Localisation and Navigation of a robot on an offshore wind turbine blade using intelligent algorithms

BladeBUG与伦敦帝国理工学院和离岸可再生能源弹射器合作，正在寻求资金来开发和测试一种能够在海上风力涡轮机上进行检查、维护和维修工作的自动机器人。虽然机器人可以极大地造福社会，但它们在工厂和实验室受控良好的环境之外的部署仍然是一个挑战。事实上，工程师不可能预见到机器人将不得不面对的每一种情况，因为每种情况都是不同的。该计划的目标之一是通过利用人工智能(机器学习)的最新进展来克服这一挑战，使机器人能够自主学习如何从意外情况下恢复，如机械损坏和风力涡轮机叶片表面的变化。该项目将通过解决供应链中一个关键缺失的要素--海上涡轮机叶片的自主机器人检测、维护和维修，巩固英国作为海上风能全球领导者的市场领先地位。此外，随着各国寻求从可再生能源中获得更多能源，这项将在英格兰东北部制造的创新将对全球市场具有吸引力。

BladeBUG, working with Imperial College London and the Offshore Renewable Energy Catapult, are seeking funding to develop and test an autonomous robot capable of carrying out inspection, maintenance and repair work on offshore wind turbines.While robots can greatly benefit society, their deployment outside the well-controlled environment of factories and labs remain a challenge. Indeed, engineers cannot foresee every situation that a robot will have to face because everysituation is different. One of the objectives of this proposal is to overcome this challenge by leveraging recent advances in Artificial Intelligence (Machine Learning) to enable robots to autonomously learn how to recover from unexpected situations, like mechanical damage and changes in the surface of a wind turbine blade.This project will cement the UK's market-leading position as the global leader in offshore wind by addressing a key missing element of the supply chain -- autonomous robotic inspection, maintenance and repair of offshore turbine blades. Furthermore, this innovation, to be manufactured in the North-East of England, will be attractive to a global market as nations seek to derive more of their energy from renewable sources.