基于人工智能激发的直觉和触觉双模传感全织物生物电子皮肤用于智能物质感知
Hongsen Niu1,2, Hao Li1, Qichong Zhang3
1School of Microelectronics, Shandong University, Jinan, 250101, China.
Small (Weinheim an der Bergstrasse, Germany)
|November 27, 2023
概括
这项研究介绍了一种全织物生物电子皮肤 (e-skin),灵感来自人类皮肤和针叶树结构. 这种先进的电子皮肤实现了卓越的物质感知,通过人工智能集成超越了人类的能力.
科学领域:
- 材料科学 材料科学 材料科学
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
背景情况:
- 开发先进的电子皮肤 (e-skins) 对于提高机器人的感知和智力至关重要.
- 生物战略为创造具有人类感官能力的电子皮肤提供了有希望的途径.
- 现有的电子皮肤往往缺乏复杂应用所需的全面传感和材料识别能力.
研究的目的:
- 提出和开发一个以人工智能 (AI) 为动机的全织物生物体 (AFB) 电子皮肤.
- 模仿表皮-皮肤接口和针状树枝-针状结构,以增强传感.
- 创建一个超越人类感官局限性的智能物质感知系统.
主要方法:
- 设计了一种AFB电子皮肤,其结构灵感来自表皮-皮肤接口和针树针.
- 采用边缘和离子效应,分别用于近距离和压力传感.
- 使用COMSOL有限元分析模拟和验证电子皮肤的性能.
- 将AFB电子皮肤与人工智能算法和材料推断机制集成在一起,用于材料识别.
主要成果:
- 在压力模式下,AFB电子皮肤表现出高灵敏度 (15.06 kPa-1 <50 kPa) 和线性灵敏度 (6.06 kPa-1 50-200 kPa).
- 实现了5.6毫秒的快速响应和恢复时间,用于压力传感.
- 成功开发出一种智能系统,能够使用单个近距离压力循环识别9种不同的材料.
- 系统的物质感知能力被证明超过了人类的感知能力.
结论:
- 拟议的AFB电子皮肤为创建高度感知和智能机器人皮肤提供了一种新的方法.
- 生物设计,先进的传感机制和人工智能的集成使前所未有的材料识别能力成为可能.
- 这项技术在推进机器人,人机交互和感官替代方面具有重大潜力.
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