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2021 | OriginalPaper | Chapter

Path Planning of AFM-Based Manipulation Using Virtual Nano-hand

Authors : Shuai Yuan, Tianshu Chu, Jing Hou

Published in: Advances in Simulation and Process Modelling

Publisher: Springer Singapore

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Abstract

During performing AFM-based nano-manipulations, traditional method is unstable, and the manipulation efficiency is low due to the uncertainty of the AFM tip position. As for these problems, this paper refers to the macro-robot caging strategy, proposes to plan the tip maneuvering trajectory using the “Z-shape” path to form a virtual nano-hand. Then, the model parameters are discussed and optimized through simulation. Meanwhile, the Monte Carlo method is used to illustrate the effectiveness of the optimization. The simulation result indicates that the optimized parameters can make the manipulation more stable and efficient. Finally, the AFM experiment with optimized parameters is carried out to verify the effectiveness and stability of the virtual nano-hand method.

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Metadata
Title
Path Planning of AFM-Based Manipulation Using Virtual Nano-hand
Authors
Shuai Yuan
Tianshu Chu
Jing Hou
Copyright Year
2021
Publisher
Springer Singapore
Book
Advances in Simulation and Process Modelling

Print ISBN: 978-981-334-574-4

Electronic ISBN: 978-981-334-575-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-33-4575-1_45

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