使用自主机器人系统在民用基础设施中检测裂:平台,认知和自主行动的协同审查
Rong Dai1, Rui Wang1, Chang Shu1
1School of Computer Science, Civil Aviation Flight University of China, Guanghan 618307, China.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
本研究介绍了自主机器人裂检测的结构化框架,集成物理平台,AI算法和导航系统. 它旨在提高基础设施检查的效率和安全性.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 机器人技术 机器人技术 机器人技术
背景情况:
- 手动裂检查是低效和不安全的.
- 现有的评论缺乏机器人裂检测系统的整体观点.
研究的目的:
- 为机器人裂检测提出一个结构化的框架.
- 分析自主基础设施检查中的关键技术和挑战.
主要方法:
- 开发了一个连接物理平台,认知核心和自主行动模块的框架.
- 分析了机器人,人工智能和传感技术之间的相互作用.
- 检查了现实世界的实施挑战.
主要成果:
- 识别了集成机器人裂检测系统的关键组件.
- 强调了硬件,人工智能算法和导航之间的相互作用.
- 概述了目前的进展和未来的研究方向.
结论:
- 自主机器人系统为基础设施裂检查提供了一个有希望的解决方案.
- 结构化,综合的方法对于开发有效的系统至关重要.
- 对于智能,可部署的裂检测解决方案,需要进一步的研究.
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