Miniaturized soft growing robots for minimally invasive surgeries: challenges and opportunities.

IF 5 Q1 ENGINEERING, BIOMEDICAL
Ayodele James Oyejide, Fabio Stroppa, Mine Saraç
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引用次数: 0

Abstract

Advancements in assistive robots have significantly transformed healthcare procedures in recent years. Clinical continuum robots have enhanced minimally invasive surgeries, offering benefits to patients such as reduced blood loss and a short recovery time. However, controlling these devices is difficult due to their limited accuracy in three-dimensional deflections and challenging localization, particularly in confined spaces like human internal organs. Consequently, there has been growing research interest in employing miniaturized soft growing robots, a promising alternative that provides enhanced flexibility and maneuverability. In this work, we extensively investigated issues concerning their designs and interactions with humans in clinical contexts. We took insights from the open challenges of the generic soft growing robots to examine implications for miniaturization, actuation, and biocompatibility. We proposed technological concepts and provided detailed discussions on leveraging existing technologies, such as smart sensors, haptic feedback, and artificial intelligence, to ensure the safe and efficient deployment of the robots. Finally, we offer an array of opinions from a biomedical engineering perspective that contributes to advancing research in this domain for future research to transition from conceptualization to practical clinical application of miniature soft growing robots.

用于微创手术的微型软性生长机器人:挑战与机遇。
近年来,辅助机器人的进步极大地改变了医疗保健程序。临床连续机器人增强了微创手术,为患者提供了减少失血和缩短恢复时间等好处。然而,控制这些设备是困难的,因为它们在三维偏转中的精度有限,并且具有挑战性的定位,特别是在像人体内部器官这样的密闭空间中。因此,有越来越多的研究兴趣采用微型软生长机器人,一个有前途的替代方案,提供增强的灵活性和可操作性。在这项工作中,我们广泛研究了有关它们的设计和在临床环境中与人类相互作用的问题。我们从通用软生长机器人的公开挑战中获得见解,以检查小型化,驱动和生物相容性的影响。我们提出了技术概念,并详细讨论了如何利用现有技术,如智能传感器、触觉反馈和人工智能,以确保机器人的安全高效部署。最后,我们从生物医学工程的角度提出了一系列观点,有助于推进该领域的研究,使未来的微型软生长机器人的研究从概念化过渡到实际临床应用。
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
CiteScore
9.40
自引率
0.00%
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