石墨烯在基礎研究和應用研究方面都引起了極大的關注。科學家們之所以對石墨烯感興趣，是因為其新穎獨特的特性。大規模生產石墨烯薄膜的主要方法是化學氣相沉積（CVD）。CVD石墨烯一般生長在金屬基底上，時常被當作基底於一般電子器件。傳統的轉移過程需要對研究人員進行大量的培訓才能進行，才不會出現撕裂或折疊，從而使石墨烯的性能惡化。在這裡，我們採用機械手臂來進行石墨烯的自動轉移。我們探討了使用市售機械臂協助這些任務的可行性，通過確定其能力和局限性。我們表明，在轉移過程中對石墨烯的損傷最小的可重複轉移是可能的開環運算，即沒有任何控制系統根據石墨烯的位置調整機械手臂的位置。我們只研究了10個石墨烯樣品並進行20次重複演算，因此需要進一步研究來證實石墨烯的質量以及優化機械手臂在轉移過程中的應用。

Graphene has attracted great attention in both fundamental and applied research. The reason why scientists are interested in graphene is due to its novel and unique properties. The main method to produce graphene thin films on a large scale is Chemical vapor deposition (CVD).
CVD graphene is generally grown on a metallic substrate and typically needed to be transferred to some other substrate to produce electronic devices. The conventional transfer process requires significant training of researchers to conduct without tearing or folding which deteriorates graphene’s properties.
Here we are employing a robotic arm to conduct automated graphene transfer. We explore the viability of using commercially available robotic arms to assist in these tasks by identifying its ability and limitations. We show that reproducible transfer with minimal damage to the graphene during transfer is possible in open loop, i.e. without any control system adjusting the position of the robotic arm based on the position of the graphene. We only examined 10 graphene samples and up to 20 repetitions so further studies are needed to characterize the graphene quality and optimize the use of the robotic arm in the transfer process.

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