A manufacturing robot performs the same tasks again and again. But its movements, although highly precise, typically aren’t quite perfect, and tasks may vary slightly over time. As a result, the robot’s performance may be suboptimal, and it may sometimes fail outright.
Optimizing manufacturing robot performance ordinarily requires substantial human expertise and development time, as well as introducing risks.
SentianController can apply machine learning to the task results and make intelligent changes to (for example) PLC parameters to optimize robot performance, while leaving the fundamental algorithms unchanged. This yields safe and low-cost improvements without human involvement.