等离子体传感器用塑料光纤的安全机器人抛光

F. Arcadio, M. Costanzo, Giulio Luongo, L. Pellegrino, N. Cennamo, C. Natale
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引用次数: 1

摘要

塑料光纤(POFs)生物传感器由于其低成本、高性能以及在检测不同基质中大量特定物质方面的极大灵活性,在许多应用领域得到了广泛的应用。这类传感器的一个特定类别是基于表面等离子体共振(SPR)现象的传感器,它可以通过与生物或化学分子识别元件(MRE)的适当集成而非常具体,该元件专门设计用于与所需物质(分析物)结合。尽管SPR-POF传感器具有灵活性,但由于塑料光纤的特殊抛光工艺,其生产仍难以实现大规模自动化。这样的过程目前是由受过训练的人类操作员执行的,他通过沿着8形路径将短纤维段的表面摩擦在砂纸上,同时在与接触面垂直的方向施加特定的力。本文提出采用一种协作机器人程序来执行基于从人类操作员获得的数据的相同任务。为了保证共享同一工作空间的操作人员对机器人单元的安全使用,该系统配备了工作空间监控系统,通过适当利用机器人的运动冗余,保证抛光任务的执行,同时最大限度地减少与人类操作人员发生碰撞的可能性。
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Safe Robotized Polishing of Plastic Optical Fibers for Plasmonic Sensors
: Plastic optical fibers (POFs) biosensors are getting widespread in a number of application fields owing to their low cost, high performance, and for their extreme flexibility in terms of detection ability of a large number of specific substances in different matrices. A specific category of such sensors are those based on the surface plasmon resonance (SPR) phenomenon, which can be made very specific by suitable integration with a biological or chemical molecular recognition element (MRE), specifically designed for binding with the desired substance (the analyte). Despite the flexibility of the SPR-POF sensors, their production is still difficult to automate on a large scale because of the special polishing process of the plastic optical fiber. Such a process is currently performed by a human trained operator who rubs the surface of a short fiber segment against a sandpaper sheet by following an 8-shaped path while exerting a specific force in the direction normal to the contact surface. The present paper proposes the adoption of a collaborative robot programmed to perform the same task based on the data acquired from the human operator. To ensure the safe use of the robotic cell by operators who share the same workspace of the robot, the system is endowed with a workspace monitoring system that ensures the polishing task execution while minimizing the possible occurrence of collisions with human operators by suitable exploiting the kinematic redundancy of the robot.
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