AI Driven Autonomous Robot Commissioning (AIDARC)

这项研究项目将开发一种有可能从根本上改变工业机器人调试进行方式的技术。我们的愿景是使用结合了机器学习的传感器和数据分析模型来验证和纠正调试阶段的自动化错误。这目前是制造过程的人工密集型阶段，需要人工干预和试验经常报废的部件。从环境角度或业务底线来看，这种人力、物力和能源的过度浪费不再是可持续的。这种新工艺将使调试更快、更有效，进而促进更灵活的制造工艺，能够以更高的频率改变产品配置或推出新产品。

This research project will develop a technology that will have the potential to fundamentally change how industrial robot commissioning is conducted. The vision is to use a combination of sensors and data analysis models incorporating machine learning to verify and correct automation errors at the commissioning stage.This is currently a manually intensive phase of the manufacturing process requiring human intervention and trial parts that are often scrapped. This excessive waste of human, material and energy resources is no longer sustainable, from an environmental perspective or the business bottom line.This new process will enable faster, more efficient commissioning which in turn will facilitate more flexible manufacturing processes with the ability to change product configuration or introduce new products at a higher frequency.