Visual Servoing-Based Nanorobotic System for Automated Electrical Characterization of Nanotubes inside SEM.

ABSTRACT: The maneuvering and electrical characterization of nanotubes inside a scanning electron microscope (SEM) has historically been time-consuming and laborious for operators. Before the development of automated nanomanipulation-enabled techniques for the performance of pick-and-place and characterization of nanoobjects, these functions were still incomplete and largely operated manually. In this paper, a dual-probe nanomanipulation system vision-based feedback was demonstrated to automatically perform 3D nanomanipulation tasks, to investigate the electrical characterization of nanotubes. The XY-position of Atomic Force Microscope (AFM) cantilevers and individual carbon nanotubes (CNTs) were precisely recognized via a series of image processing operations. A coarse-to-fine positioning strategy

SUBMITTER: Ding H 

PROVIDER: S-EPMC5948737 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature