Robotic autonomous mobility and industrial factory coordination

本博士将研究飞机机翼装配中的机器人自主移动和工业工厂协调。主要目标是：1)研究和开发系统，通过考虑影响流动性的参数（例如密封剂粘度），使静密封和清洁机器人系统更具移动性。2)研究过程异常以及如何在静密封和清洁机器人系统的移动性中适应它们，特别是关注路线阻塞。3)开发机器学习，以进一步开发用于静态密封和清洁机器人系统的“着火后忘记”方法。4)对未来全自动移动机器人工厂的研究。

This PhD will aim to investigate the robotic autonomous mobility and industrial factory coordination in aircraft wing assembly. The main objectives are to:1) Investigate and develop systems to make a static seal and clean robot system more mobile by considering the parameters affecting mobility for example sealant viscosity.2) Investigation of process anomalies and how to accommodate them in the mobility of static seal and clean robot system particularly focussing on route blockages.3) Develop machine learning for further development of 'fire and forget' approach for static seal and clean robot systems.4) Investigation of future steps to fully autonomous mobile robot factory.