This result delivers a robust AI-powered vision framework designed to enable autonomous robotic manipulation in variable and cluttered industrial environments by ensuring precise object segmentation and 6D pose estimation.

Leveraging advanced hardware (such as Photoneo and Zivid cameras) and cutting-edge algorithms like YOLOv11 and SAM trained on synthetic data, it solves the challenge of handling high-mix product varieties without extensive manual setup.

This solution significantly enhances manufacturing flexibility and efficiency by automating the recognition and localization of complex parts, thereby reducing configuration time and operational costs.

Responsible partner: AIMEN (+ TEK as key collaborator)