智能软机器人手指具有多模式感知能力
Tongjing Wu1,2, Haitao Deng1, Zhongda Sun2
1School of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
iScience
|July 28, 2023
概括
本研究介绍了一种使用 triboelectric纳米发电机 (TENGs) 进行实时物体识别的生物传感系统,用于工业4.0. 该系统使智能机器人操纵器能够用于诸如自动组件分类等应用.
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:
- 工业4.0推动了对生产线先进自动化的需求.
- 实时对象识别对于高效的工业流程至关重要.
- 开发复杂的传感系统是提高机器人能力的关键.
研究的目的:
- 开发一种用于实时物体识别的生物传感系统.
- 将自动供电的 triboelectric 纳米发电机 (TENG) 与软机器人执行器集成在一起.
- 为了使工业应用中的机器人操纵器能够进行智能感知.
主要方法:
- 作为触摸和曲传感器的单层TENG (SL-TENG) 和形TENG (CS-TENG) 的制造.
- 将TENG传感器与三软执行器机器人操纵器集成.
- 应用一维卷积神经网络 (1D-CNN) 进行传感器数据分析.
主要成果:
- 传感器表现出高灵敏度 (110 V/kPa) 和耐用性 (20,000 个周期).
- 该系统成功检测了抓取位置,接触压力和曲曲率.
- 1D-CNN在提取传感器信息方面实现了98.96%的准确性.
结论:
- 生物传感系统为机器人操纵器提供多模式感知.
- 综合系统显示了工业4.0应用的巨大潜力,包括自动组件分类.
- 这项工作突出了在先进的AI驱动机器人系统中使用基于TENG的自动供电传感器的可行性.
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