Barcelona, ES | +34 634617162 | riccardo.franceschini@live.it
I am a curious and passionate robotic researcher who loves tackling new challenges and pushing the boundaries of deep learning. Always eager to explore, I thrive on turning innovative ideas into real-world solutions.
DTU - Technical University of Denmark
2021 - 2024
Industrial Robotic & AI PhD at Danish Technical University conducted at Eurecat (Spain) under the MSCA-ITN programme
Thesis Title: Designing a Human-Drone Interaction: Insights from the AeroAssistant Framework
University of Trento (Italy) and Aalto University (Finland)
2018 - 2020
European Double Program at University of Trento (Italy) and Aalto University (Finland) under the EIT Digital Master Programme
Major: Robotics & AI | Minor: Business & Entrepreneurship
Thesis Title: Feasible and adaptive attention-based models for multimodal trajectory prediction in urban driving scenarios
University of Trento, Italy
2015 - 2018
Bachelor degree at University of Trento, Italy, ranked 1st for CS in Italy
Eurecat | 2021 – Present
The work involves developing and deploying advanced autonomy and shared-autonomy teleoperation for aerial inspection. It integrates augmented reality elements and deep learning approaches, running on embedded hardware, to retain human decision-making while leveraging autonomy features.
Technology used: C++, Python PyTorch, Robot Operating System (ROS1/2), OpenCV, Open3D, TensorFlow, Docker, Git
University of Trento | Feb 2020 – Jul 2021
Development of deep learning multimodal attention methods, combining extracted information from text, audio and video for emotion recognition in the context of human robot interaction.
Technology used: Python, PyTorch, Numpy, Sci-kit, Pandas, Docker, Git
Fondazione Bruno Kessler (FBK) | Oct 2020 – Dec 2020
Research on for an external company on unsupervised human pose keypoint estimation from video sources.
Technology used: Python, PyTorch, Numpy, Sci-kit, Pandas, Git
Bosch | Feb 2020 – Oct 2020
Development of deep learning attention methods for pedestrian and vehicle future trajectory prediction in the context of autonomous driving.
Technology used: Python, PyTorch, Docker, Git
Zucchetti Healthcare | Mar 2018 – Jun 2018
Development front-end and back-end of a Social Media Website in nursing houses for supporting reminisce activities.
Technology used: HTML, CSS, React Js, Node Js, SQLite
A web application for controlling ROS 2 robots, tailored for mobile usage. Inspired by retro handheld consoles.
Frontend: React, TypeScript, Vite
ROS Integration: rosbridge_server, web_video_server
3D Graphics: Three.js for robot visualization
Deployment: Docker, Caddy reverse proxy
Styling: CSS3 with custom theme system
This project bridges the gap between complex robotics systems and intuitive user interfaces, making robot control accessible through familiar gaming paradigms. It's particularly valuable for:
7 publications at international conferences and workshops
Authors: Riccardo Franceschini, Javier Rodriguez Marquez, Matteo Fumagalli, and Julian Cayero Becerra
International Symposium on Robot and Human Interactive Communication 2024
Authors: R Franceschini, JR Marquez, M Fumagalli, JC Becerra
2024 International Conference on Unmanned Aircraft Systems
Authors: R Franceschini, M Fumagalli, JC Becerra
2023 International Conference on Unmanned Aircraft Systems
Authors: R Franceschini, E Fini, C Beyan, A Conti, F Arrigoni, E Ricci
2022 26th International Conference on Pattern Recognition (ICPR)
Authors: R Franceschini, M Fumagalli, JC Becerra
2022 IEEE International Symposium on Safety, Security, and Rescue Robotics
Authors: H Berkemeyer, R Franceschini, T Tran, L Che, G Pipa
2021 IEEE International Conference on Robotics and Automation (ICRA)
Once you go sand you never go back!
Back in the days I was also on Spotify but know I like to play to relax.
As basic as an italian guy I love to cook. You should try my piadinas!