Kangaroo Tail-Inspired Variable Stiffness Executive Mechanism for Rescue Robots

IF 4.6 2区 计算机科学 Q2 ROBOTICS
Maoshi Lu;Yanzhi Zhao;Feixiang Ma;Yu Shan;Bowen Zhang
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引用次数: 0

Abstract

In the field of casualty extraction and rescue, a key challenge is avoiding secondary injuries to the human body during rescue operations. Currently, most rescue robot executive mechanisms are rigid, which increases the risk of contact-related injuries. To address this issue, a rescue executive mechanism with variable stiffness, inspired by the kangaroo tail, is proposed. This mechanism can adapt to the human body's contours with flexible contact while providing sufficient rigidity and load-bearing capacity. By applying the layer jamming principle, the mechanism achieves variable stiffness, enabling it to self-adapt to the human body profile and support large loads. Drawing inspiration from the rigid support and shape adaptability of the kangaroo tail, a 3D model and a prototype of the executive mechanism were developed using bionic principles. The mechanism's performance was validated through variable stiffness tests, contour adaptation tests, and human model holding and loading experiments. The results demonstrate that the rescue robot executive mechanism exhibits high load-bearing capacity (load 32.17 kg), strong adaptability, and enhanced safety, effectively addressing the limitations of rigid mechanisms that may harm the human body.
袋鼠尾启发的救援机器人变刚度执行机构
在伤亡撤离和救援领域,一个关键的挑战是在救援行动中避免对人体的二次伤害。目前,大多数救援机器人的执行机制是刚性的,这增加了接触性伤害的风险。为了解决这一问题,提出了一种受袋鼠尾巴启发的变刚度救援执行机制。该机构在提供足够的刚度和承载能力的同时,能够灵活地适应人体的接触轮廓。该机构采用分层干扰原理,实现变刚度,使其能够自适应人体轮廓,承受大载荷。从袋鼠尾巴的刚性支撑和形状适应性中获得灵感,利用仿生学原理开发了执行机构的3D模型和原型。通过变刚度试验、轮廓自适应试验、人体模型握住和加载试验验证了该机构的性能。结果表明,该救援机器人执行机构具有较高的承载能力(载荷32.17 kg)、较强的适应性和增强的安全性,有效解决了刚性机构可能对人体造成伤害的局限性。
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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