Francesco Verdoja
Academy Research Fellow
Academy Research Fellow
T410 Dept. Electrical Engineering and Automation
Full researcher profile
https://research.aalto.fi/...
Sähköposti
[email protected]
Puhelinnumero
+358504709544
Palkinnot
2023 Best Paper Award
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Mar 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
Tutkimusryhmät
- Intelligent Robotics, Academy Research Fellow
Julkaisut
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
Do Visual-Language Maps Capture Latent Semantics?
Matti Pekkanen, Tsvetomila Mihaylova, Francesco Verdoja, Ville Kyrki
2024
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
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
Using occupancy priors to generalize people flow predictions
Francesco Verdoja, Tomasz Kucner, Ville Kyrki
2024
Long-term Human Motion Prediction Workshop
LSVL: Large-scale season-invariant visual localization for UAVs
Jouko Kinnari, Riccardo Renzulli, Francesco Verdoja, Ville Kyrki
2023
Survey of maps of dynamics for mobile robots
Tomasz Piotr Kucner, Martin Magnusson, Sariah Mghames, Luigi Palmieri, Francesco Verdoja, Chittaranjan Srinivas Swaminathan, Tomáš Krajník, Erik Schaffernicht, Nicola Bellotto, Marc Hanheide, Achim J Lilienthal
2023
Constrained Generative Sampling of 6-DoF Grasps
Jens Lundell, Francesco Verdoja, Tran Nguyen Le, Arsalan Mousavian, Dieter Fox, Ville Kyrki
2023
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023
Localization under consistent assumptions over dynamics
Matti Pekkanen, Francesco Verdoja, Ville Kyrki
2023
Object-oriented mapping in dynamic environments
Matti Pekkanen, Francesco Verdoja, Ville Kyrki
2023