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走向自主零售库存和挑选:在密集的环境中实现强大的真空机器人操作的方法
Peter Kmecl1, Marko Munih1, Janez Podobnik1
1Faculty of Electrical Engineering, University of Ljubljana, Tržaška Cesta 25, 1000 Ljubljana, Slovenia.
Sensors (Basel, Switzerland)
|October 26, 2024
概括
这项研究引入了自适应式真空抓器和一个新的度量,抓力弹性,以改善机器人对各种零售商品的抓能力. 适应式抓柄可增强操纵稳定性和适应性,性能优于一些商业解决方案.
科学领域:
- 机器人和人工智能 机器人和人工智能
- 在零售环境中的自动化.
背景情况:
- 由于劳动力短缺和效率需求,零售业对自动化需求的增加.
- 机器人操纵在密集的零售货架内面临的各种物体形状的挑战.
- 目前基于真空的抓取技术在适应各种物体几何形状方面的局限性.
研究的目的:
- 提出一个用于零售环境中的机器人抓取的框架.
- 为零售环境开发一种基于真空的自适应式抓取解决方案.
- 引入一种新的评估指标 - - 抓取切削力弹性,用于评估机器人抓取稳定性.
主要方法:
- 开发一种基于真空的自适应式抓取系统.
- 引入和应用握力切削力弹性度量.
- 测试系统在各种零售物品形状和尺寸的性能.
主要成果:
- 适应式吸管证明了对各种形状和大小的物体的成功处理.
- 与一些商业替代品相比,拟议的解决方案显示出更高的适应性.
- 抓取切削力弹性指标提供了对操纵应力下的物体行为的洞察.
结论:
- 适应式真空抓取对于零售自动化挑战是有效的.
- 抓取切削力弹性度量为优化机器人抓取提供了有价值的数据.
- 开发的框架和解决方案增强了零售业的机器人采摘和补货能力.
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