CAD-guided 6D pose estimation with deep learning in digital twin for industrial collaborative robot manipulation

View Full Paper

Ask AI

Bookmark

The method achieves high accuracy in 6D pose estimation, crucial for robot manipulation tasks.
Using YOLOE allows object localization without requiring extensive labeled data, overcoming training limitations.
Integration of DEFOM-Stereo generates reliable point clouds for more effective CAD model-based pose estimation.
This research enhances digital twin applications in smart manufacturing, facilitating better virtual representations.

Discussion

No takes yet. Share an insight, caveat, or question.

This approach integrates YOLOE and CAD models to enhance 6D pose estimation in industrial robots, improving accuracy.

Dong et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark