Multi-modal Cluttered Scene Analysis in Knowledge Intensive Scenarios
- Mentors
- Jan-Hendrik, Ferenc Balint-Benczedi
- Organization
- Institute for Artificial Intelligence
This project implements Object Segmentation approaches based on Symmetry Constraints in knowledge intensive scenarios. The final documentation describes how this project is integrated to RoboSherlock framework and therefore enables RoboSherlock cognitive perception on surroundings in order to do more complex tasks such as Grasping, etc.