About this document
IR Lab Project Report by team082026 is a document available to read on EtoBox.
The document presents a project report on developing a digital twin of a robotic welding cell using RoboDK software, aimed at optimizing welding cycle time through machine learning techniques. The methodology includes robotic simulation, real-time data acquisition, and the application of machine learning models, specifically Random Forest and Linear Regression, to predict and enhance welding performance. Results indicate a significant reduction in cycle time by approximately 92.86%, demonstrating the effect
- Author
- team082026
- Language
- EN