Motivation
To improve the absolute accuracy of robot arms computer vision based approaches are applied. The 6DoF pose of a sample mounted at the robot endeffector has to be estimated.
Topics
- Deep learning models for 6DoF pose estimation with subpixel accuracy
- Keypoint detection based on RGB, RGB-D and CAD data
- 2D-3D and 3D-3D keypoint correspondence learning
- Unsupervised/self-supervised deep learning methods for automatically adapting to new sample shapes
Skills
- Python skills are preferable
- Computer vision skills are preferable
- Deep learning skills are preferable







