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工程技术中生物策略的逆向应用:以水下软体机器人为例

Inversion of Biological Strategies in Engineering Technology: A Case Study of the Underwater Soft Robot.

作者信息

Chen Siqing, Xu He, Zhang Xueyu, Jiang Tian, Ma Zhen

机构信息

College of Electromechanical Engineering, Harbin Engineering University, Harbin 150001, China.

出版信息

Biomimetics (Basel). 2025 Jun 3;10(6):362. doi: 10.3390/biomimetics10060362.

DOI:10.3390/biomimetics10060362
PMID:40558331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12191258/
Abstract

Bio-inspired design, a paradigm-shifting methodology that translates evolutionary mechanisms into engineering solutions, has established itself as a cornerstone for pioneering innovation in multifaceted technological systems. Despite its promise, the inherent complexity of biological systems and interdisciplinary knowledge gaps hinder the effective translation of biological principles into practical engineering solutions. This study introduces a structured framework integrating large language models (LLMs) with a function-behavior-characteristic-environment (F-B-C-E) paradigm to systematize biomimetic design processes. We propose a standardized F-B-C-E knowledge model to formalize biological strategy representations, coupled with a BERT-based pipeline for automated inversion of biological strategies into engineering applications. To optimize strategy selection, a hybrid decision-making methodology combining VIKOR multi-criteria analysis and rank correlation is developed. The framework's functional robustness is validated via aquatic robotic system implementations, wherein three biomimetic propulsion modalities-oscillatory caudal propulsion, pulsed hydrodynamic thrust generation, and autonomous peristaltic locomotion-demonstrate quantifiable enhancements in locomotion efficiency and environmental adaptability metrics. These results underscore the robustness of the proposed inversion methodology in resolving intricate engineering problems through systematic biomimetic translation.

摘要

受生物启发的设计是一种将进化机制转化为工程解决方案的范式转变方法,已成为多方面技术系统开创性创新的基石。尽管它前景广阔,但生物系统固有的复杂性和跨学科知识差距阻碍了将生物学原理有效转化为实际工程解决方案。本研究引入了一个将大语言模型(LLMs)与功能 - 行为 - 特征 - 环境(F - B - C - E)范式相结合的结构化框架,以系统化仿生设计过程。我们提出了一个标准化的F - B - C - E知识模型来形式化生物策略表示,并结合一个基于BERT的管道,用于将生物策略自动转化为工程应用。为了优化策略选择,开发了一种结合VIKOR多准则分析和秩相关的混合决策方法。该框架的功能稳健性通过水生机器人系统实现得到验证,其中三种仿生推进方式——摆动尾鳍推进、脉冲式水动力推力产生和自主蠕动运动——在运动效率和环境适应性指标方面展现出可量化的提升。这些结果强调了所提出的转化方法在通过系统的仿生转化解决复杂工程问题方面的稳健性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f38e/12191258/be5837afa2fc/biomimetics-10-00362-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f38e/12191258/9d08b1e190c4/biomimetics-10-00362-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f38e/12191258/29b2b5239e20/biomimetics-10-00362-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f38e/12191258/ced10c44f210/biomimetics-10-00362-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f38e/12191258/be5837afa2fc/biomimetics-10-00362-g011.jpg

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Understanding the Use of Bio-Inspired Design Tools by Industry Professionals.了解行业专业人士对生物启发式设计工具的使用情况。
Biomimetics (Basel). 2022 May 18;7(2):63. doi: 10.3390/biomimetics7020063.
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Optimal design of aeroacoustic airfoils with owl-inspired trailing-edge serrations.基于猫头鹰翼梢锯齿的翼型声学风洞优化设计
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