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

英国许多行业的机械检测和维护操作，如航空航天、制造业、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，无需操作员。沿着这种从人工检测到高级监控工具（如AR工具或数字孪生）的快速转变，许多企业都有兴趣部署智能多传感器技术，包括人工智能（AI）和机器人和自主系统（RAS），以使其检测和维护过程更耗时，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，用于使用各种机器人和自主系统（包括远程操作车辆（UAV）和无人机（UAV））检查和监控机械资产和基础设施。这些技术将能够适应英国不同的行业，并帮助他们远程检查其关键资产，近实时收集所需的信息（以不同的格式），并在发生事故之前预防事故。

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.