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受生物启发的软机器:将自然的优雅融入未来创新之中。

Bioinspired Soft Machines: Engineering Nature's Grace into Future Innovations.

作者信息

Singh Ajay Vikram, Ansari Mohammad Hasan Dad, Dey Arindam K, Laux Peter, Samal Shailesh Kumar, Malgaretti Paolo, Mohapatra Soumya Ranjan, Busse Madleen, Suar Mrutyunjay, Tisato Veronica, Gemmati Donato

机构信息

Department of Chemical and Product Safety, German Federal Institute for Risk Assessment (BfR), Max-Dohrn-Straße 8-10, 10589 Berlin, Germany.

The BioRobotics Institute, Scuola Superiore Sant'Anna, 56025 Pontedera, Italy.

出版信息

J Funct Biomater. 2025 Apr 28;16(5):158. doi: 10.3390/jfb16050158.

DOI:10.3390/jfb16050158
PMID:40422823
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12112459/
Abstract

This article explores the transformative advances in soft machines, where biology, materials science, and engineering have converged. We discuss the remarkable adaptability and versatility of soft machines, whose designs draw inspiration from nature's elegant solutions. From the intricate movements of octopus tentacles to the resilience of an elephant's trunk, nature provides a wealth of inspiration for designing robots capable of navigating complex environments with grace and efficiency. Central to this advancement is the ongoing research into bioinspired materials, which serve as the building blocks for creating soft machines with lifelike behaviors and adaptive capabilities. By fostering collaboration and innovation, we can unlock new possibilities in soft machines, shaping a future where robots seamlessly integrate into and interact with the natural world, offering solutions to humanity's most pressing challenges.

摘要

本文探讨了软机器领域的变革性进展,生物学、材料科学和工程学在此实现了融合。我们讨论了软机器卓越的适应性和多功能性,其设计灵感源自大自然精妙的解决方案。从章鱼触手的复杂运动到象鼻的柔韧性,大自然为设计能够优雅且高效地在复杂环境中导航的机器人提供了丰富的灵感。这一进展的核心是对仿生材料的持续研究,这些材料是制造具有逼真行为和自适应能力的软机器的基石。通过促进合作与创新,我们能够解锁软机器领域的新可能性,塑造一个机器人能无缝融入自然世界并与之互动的未来,为人类最紧迫的挑战提供解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/912fc824dd43/jfb-16-00158-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/d6420d91abde/jfb-16-00158-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/915a0300d512/jfb-16-00158-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/ff68358eeac6/jfb-16-00158-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/54cba7fd9d79/jfb-16-00158-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/2414f19393e9/jfb-16-00158-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/da47d3c87202/jfb-16-00158-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/1aff1f0a01c0/jfb-16-00158-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/217b07ac31aa/jfb-16-00158-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/912fc824dd43/jfb-16-00158-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/d6420d91abde/jfb-16-00158-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/915a0300d512/jfb-16-00158-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/ff68358eeac6/jfb-16-00158-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/54cba7fd9d79/jfb-16-00158-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/2414f19393e9/jfb-16-00158-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/da47d3c87202/jfb-16-00158-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/1aff1f0a01c0/jfb-16-00158-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/217b07ac31aa/jfb-16-00158-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b4/12112459/912fc824dd43/jfb-16-00158-g009.jpg

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