对于食品处理的机器人终端效应器的评估系统
Zhe Qiu1, Hannibal Paul1, Zhongkui Wang2
1Research Organization of Science and Technology, Ritsumeikan University, Kusatsu 525-0058, Japan.
Foods (Basel, Switzerland)
|November 25, 2023
概括
日本 日本 日本 日本 日本.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 农业技术 农业技术
- 食品科学 食品科学 食品科学
背景情况:
- 日本人口老龄化和劳动力短缺造成了对自动化食品处理的需求.
- 现有的机器人终端效应器对于各种食品的多样性有限.
- 需要一个系统的方法来评估和开发食品处理的机器人终端效应.
研究的目的:
- 开发和验证一个系统来评估机器人食品处理的最终效应因素.
- 为了有效的机器人处理,对食品产品和最终影响者进行分类.
- 建立食物特性和最终效应者能力之间的关系.
主要方法:
- 根据机器人处理特性对食品进行分类.
- 通过掌握原则对机器人最终效应者进行了分类.
- 使用具有视觉识别的机器人系统 (机器人操作系统2 - ROS2) 来处理测试.
- 实施了绩效评估的评分系统和结果的可视化方法.
主要成果:
- 使用拟议的系统评估了14种食品和7种机器人终端效应器.
- 量化地比较了各种食品中不同终端效应因子的表现.
- 观察到真实食品及其样品之间明显的处理差异.
结论:
- 拟议的评估系统提供了一种定量方法来评估最终效应器的性能和多功能性.
- 该系统有助于识别合适的终端效应因子,并指导开发新的终端效应因子.
- 有效的分类和评估对于推进机器人食品处理技术至关重要.
相关概念视频
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