论文标题

具有超声阶段阵列系统和微观视觉的移动微颗粒的自动非接触捕获

Automated Noncontact Trapping of Moving Micro-particle with Ultrasonic Phased Array System and Microscopic Vision

论文作者

Wang, Mingyue, Li, Jiaqi, Jia, Yuyu, Sun, Zhenhuan, Liu, Yuhang, Li, Teng, Liu, Song

论文摘要

非接触式粒子操纵(NPM)技术将人类的分析能力大大扩展到了微观和纳米量表,这反过来又大大促进了材料科学和生命科学的发展。尽管从机器人的角度来看,通过电力,磁性和光场通过电力,磁性和光场取得了巨大成功,但它仍然是劳动密集型操作,因为在早期准备阶段,专业人力援助是必须的。因此,出现运动颗粒的自动非接触夹捕获是值得的,特别是对于粒子样品罕见,脆弱或接触敏感的应用。利用最新的动态声场调节技术,尤其是通过从微尺度到次级尺度的声学操作的巨大可扩展性,我们提出了具有超声梯级阵列系统的自动非接触微接触捕获,本文中有超声波化阵列和微观的视觉。据我们所知,这项工作的主要贡献是我们首次通过诉诸机器人方法来实现了在声学NPM场中完全自动化的移动微颗粒捕获。简而言之,通过参考声音诱捕区计算并生成以捕获并稳定地固定粒子,可以通过双眼微观视觉系统观察并预测粒子移动状态。这项工作也解决了非接触机器人最终效应器的手眼关系问题。实验证明了这项工作的有效性。

Noncontact particle manipulation (NPM) technology has significantly extended mankind's analysis capability into micro and nano scale, which in turn greatly promoted the development of material science and life science. Though NPM by means of electric, magnetic, and optical field has achieved great success, from the robotic perspective, it is still labor-intensive manipulation since professional human assistance is somehow mandatory in early preparation stage. Therefore, developing automated noncontact trapping of moving particles is worthwhile, particularly for applications where particle samples are rare, fragile or contact sensitive. Taking advantage of latest dynamic acoustic field modulating technology, and particularly by virtue of the great scalability of acoustic manipulation from micro-scale to sub-centimeter-scale, we propose an automated noncontact trapping of moving micro-particles with ultrasonic phased array system and microscopic vision in this paper. The main contribution of this work is for the first time, as far as we know, we achieved fully automated moving micro-particle trapping in acoustic NPM field by resorting to robotic approach. In short, the particle moving status is observed and predicted by binocular microscopic vision system, by referring to which the acoustic trapping zone is calculated and generated to capture and stably hold the particle. The problem of hand-eye relationship of noncontact robotic end-effector is also solved in this work. Experiments demonstrated the effectiveness of this work.

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