AI and Robotics for Autonomous Maintenance and Inspection Systems (ARAMIS)

英国许多行业的机械检查和维护作业，如航空航天、制造、铁路运输、可再生能源、石油和天然气、水等，正在迅速实现自动化和免操作员。随着从人工检测到高级监控工具(如AR工具或数字双胞胎)的快速转变，许多企业对部署包括人工智能(AI)和机器人与自主系统(RAS)在内的智能多传感器技术感兴趣，以使他们的检测和维护过程更耗时且更容易。该项目旨在开发先进的数据驱动的人工智能(AI)和机器学习(ML)技术，以使用包括遥控飞行器(ROV)和无人机(UAV)在内的各种机器人和自主系统对机械资产和基础设施进行检查和监测。这些技术将具有适应英国不同行业的能力，并帮助它们远程检查其关键资产，近乎实时地收集所需信息(以不同的格式)，并在发生之前防止事件发生。

Mechanical inspection and maintenance operations across many UK industries such as aerospace, manufacturing, rail transport, renewable energy, oil and gas, water, etc. are rapidly being automized and operator free. Along with this rapid shift from manual inspection to advanced monitoring tools (such as AR tools or digital twins), many businesses are interested in deploying smart multi-sensor technologies including Artificial Intelligence (AI) and robotics and autonomous systems (RAS) to make their inspection and maintenance processes less time-consuming and a lot easier. This project aims to develop advanced data-driven artificial intelligence (AI) and machine learning (ML) technologies for the purpose of inspection and monitoring of mechanical assets and infrastructure using a wide range of robotic and autonomous systems including remotely operating vehicles (ROV) and unmanned aerial vehicles (UAV). These technologies will have the capability of being adapted to different UK industries and assist them in inspecting their critical assets remotely, collecting required information (in different formats) in near real-time and preventing incidents before happening.