A Vision-Based Error Compensation Method for Accurate Robotic Positioning in Automated Marking
Accurate robotic positioning is essential in automated marking because residual pose error directly shifts the permanent mark. This study presents a one-step vision-based residual error compensation method that measures the displacement between the target and the marking-tool position after the initial robot motion, tr...