JOURNAL ARTICLE

Machine Vision Force Feedback for Electrostatic Microgrippers

Abstract

In this paper we present design considerations and a prototype of a machine vision implemented force feedback system for silicon electrostatic microgrippers. A model of the gripper system is presented and experimentally identified. A tuned PID control system for the gripper's tips opening and gripping force level is presented. The accuracy and the resolution of the system are estimated at levels of 0.250 μΝ and 0.075 μΝ, respectively. Finally, Results of gripping experiments are presented.

Keywords:
Grippers Machine vision Computer science PID controller Control engineering Silicon Mechanical engineering Simulation Engineering Control theory (sociology) Control (management) Artificial intelligence Materials science Temperature control

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Topics

Advanced MEMS and NEMS Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Force Microscopy Techniques and Applications
Physical Sciences →  Physics and Astronomy →  Atomic and Molecular Physics, and Optics
Advanced Measurement and Metrology Techniques
Physical Sciences →  Engineering →  Mechanical Engineering
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