大型铁磁流体液滴机器人可编程控制电磁线圈阵列系统的研制

IF 10.5 1区 计算机科学 Q1 ROBOTICS
Guangming Cui;Haozhi Huang;Xianrui Zhang;Yueyue Liu;Qigao Fan;Yining Xu;Ang Liu;Baijin Mao;Tian Qiu;Juntian Qu
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引用次数: 0

摘要

基于流体的软体机器人的可编程操作最近引起了相当大的关注。实现大型铁磁流体液滴机器人(fdr)的并行控制仍然是目前尚未解决的主要挑战之一。在本文中,我们开发了一个分布式磁场控制平台,以生成一系列局部磁场,使许多fdr能够同时控制,允许fdr团队并行协作以执行多功能操作任务。在有限元数学模型的基础上,我们首先评估了局部磁场的分布特性以及单个电磁铁产生的梯度。同时,对FDR的运动和变形行为进行了表征,验证了所开发系统的驱动性能。随后,提出了一种基于视觉的闭环反馈控制策略,以实现多机器人编队的路径跟踪。热分析表明,该系统的低输出功率可以实现可靠和持续的长期运行。最后,用不同数量的fdr对所开发的系统进行了广泛的物理实验。结果表明,所设计的装置在操纵数十个fdr用于数字显示,信息编码和微流控物流方面具有潜力。据作者所知,这是第一次尝试允许独立控制这种规模的液滴机器人(最多72个)用于合作应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of an Electromagnetic Coil Array System for Large-Scale Ferrofluid Droplet Robots Programmable Control
Programmable manipulation of fluid-based soft robots has recently attracted considerable attention. Achieving parallel control of large-scale ferrofluid droplet robots (FDRs) is still one of the major challenges that remain unsolved. In this article, we develop a distributed magnetic field control platform to generate a series of localized magnetic fields that enable the simultaneous control of many FDRs, allowing teams of FDRs to collaborate in parallel for multifunctional manipulation tasks. Based on the mathematical model using the finite element method, we first evaluate the distribution properties of the local magnetic fields as well as the gradients generated by individual electromagnets. Meanwhile, the locomotion and deformation behavior of the FDR is also characterized to verify the actuation performance of the developed system. Subsequently, a vision-based closed-loop feedback control strategy is then presented, which aims to achieve path tracking of multiple robot formations. Thermal analysis shows that the system’s low output power enables reliable and sustained long-term operation. Finally, the developed system is tested through extensive physical experiments with different numbers of FDRs. The results demonstrate the potential of the designed setup in manipulating dozens of FDRs for digital display, message encoding, and microfluidic logistics. To the best of authors’ knowledge, this is the first attempt that allows independent control of such scale droplet robots (up to 72) for cooperative applications.
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来源期刊
IEEE Transactions on Robotics
IEEE Transactions on Robotics 工程技术-机器人学
CiteScore
14.90
自引率
5.10%
发文量
259
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Robotics (T-RO) is dedicated to publishing fundamental papers covering all facets of robotics, drawing on interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and beyond. From industrial applications to service and personal assistants, surgical operations to space, underwater, and remote exploration, robots and intelligent machines play pivotal roles across various domains, including entertainment, safety, search and rescue, military applications, agriculture, and intelligent vehicles. Special emphasis is placed on intelligent machines and systems designed for unstructured environments, where a significant portion of the environment remains unknown and beyond direct sensing or control.
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