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Vision-based feedback strategy for controlled pushing of microparticles

机译:基于视觉的反馈策略可控制微粒的推进

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摘要

A strategy for controlled pushing is presented for microassembly of 4.5μm polystyrene particles on a flat glass substrate using an atomic force microscope probe tip. Real-time vision based feedback from a CCD camera mounted to a high resolution optical microscope is used to track particle positions relative to the tip and target position. Tip–particle system is modeled in 2D as a non-holonomic differential drive robot. Effectiveness of the controller is demonstrated through experiments performed using a single goal position as well as linking a series of target positions to form a single complex trajectory. Cell decomposition and wavefront expansion algorithms are implemented to autonomously locate a navigable path to a specified target position. Control strategy alleviates problem of slipping and spinning during pushing.
机译:提出了一种使用原子力显微镜探针在平板玻璃基板上微组装4.5μm聚苯乙烯颗粒的受控推动策略。来自安装在高分辨率光学显微镜上的CCD摄像机的基于实时视觉的反馈用于跟踪相对于尖端和目标位置的粒子位置。尖端粒子系统在2D模型中被建模为非完整的差动驱动机器人。通过使用单个目标位置以及将一系列目标位置链接以形成单个复杂轨迹的实验,可以证明控制器的有效性。实现了单元分解和波前扩展算法,以自动将导航路径定位到指定的目标位置。控制策略减轻了推压时打滑和打滑的问题。

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