穴居软机器人面临的巨大挑战。

IF 2.9 Q2 ROBOTICS
Frontiers in Robotics and AI Pub Date : 2025-02-13 eCollection Date: 2025-01-01 DOI:10.3389/frobt.2025.1525186
Caitlin L Le, Osman Dogan Yirmibesoglu, Sean Even, Trevor Buckner, Yasemin Ozkan-Aydin, Rebecca Kramer-Bottiglio
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引用次数: 0

摘要

机器人挖洞有望应用于农业、资源开采和基础设施开发,但目前的方法效率低下,效率低下,或造成严重的环境破坏。相比之下,天然穴居者以最小的干扰穿透基质,提供了可以激发更有效和可持续机制的生物力学原理。许多天然穴居动物的一个显著特征是它们依赖柔软的身体成分,这就提出了柔软是否有助于它们挖洞成功的问题。本文综述了软质材料在生物挖洞中的作用及其对机器人设计的启示。我们研究了软体生物和软体机器人用于水下和地下运动的机制,重点研究了柔软性如何提高颗粒介质中的效率和适应性。我们分析了自然挖洞者和软机器人挖洞者之间的能力差距,确定了重大挑战,并提出了提高机器人挖洞性能的机会。通过将生物学原理与工程创新相结合,本综述旨在为下一代挖掘机器人的开发提供信息,这些机器人能够以自然界中看到的效率和功效进行操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grand challenges for burrowing soft robots.

Robotic burrowing holds promise for applications in agriculture, resource extraction, and infrastructure development, but current approaches are ineffective, inefficient, or cause significant environmental disruption. In contrast, natural burrowers penetrate substrates with minimal disturbance, providing biomechanical principles that could inspire more efficient and sustainable mechanisms. A notable feature of many natural burrowers is their reliance on soft body compositions, raising the question of whether softness contributes to their burrowing success. This review explores the role of soft materials in biological burrowing and their implications for robotic design. We examine the mechanisms that soft-bodied organisms and soft robots employ for submerging and subterranean locomotion, focusing on how softness enhances efficiency and adaptability in granular media. We analyze the gaps between the capabilities of natural burrowers and soft robotic burrowers, identify grand challenges, and propose opportunities to enhance robotic burrowing performance. By bridging biological principles with engineering innovation, this review aims to inform the development of next-generation burrowing robots capable of operating with the efficiency and efficacy seen in nature.

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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
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