Gianmarco Roggiolani
Ph.D. student Contact:Email: gianmarco.roggiolani@nulligg.uni-bonn.de
Tel: +49 – 228 – 73 – 29 05
Fax: +49 – 228 – 73 – 27 12
Office: Nussallee 15, 1. OG, room 1.003
Address:
University of Bonn
Photogrammetry, IGG
Nussallee 15
53115 Bonn

Research Interests
- Computer Vision
- Self-Supervised Learning
- SLAM
- Agricultural Robotics
Short CV
Gianmarco Roggiolani is a PhD student at the University of Bonn. He received a Bachelor’s degree in Computer and Automatic Engineering (2018) and a Master’s degree in Artificial Intelligence and Robotics (2021) from La Sapienza University in Rome, Italy. His thesis was focused on the integration of the IMU sensor into a SLAM pipeline.
Projects
- PhenoRob – Robotics and Phenotyping for Sustainable Crop Production (DFG Cluster of Excellence)
Teaching
- Sensors and State Estimation – Winter Semester 2021
- Advanced Techniques for Sensors and State Estimation – Summer Semester 2022
- Master Project “Self-Supervised Contrastive Learning in Traffic Scenes” – Winter Semester 2022
Publications
2023
- G. Roggiolani, M. Sodano, F. Magistri, T. Guadagnino, J. Behley, and C. Stachniss, “Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023.
[BibTeX] [PDF] [Code] [Video]@inproceedings{roggiolani2023icra-hajs, author = {G. Roggiolani and M. Sodano and F. Magistri and T. Guadagnino and J. Behley and C. Stachniss}, title = {{Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain}}, booktitle = icra, year = {2023}, codeurl = {https://github.com/PRBonn/HAPT}, videourl = {https://youtu.be/miuOJjxlJic} }
- G. Roggiolani, F. Magistri, T. Guadagnino, J. Weyler, G. Grisetti, C. Stachniss, and J. Behley, “On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023.
[BibTeX] [PDF] [Code] [Video]@inproceedings{roggiolani2023icra-odsp, author = {G. Roggiolani and F. Magistri and T. Guadagnino and J. Weyler and G. Grisetti and C. Stachniss and J. Behley}, title = {{On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics}}, booktitle = icra, year = 2023, codeurl= {https://github.com/PRBonn/agri-pretraining}, videourl = {https://youtu.be/FDWY_UnfsBs} }