However, on rougher inclined surfaces, pads which adjusted the width, length, and number of spoke-like features provide greater compliance and achieve more consistent shear adhesion forces. Such compliant spoke pad designs on rough surfaces performed with 84 % stick reliability and 1.02 kPa average adhesion forces compared to 45 % stick reliability and 0.81 kPa average adhesion forces for a comparable circular pad. We demonstrate the improved climbing capability of the 4.5 cm robot on terrain with 75 $\mu$ m roughness and observe an average increase in climbing speed of 48 % over a range of angles from 0–45 degrees.
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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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