Software-Driven Calibration Method for a Pick-and-Place Process
Machine calibration is important for optimal performance throughout the lifespan of industrial processes. A prime example is the pick-and-place process, where robots must manipulate objects accurately. Currently, this process is manually calibrated, which can be a complex practice. This thesis studies a software-based approach to error detection within the process, aiming to reduce the need for ma