Francesco Verdoja
Academy Research Fellow
Academy Research Fellow
T410 Dept. Electrical Engineering and Automation
Full researcher profile
https://research.aalto.fi/...
Phone number
+358504709544
Honors and awards
Best Safety, Security, and Rescue Robotics Paper finalist
Nominated for the Best Safety, Security, and Rescue Robotics Paper award sponsored by the International Rescue System Initiative (IRSI) at the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Invitation or ranking in competition
Department of Electrical Engineering and Automation
Oct 2024
2022 Best Paper Award
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Sep 2024
PhD scholarship Sisvel Technology
3-year PhD scholarship, founded by Sisvel Technology, devoted to the PhD project "Innovative techniques for segmentation and movement estimation in HD video sequences".
Award or honor granted for academic or artistic career
Department of Electrical Engineering and Automation
Jan 2014
Best Student Award
A scholarship of 500 € awarded to the best PhD student attending the school
Invitation or ranking in competition
Department of Electrical Engineering and Automation
Jul 2014
Best 10% Paper
The article "Superpixel-driven Graph Transform for Image Compression" has been ranked amongst the best 10% of all the accepted articles at ICIP 2015.
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Sep 2015
Academic GPU Grant
Awarded a GPU NVIDIA GeForce Titan Xp to support my research on deep learning in robotics
Award or honor granted for academic or artistic career
Department of Electrical Engineering and Automation
Aug 2018
Research groups
- Intelligent Robotics, Academy Research Fellow
- Intelligent Robotics, Staff Scientist
Publications
REACT: Real-time Efficient Attribute Clustering and Transfer for Updatable 3D Scene Graph
Phuoc Nguyen, Francesco Verdoja, Ville Kyrki
2025
2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2025
Do Visual-Language Grid Maps Capture Latent Semantics?
Matti Pekkanen, Tsvetomila Mihaylova, Francesco Verdoja, Ville Kyrki
2025
2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2025
QuASH: Using Natural-Language Heuristics to Query Visual-Language Robotic Maps
Matti Pekkanen, Francesco Verdoja, Ville Kyrki
2025
2026 IEEE International Conference on Robotics and Automation (ICRA)
Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation
Shivam Chaubey, Francesco Verdoja, Ville Kyrki
2024
Workshop on Towards Collaborative Partners: Design, Shared Control, and Robot Learning for Physical Human-Robot Interaction
Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation
Shivam Chaubey, Francesco Verdoja, Ville Kyrki
2024
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Evaluating the quality of robotic visual-language maps
Matti Pekkanen, Tsvetomila Mihaylova, Francesco Verdoja, Ville Kyrki
2024
Workshop on Vision-Language Models for Navigation and Manipulation
Localization Under Consistent Assumptions Over Dynamics
Matti Pekkanen, Francesco Verdoja, Ville Kyrki
2024
2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2024
Modeling movable objects improves localization in dynamic environments
Matti Pekkanen, Francesco Verdoja, Ville Kyrki
2024
Workshop on Future of Construction: Lifelong Learning Robots in Changing Construction Sites
Object-Oriented Grid Mapping in Dynamic Environments
Matti Pekkanen, Francesco Verdoja, Ville Kyrki
2024
2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2024
Bayesian Floor Field: Transferring people flow predictions across environments
Francesco Verdoja, Tomasz Kucner, Ville Kyrki
2024
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)