多环境软模块机器人的设计与运动分析。

IF 6.4 2区 计算机科学 Q1 ROBOTICS
Yu Zhang,Yu Li,Dongbao Sui,Lingkai Luan,Tianjiao Zheng,Zongwei Zhang,Sikai Zhao,Fuyue Zhang,Dongjie Li,Yanhe Zhu
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引用次数: 0

摘要

本文介绍了一种能够执行多种运动模式的模块化软机器人的设计与开发。核心单元模块采用四腔软结构,由十字形薄板隔开。通过有选择地对不同腔室施加气动压力,改变连接器配置,机器人实现了多样化的模块化配置和运动方式,使其能够适应各种环境。为了解决材料的非线性特性及其无限自由度所带来的挑战,提出了一种三维空间数学建模方法。该方法以经典板理论和链式复合模型为基础,建立了软机器人等曲率空间弯曲运动的静态模型。此外,开发了基于中心模式生成器的单控制器框架,以方便生成多个运动步态。通过调整参数,如振荡器相位,频率,负载因子和幅度,控制器可以产生广泛的运动模式。为了验证提出的理论和实验模型,我们开发了一个气动控制平台,通过在不同复杂地形的系统测试来展示机器人的多模式运动能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Motion Analysis of a Soft Modular Robot for Diverse Environments.
This article introduces the design and development of a modular soft robot capable of performing multiple movement modes. The core unit module features a four-chamber soft structure, separated by a cross-shaped thin plate. By selectively applying pneumatic pressure to different chambers and changing connector configurations, the robot achieves diverse modular configurations and movement modes, enabling it to adapt to various environments. To address the challenges posed by the material's nonlinear behavior and its infinite degrees of freedom, a three-dimensional spatial mathematical modeling approach is proposed. This method, grounded in classical plate theory and the chained composite model, establishes a static model for the soft robot's spatial bending motion with constant curvature. In addition, a single-controller framework based on a central pattern generator is developed to facilitate the generation of multiple movement gaits. By tuning parameters such as oscillator phase, frequency, load factor, and amplitude, the controller can generate a wide range of movement patterns. To validate the proposed theoretical and experimental models, we developed a pneumatic control platform that demonstrated the robot's multimodal locomotion capabilities through systematic testing in terrains with varying complexity.
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来源期刊
Soft Robotics
Soft Robotics ROBOTICS-
CiteScore
15.50
自引率
5.10%
发文量
128
期刊介绍: Soft Robotics (SoRo) stands as a premier robotics journal, showcasing top-tier, peer-reviewed research on the forefront of soft and deformable robotics. Encompassing flexible electronics, materials science, computer science, and biomechanics, it pioneers breakthroughs in robotic technology capable of safe interaction with living systems and navigating complex environments, natural or human-made. With a multidisciplinary approach, SoRo integrates advancements in biomedical engineering, biomechanics, mathematical modeling, biopolymer chemistry, computer science, and tissue engineering, offering comprehensive insights into constructing adaptable devices that can undergo significant changes in shape and size. This transformative technology finds critical applications in surgery, assistive healthcare devices, emergency search and rescue, space instrument repair, mine detection, and beyond.
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