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