Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection
High-precision surface defect detection in manufacturing is essential for ensuring quality control. Laser triangulation profilometric sensors are key to this process, providing detailed and accurate surface measurements over a line.
Evidence notes
- Experiments use UR3e as the physical evaluation platform.
- The reported results provide an independent evaluation on UR3e hardware.
Company context
Universal Robots develops collaborative robot arms for flexible automation in industrial and commercial environments.