基于视觉操作的透明塑料袋在工业设置中的操作
F Adetunji1,2, A Karukayil1,2, P Samant1,2
1The School of Physical and Engineering Sciences, Heriot-Watt University, Edinburgh, United Kingdom.
Frontiers in robotics and AI
|February 12, 2025
概括
这项研究引入了一种自主系统,用于切割和拆装透明塑料袋,增强工业自动化. 基于视觉的机器人解决方案实现了高精度,提高了工业4.0环境中的效率和安全.
科学领域:
- 机器人和自动化机器人与自动化
- 计算机视觉 计算机视觉
- 工业工程 工业工程 工业工程
背景情况:
- 工业4.0强调数据驱动的流程,连接性和机器人技术,以增强价值链.
- 自主系统,包括协作机器人 (cobots),对于提高工业效率和安全至关重要.
- 像处理透明塑料袋等任务的自动化在工业环境中提出了重大挑战.
研究的目的:
- 开发和评估基于视觉的操作系统,用于自主切割和拆装透明塑料袋.
- 解决工业自动化中塑料袋的透明度和可变性所带来的挑战.
- 通过整合先进的机器人和人工智能,为工业4.0范式做出贡献.
主要方法:
- 利用卷积神经网络 (CNN) 在各种条件下对透明塑料袋进行稳健检测.
- 集成的跟踪算法和深度传感器用于采集和放置操作中的3D空间意识.
- 采用真空抓取与合规控制和一个Franka Emika机器人手臂用于精确的操纵.
主要成果:
- 成功自动拆装和切割透明塑料袋,用于8堆散装机.
- 通过严格的实验室测试,在各种环境条件下检测和操纵袋子方面表现出高精度.
- 在处理和处理任务方面展示了可靠的性能,克服了透明度和操纵的挑战.
结论:
- 开发的系统对于精确和可适应的工业应用非常有效,与工业4.0原则保持一致.
- 先进的视觉,深度传感和合规控制的结合提供了一个强大的自动化解决方案.
- 协同机器人的集成为提高工业效率,安全性和可持续性提供了巨大的潜力.
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