4.4 Article

SEM image-guided manipulation with a feedback assistance system for automated nanohandling of a 4 DOF micromanipulator

期刊

出版社

IOP Publishing Ltd
DOI: 10.1088/1361-6439/ac2bab

关键词

nanomanipulation; nanorobotic; SEM; polystyrene; nanomaterials

资金

  1. MHRD, New Delhi
  2. MNRF Lab at Mechanical Engineering Department, Indian Institute of Technology, Kharagpur

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This paper presents an automatic handling procedure of a piezo-driven nanomanipulation system using the SEM vision system as a feedback device for position-based visual servoing closed-loop control. A web-based integrated control interface is designed to allow user command of the manipulator for positioning at any desired location within the working view field, aiding in quick automatic nanopositioning tasks and manipulation planning. Additionally, a 3D offline simulation visualization of the manipulation system in the SEM view is proposed to provide virtual configurational feedback of the manipulators and aid in manipulation task planning.
Nanohandling of a robotic system inside an scanning electron microscope (SEM) to manipulate and characterize nanomaterials is a complex task for any user with manual control strategies. Therefore, the need for automation of these robotic systems is increasing rapidly for various interdisciplinary applications in nanotechnology. Here an automatic handling procedure of a piezo-driven nanomanipulation system is described using the SEM vision system as a feedback device for position-based visual servoing closed-loop control. A web-based integrated control interface is designed for the manipulator's control, which allows a user to command the manipulator for positioning at any desired location within the working space's view field. It helps in the quick automatic nanopositioning task of the robot end-effector for any required application. The control technique is further applied to demonstrate a manipulation task with spherical shape polystyrene nanoparticles. Additionally, we propose a 3D offline simulation visualization of the manipulation system in the SEM view, which gives virtual configurational feedback of the manipulators and also helps in manipulation task planning.

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