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Three-Finger Borescope-Mounted IPMC Gripper
Wonjin Kim1, Soohyun Lim1, Sangryul Kim1
1Department of Mechanical Engineering, Seoul National University, Seoul, South Korea.
Soft Robotics
|May 7, 2026
Summary
This study presents an integrated soft robotic gripper using ionic polymer-metal composites (IPMCs) for micromanipulation. A vision-based system enhances teleoperation by providing real-time feedback on grasp stability, improving precision.
Area of Science:
- Soft robotics
- Micro-manipulation
- Biomimetic actuators
Background:
- Ionic polymer-metal composites (IPMCs) offer large bending deformation and high force-to-weight ratios, making them suitable for soft actuators in millimeter-scale robotics.
- Teleoperation in microscale environments is challenging due to limited sensory feedback, hindering precise control and grasp stability assessment.
Purpose of the Study:
- To develop an integrated soft robotic system for micromanipulation using a novel three-channel IPMC gripper.
- To introduce a vision-based operator assistance system to overcome the limitations of 2D visual feedback in teleoperation.
- To enable quantitative evaluation of gripper performance and enhance operator precision.
Main Methods:
- A three-channel IPMC gripper was fabricated using laser ablation for independent actuation.
- A vision-based system employing YOLOv8 segmentation processed real-time video feeds from a borescope.
- The system provided visual cues for contact and grasp states during teleoperation.
Main Results:
- The IPMC gripper demonstrated reliable grasping of diverse objects ranging from 0.3-6 mm.
- The vision-based assistance system significantly improved operator precision and consistency.
- Objective success metrics for gripper performance were established for the first time.
Conclusions:
- The integrated soft robotic system enhances human capabilities in micromanipulation tasks.
- The vision-based feedback system provides a robust solution for teleoperation challenges in microscale environments.
- This work lays the foundation for future advancements in autonomous micro-robotic control.

