Bongsub Song

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Research Portfolio of Bongsub Song, Ph.D. Researcher at ETRI specializing in Robotics, Reinforcement Learning and Field Robotics.

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Shape-Adaptive Electro-Adhesive Gripper for Grasping Arbitrary Shaped Objects

Funded by: MOTIE
Period: 2018 – 2019
Keywords: Electro-adhesion, Variable friction, Adaptive grasping


Overview

This project developed a shape-adaptive gripper based on Electro-Adhesion (EA) capable of grasping objects of arbitrary shape. By applying voltage to the EA film, electrostatic attraction generates variable friction force — enabling stable grasping regardless of object surface geometry.


Key Contributions


Mechanism

Electro-Adhesion Principle

Gripper Structure


Experiments & Results

Grasping Force Measurement

Repeatability Evaluation



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Last updated: April 2026