Terradynamics of Monolithic Soft Robot Driven by Vibration Mechanism

IF 10.5 1区 计算机科学 Q1 ROBOTICS
Linh Viet Nguyen;Khoi Thanh Nguyen;Van Anh Ho
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Abstract

In this article, we present a design concept, in which a monolithic soft body is incorporated with a vibration-driven mechanism, called Leafbot. We first report a morphological design of the robot's limbs that facilitates the forward locomotion of our vibration-driven model and enhances the capability of coping with sloped obstacles and irregular terrains. Second, the fabrication technique to achieve such a soft monolithic structure and limb morphology is fully addressed. Third, we clarify the locomotion of the Leafbot under high-frequency excitation via analytical and empirical methods in flat and even surface conditions. The maximum attained velocity in such a condition is 5 body length/ second. Finally, three model designs are constructed, each featuring a different limb pattern. We examine the terradynamics characteristics of three patterns in three pre-defined conditions, i.e., the success rate of overcoming the slope, semi-circular obstacles, and step-field terrains specialized by the rugosity factor. This proposed investigation aims to build a foundation for further terradynamics study of vibration-driven soft robots in a more complicated and confined environment, with potential applications in inspection tasks.
基于振动机构驱动的整体式软机器人地面动力学研究
在这篇文章中,我们提出了一个设计概念,其中一个单片软体与一个振动驱动机构,称为Leafbot。我们首先报道了机器人肢体的形态设计,这有利于我们的振动驱动模型的向前运动,并增强了应对倾斜障碍物和不规则地形的能力。其次,研究了实现这种软单片结构的制造技术和肢体形态。第三,我们通过分析和经验方法阐明了在平坦和均匀表面条件下Leafbot在高频激励下的运动。在这种情况下达到的最大速度是5个身长/秒。最后,构建了三个模型设计,每个模型都具有不同的肢体模式。我们研究了三种模式在三种预设条件下的地形动力学特征,即克服斜坡的成功率、半圆形障碍物和由崎岖因素专门化的台阶地形。本研究旨在为振动驱动软机器人在更复杂和受限环境下的进一步大地动力学研究奠定基础,并在检测任务中具有潜在的应用前景。
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 Transactions on Robotics
IEEE Transactions on Robotics 工程技术-机器人学
CiteScore
14.90
自引率
5.10%
发文量
259
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Robotics (T-RO) is dedicated to publishing fundamental papers covering all facets of robotics, drawing on interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and beyond. From industrial applications to service and personal assistants, surgical operations to space, underwater, and remote exploration, robots and intelligent machines play pivotal roles across various domains, including entertainment, safety, search and rescue, military applications, agriculture, and intelligent vehicles. Special emphasis is placed on intelligent machines and systems designed for unstructured environments, where a significant portion of the environment remains unknown and beyond direct sensing or control.
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