工业绘图和资产监控的多域机器人群:技术挑战和解决方案
Fethi Ouerdane1, Ahmed Abubaker1, Mubarak Badamasi Aremu1
1Control & Instrumentation Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.
Sensors (Basel, Switzerland)
|October 29, 2025
概括
本研究介绍了使用地面和空中车辆进行工业资产监控的多域机器人群. 该系统在复杂的环境中准确检测和读取标尺,提高检查效率.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 工业自动化 工业自动化
背景情况:
- 由于可访问性问题,工业环境对手动测量仪检查提出了重大挑战.
- 现有的监测方法在封闭,地下或高海拔地区往往是低效和危险的.
研究的目的:
- 开发一个多域机器人群系统,用于智能工业绘图和资产监控.
- 整合异质的地面和空中机器人平台,以增强检查能力.
主要方法:
- 集成了一个TurtleBot 2 (地面车辆) 与SLAM和LiDAR进行映射,以及一个QDrone 2 (空中车辆) 进行图像捕捉.
- 开发了一个多域机器人群系统,用于协调工业检查任务.
- 在模拟和真实世界的工业检查场景中评估系统性能.
主要成果:
- 与机器人群一起实现了准确的映射和高定位精度.
- 使用OCR检测仪表表准确率达84%,读取指标准确率达87.5%.
- 成功导航复杂的工业环境,验证了机器人平台之间的实时协作.
结论:
- 开发的多域机器人群系统为工业资产监控提供了可行的智能解决方案.
- 地上机器人和空中机器人的集成可以在具有挑战性的工业环境中提高检查效率和安全性.
- 该系统显示了实时协作机器人操作在工业环境中的巨大潜力.
关键词:
4月 标签 标签 时间这就是ROSOS ROS.斯拉姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯同时链接是同步链接.无人机UGV合作合作这是YOLOv5的.数字计数器读数数字计数器读数硬件在循环中的测试 (HIL)实时通信实时通信.基于视觉的着陆着陆更多相关视频
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