深度学习驱动的稳健触觉感知：桥接石墨烯电子皮肤和动态解码

IF 6.8 Q1 AUTOMATION & CONTROL SYSTEMS

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-06-17 DOI:10.1002/aisy.70004

Gyeonghwa Heo, Jusouk Yoon, Jeonghwa Jeong, Young Woo Kwon, Suck Won Hong

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引用次数: 0

摘要

在第2400909号文章中，吮吸Won Hong， Gyeonghwa Heo， Jusouk Yoon及其同事通过激光诱导的基于石墨烯的电子皮肤（e-skin）介绍了工程，人类触觉，深度学习和机器人技术的融合。当人的手指与电子皮肤界面接触时，机器人手将输入解读为触觉数据，从而改变人机交互，提高医疗设备操作等智能界面的精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Deep Learning–Powered Robust Tactile Perception: Bridging Graphene Electronic Skin and Dynamic Decoding

Deep Learning–Powered Robust Tactile Perception

In article number 2400909, Suck Won Hong, Gyeonghwa Heo, Jusouk Yoon, and co-workers introduce the convergence of engineering, human touch, deep learning, and robotics through laser-induced graphene-based electronic skin (e-skin). As a human finger engages with the e-skin interface, the robotic hand interprets the input as tactile data, transforming human-robot interaction and enhancing precision in intelligent interfaces for medical device operation and beyond.

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来源期刊

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)

CiteScore

1.30

自引率

0.00%

发文量

审稿时长

4 weeks