Titlebook: AFM-Based Observation and Robotic Nano-manipulation; Shuai Yuan,Lianqing Liu,Ning Xi Book 2020 Science Press and Springer Nature Singapore

新娘

José António Covas,António Gaspar-Cunhaf working environment, which also bring the uncertainty into tip localization. Similar to mobile localization in macro robots, the uncertainty of tip position increases with time and tip motion. In this chapter, aiming at the abovementioned problems, a tip localization and path planning method based

名字的誤用

Tamas Kenesei,Balazs Feil,Janos Abonyidistance of tip motion and achieve effective AFM nano-manipulation, it is necessary to carry out path planning. As for the abovementioned problems, this book refers to the strategy of macro-robot using landmark localization. Firstly, a tip localization model using landmark observation is established

領(lǐng)先

amphibian

https://doi.org/10.1007/978-3-540-89619-7ip blind modeling theory, and studies the efficient tip estimation method. Based on the accurate reconstruction of environment map using the tip topography, the manipulation environment map is established closer to the real scene. Finally, the effectiveness of the model is illustrated by using image reconstruction experiments.

Humble

Shuai Yuan,Lianqing Liu,Ning XiProposes the thermal-drift compensation method to reduce the distortion of scanning images.Establishes the blind tip modeling algorithm to estimate the tip morphology and eliminate hindering in AFM na

跟隨

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挑剔小責(zé)

Cumbersome

J?rn Mehnen,Mario K?ppen,Ashutosh Tiwarihis chapter introduces the basic structure, imaging principle and working mode of AFM. It also introduces several kinds of AFM robotic based nano-manipulation, and represents stochastic approach based nano-manipulation method.

音樂學(xué)者

Book 2020p path planning method in a complex environment. Lastly, it presents an AFM-based nano-manipulation platform to illustrate the effectiveness of the proposed method using theoretical research, such as tip positioning and virtual nano-hand..