材料视觉感知和排放机器人控制在地下水箱中 Baijiu发酵谷物
Yan Zhao1, Zhongxun Wang2, Hui Li1
1School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
这项研究介绍了一种智能机器人系统,用于自动从地下储中移除发酵谷物,减少传统造中的手工劳动. 混合机器人利用先进的视觉感知和3D重建来实现高效和可行的操作.
科学领域:
- 农业工程 农业工程
- 机器人技术 机器人技术 机器人技术
- 计算机视觉 计算机视觉
背景情况:
- 传统造业严重依赖于手工劳动来从地下储中排出发酵谷物,这给效率和安全带来了挑战.
- 现有的方法缺乏自动化,导致过度的人类干预和潜在的运营瓶.
研究的目的:
- 开发一种智能谷物出口策略,使用混合机器人来自动化排放过程.
- 提高效率,减少传统酒操作中的手动干预.
主要方法:
- 设计了一种多度自由度的混合机器人系统,并对其动力学进行了分析.
- 开发了一种基于视觉感知的运动控制方法,使用改进的Canny边缘检测和YOLO-v7进行图像分割.
- 深度信息被整合到合成点云,用于3D重建和内部空间建模.
主要成果:
- 该研究成功地展示了一种基于视觉感知的控制方法,用于释放发酵的谷物.
- 3D重建和模型匹配准确地复制了坦克的内部空间.
- 拟议的挖掘运动控制方法在实验上得到了可行性和运营效率的验证.
结论:
- 智能谷物输出策略有效地自动化了地下储中的发酵谷物排放.
- 混合机器人系统为传统造自动化提供了可行和高效的解决方案.
- 这项技术有可能显著改善酒行业的劳动条件和生产率.
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