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连续体机器人和磁性软机器人:从模型到医学应用的跨学科挑战

Continuum Robots and Magnetic Soft Robots: From Models to Interdisciplinary Challenges for Medical Applications.

作者信息

Wang Honghong, Mao Yi, Du Jingli

机构信息

School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China.

School of Chemical and Material Engineering, Jiangnan University, Wuxi 214122, China.

出版信息

Micromachines (Basel). 2024 Feb 24;15(3):313. doi: 10.3390/mi15030313.

Abstract

This article explores the challenges of continuum and magnetic soft robotics for medical applications, extending from model development to an interdisciplinary perspective. First, we established a unified model framework based on algebra and geometry. The research progress and challenges in principle models, data-driven, and hybrid modeling were then analyzed in depth. Simultaneously, a numerical analysis framework for the principle model was constructed. Furthermore, we expanded the model framework to encompass interdisciplinary research and conducted a comprehensive analysis, including an in-depth case study. Current challenges and the need to address meta-problems were identified through discussion. Overall, this review provides a novel perspective on understanding the challenges and complexities of continuum and magnetic soft robotics in medical applications, paving the way for interdisciplinary researchers to assimilate knowledge in this domain rapidly.

摘要

本文从跨学科角度探讨了连续体和磁性软机器人在医学应用中的挑战,内容涵盖从模型开发到实际应用的整个过程。首先,我们基于代数和几何建立了一个统一的模型框架。随后深入分析了原理模型、数据驱动模型和混合模型的研究进展与挑战。同时,构建了原理模型的数值分析框架。此外,我们将模型框架扩展到跨学科研究领域,并进行了全面分析,包括深入的案例研究。通过讨论,明确了当前面临的挑战以及解决元问题的必要性。总体而言,本综述为理解连续体和磁性软机器人在医学应用中的挑战与复杂性提供了全新视角,为跨学科研究人员快速吸收该领域知识铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24bf/10972085/78b5ed47da92/micromachines-15-00313-g001.jpg

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