Environmental Adaptation Enabled by an Amplitude-Tunable Traveling Wave Robot With a Soft Corkscrew (ATWBot)

IF 11.1 1区 计算机科学 Q1 ROBOTICS
IEEE Transactions on Robotics Pub Date : 2026-01-01 Epub Date: 2026-03-27 DOI:10.1109/TRO.2026.3697245
Qinjie Ji;Aiguo Song;Sareum Kim;Josie Hughes
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Abstract

Amplitude tuning is an important strategy in animals employing traveling wave patterns, enhancing their adaptability to unstructured environments. This article proposes, for the first time, an amplitude tuning method that leverages the compliance of a soft corkscrew by twisting its ends. An amplitude tunable traveling wave robot (ATWBot) is developed, consisting of a soft corkscrew housed in a high-degree-of-freedom cage and driven by only two servos. The soft corkscrew and cage are monolithically 3D-printed. The ATWBot achieves a wide range of active amplitude tuning with passive compliance adaptation and can extend its morphology to a coiled configuration, enabling clamping and rolling. A comprehensive model is built for the twisted soft corkscrew geometry, proving that the robot’s speed is decoupled from amplitude variations during twisting. A genetic algorithm is used to optimize the soft corkscrew for achieving the fastest speed while matching the cage geometry. Experiments demonstrate that the combination of active amplitude tuning and passive body compliance enables the robot to adapt to unstructured terrains including slits, steps, gaps, converging tunnels, slopes, and swimming.
带软开塞器的可调幅行波机器人(ATWBot)的环境适应性研究
振幅调谐是动物利用行波模式的重要策略,增强了它们对非结构化环境的适应性。本文首次提出了一种振幅调谐方法,该方法通过扭转软螺旋锥的末端来利用其顺应性。研制了一种可调幅行波机器人(ATWBot),该机器人由一个装在高自由度笼内的软螺旋锥组成,由两个伺服系统驱动。软开塞钻和笼子是整体3d打印的。ATWBot实现了大范围的主动振幅调节和被动顺应适应,并可以将其形态扩展到盘绕结构,从而实现夹紧和滚动。建立了扭曲软螺旋几何的综合模型,证明了机器人的速度与扭曲过程中振幅变化的解耦性。采用遗传算法对软螺旋钻进行优化,使其在匹配笼形结构的同时达到最快的速度。实验表明,主动振幅调节和被动身体顺应相结合,使机器人能够适应非结构化地形,包括狭缝、台阶、间隙、会聚隧道、斜坡和游泳。
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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