Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our site without changing the browser settings you grant us permission to store that information on your device.
The goal of this work is to develop an accompanying software solution based on image processing techniques to characterize the microgripper’s behavior as a function of voltage. To achieve this kind of work, a series of micro-tweezers with electro-thermal actuation are developed, which fulfill different functions: positioning, push-pull, gripping, able to be integrated in the robotic micromanipulation system. The actual micro-gripper is simulated as a MEMS micro-tweezers, considering also the manufacturing technology and the component materials. A specific contribution is to demonstrate the feasibility of applying image processing techniques to obtain accurate measurements of the aperture, starting from images with the gripper arms as regions of interest. In this way, the demonstrator can be used in medical applications, where cell manipulation needs enhanced precision.
MEMS applications, Gripper arms, Filtering, SNR, Tracking.
TOPOR ALEXANDRU, VOICU RODICA CRISTINA, ULIERU DUMITRU, RAVARIU CRISTIAN, BABARADA FLORIN, Image processing algorithms for characterization of MEMS type micro-tweezers aperture, Optoelectronics and Advanced Materials - Rapid Communications, 16, 11-12, November-December 2022, pp.505-508 (2022).
Submitted at: Oct. 4, 2022
Accepted at: Dec. 5, 2022