遥操作
抓住
计算机科学
执行机构
人工智能
机器人学
软机器人
夹持器
微尺度化学
灵活性(工程)
一致性(知识库)
弯曲
机器人
计算机视觉
触觉技术
控制工程
工作区
理论(学习稳定性)
机电一体化
工作(物理)
机械臂
试验台
光烧蚀
方向(向量空间)
工程类
模拟
成交(房地产)
同步(交流)
机器视觉
分割
控制系统
视觉伺服
接触力
操作员(生物学)
机械工程
作者
Wonjin Kim,Soohyun Lim,Sangryul Kim,Jonghyeok Lee,Sung‐Hoon Ahn
出处
期刊:Soft robotics
[Mary Ann Liebert, Inc.]
日期:2026-05-07
卷期号:13 (5): 840-849
被引量:1
标识
DOI:10.1177/21695172261441906
摘要
Ionic polymer-metal composites (IPMCs) are prominent soft actuators for millimeter-scale robotics due to their large bending deformation and high force-to-weight ratio. This work introduces an integrated soft robotic system featuring a three-channel IPMC gripper attached to a borescope for micromanipulation. A laser ablation technique partitions a single IPMC into three independently actuated channels, simplifying wiring complexity and enabling stable grasping of objects with complex geometries. While the hardware provides effective manipulation, teleoperation in microscale environments presents a significant challenge, as operators struggle to reliably determine contact and grasp stability from 2D visual feedback alone. To address this, we introduce a vision-based operator assistance system. Using a YOLOv8 segmentation model, our system processes the borescope's video feed in real-time to identify the gripper fingers and target objects, providing clear visual cues for "touched" and "grabbed" states. This human-in-the-loop feedback enhances operator precision and consistency and, for the first time, enables a quantitative evaluation of the gripper's performance. Experimental results demonstrate reliable grasping of diverse objects (0.3-6 mm) and validate the system's ability to provide objective success metrics. This work contributes an integrated and intelligent micromanipulation system that augments human capabilities and establishes a framework for future autonomous control.
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