AI Driven Autonomous Robot Commissioning (AIDARC)

该研究项目将开发一种技术，有可能从根本上改变工业机器人调试的方式。我们的愿景是使用传感器和数据分析模型的组合，结合机器学习来验证和纠正调试阶段的自动化错误。这是目前制造过程中的手动密集型阶段，需要人工干预和经常报废的试用部件。从环境角度或业务底线来看，这种过度浪费的人力、物力和能源资源不再可持续。这种新流程将实现更快、更高效的调试，从而促进更灵活的制造流程，能够更频繁地更改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.