Uncertainty-Based Autonomous Path Planning for Laser Line Scanners

This study proposes an algorithm to autonomously generate the scan path for a laser line scanner mounted on coordinate measuring machine. The is determined based task-specific measurement uncertainty in order prove conformance specified tolerances. novelty of integration uncertainty. development made possible by recent developments digital twins optical systems. Furthermore, takes all constraints this system into account. proposed validated different objects with surface characteristics. validation performed experimentally physical and virtually in-house developed twin. proves that theoretical coverable areas are measured properly, method applied equipment used leads adequate paths give measurements results sufficient specifications.