Automated Industrial Manipulation: Synthetic Dataset Generation and Learning from Demonstration for Flexible Production

This study presents an automated industrial manipulation pipeline that combines synthetic dataset generation for pose estimation and learning from demonstration (LfD) methods to enable flexible adaptation of assembly tasks without the need for a robotic expert.