About Me
I'm a researcher in AI and mobile robotics and currently a PhD candidate with a background in computer science and control engineering. My work centers on developing advanced perception and navigation algorithms for ground-based mobile robots, with a particular focus on semantic mapping.
I'm passionate about Robotics, Automotive, and Aerospace, and I thrive in both team environments and leadership roles. At present, I'm collaborating with Leonardo SpA and the Istituto Italiano di Tecnologia (IIT) to enhance robots’ capabilities in object detection, re-identification, localization, and mapping.
Whether it's pushing the boundaries of autonomous navigation or bridging theory with real-world applications, I’m driven by the challenge of building intelligent systems that move, sense, and understand their environments.
Work Experience
Robotics Software Engineer
Leonardo SpA – Genova, Italy
June 2021 – Present
Robotic navigation and perception in unstructured environments. SLAM,Semantic Mapping, Object Pose Estimation and Re-Identification.
Affiliated Researcher
Istituto Italiano di Tecnologia – Genova, Italy
June 2021 – Present
Human re-identification for personalised human-robot interaction (HRI). Environment perception for mobile robots.
Altran School of Automotive
Capgemini Engineering – Roma, Italy
March 2021 – June 2021
Introduction to ADAS, Autonomous Driving, Localization, Filtering and Machine Learning. Development of a filtering method for train localization with GPS, IMU and Odometry which is robust to GPS outages
Education
PhD in AI and Mobile Robotics
University of Trento – Trento, Italy
November 2022 – Present
3D semantic SLAM and Perceptive Navigation to enhance the robots’ motion.
Qualification to the profession of Computer Engineer
La Sapienza – Roma, Italy
November 2021
MSc in Control Engineering
La Sapienza – Roma, Italy
October 2018 – January 2021
BSc in Computer Engineering
Roma Tre University – Roma, Italy
October 2015 – October 2018
Awards
Special Mention @ Innovative Idea contest for Cyber and Security Solutions
Leonardo Innovation Award 2024
An adaptive Framework for people and object re-identification and tracking.
Winner @ Innovative Idea contest for BU Automation
Leonardo Innovation Award 2024
packages handling with a robotic manipulator on a moving conveyor belt.
Best Poster Award
ICT-Days 2023 in Trento
3D semantic mapping preliminary results.
Best Oral Paper Award Finalists
Humanoids 2022 Conference
Amadio et al., Target-Referred DMPs for Learning Bimanual Tasks from Shared-Autonomy Telemanipulation.
Publications
Continuous Adaptation in Person Re-identification for Robotic Assistance
2024 IEEE International Conference on Robotics and Automation (ICRA)
Artifacts Mapping: Multi-Modal Semantic Mapping for Object Detection and 3D Localization
2023 European Conference on Mobile Robots (ECMR)
FollowMe: a Robust Person Following Framework Based on Visual Re-Identification and Gestures
2023 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO)
Contacts
If you want to collaborate or you have any question please send me an email or connect on linkedin.