通过使用改进的点对功能算法使用自动化头部起重机对线圈工件进行姿势估计
Yongbo Zhuang1, Jianli Man1, Yuchen Jiang1
1College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, China.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
本研究介绍了用于自动化起重机操作的新型3D点云算法,提高了港口线圈处理效率. 改进的方法实现了对线圈工件的准确姿势估计,满足实际应用需求.
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
- 物流和供应链管理的物流和供应链管理.
背景情况:
- 自动化港口运营,如仓储和转运,对于效率至关重要.
- 传统的线圈工件立体估计方法存在局限性.
研究的目的:
- 使用3D点云算法开发起重机操作的自动化系统.
- 为了提高卷轴工件的姿势估计精度和强度.
主要方法:
- 一个新的点云注册算法,结合了点对特征 (PPF) 和通用代最接近点 (GICP) 算法.
- 使用3D点云数据,精确地估计线圈工件的位置.
主要成果:
- 与传统方法相比,拟议的算法表现出优越的性能.
- 获得的平均值对一到三卷轴产生1.1%1.2%的估计误差.
- 处理时间从3.4到4.7秒不等,符合实际要求.
结论:
- 这种新的算法提高了点云注册的稳定性和适用性.
- 开发的方法有效地支持自动化起重机操作,用于港口的线圈处理.
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