Matteo Calabria
Master's student in Industrial Automation Engineering with a passion for machine learning, deep learning, and control systems applications in industrial settings.
Education
Imperial Robotics Summer School
Jul 2025Imperial College, London, United Kingdom
Attended foundational and specialized lectures covering kinematics, robot learning and control, and completed a week-long project implementing RL policy for Unitree Go2 robot with multiple locomotion strategies.
PhD Summer School: Reinforcement Learning and LLMs for Robotics
Jul 2025University of Padova, Padova, Italy
Attended practical classes on LLM fundamentals and RL algorithms, with hands-on experience in HPC deployment and CloudGripper robot control via LLM instructions.
M.Sc. in Industrial Automation Engineering
2024 - PresentUniversity of Brescia, Brescia, Italy
Relevant Coursework: Numerical Analysis, Control Systems Technologies, Servo Systems and Robotics, Mechatronics Systems Interacting with Humans, Deep Learning and Neural Network Architectures
B.Sc. in Industrial Automation Engineering
2021 - 2024University of Brescia, Brescia, Italy
Relevant Coursework: Fundamentals of Computer Programming (C and Java), Fundamentals of Systems and Control, Vision Systems, Cybersecurity and Big Data
Experience
EuroTech Federation Fellow
CurrentFellowshipEuroTech Federation
Federating the best builders of today to create the Europe of tomorrow
Research Intern
InternshipUniversity of Brescia
Research Group on Control Systems
Designed and implemented a deep learning-driven control system within the ACTIVA Project to optimize intravenous anesthesia delivery. Significantly advancing patient safety and anesthesia precision.
Technical Office Assistant
Full-timeDAN TECHNOLOGY SRL
Supported the technical office by automating internal documentation workflows, streamlining internal processes and reducing manual workload. Contributed to the design and prototyping of robotic cell concepts using CAD tools to optimize layouts and assist production planning. Delivered technical support to customers, resolving technical integration issues and ensuring successful deployment of solutions.
Featured Projects
SO-101 Teleoperation with LeRobot
OngoingAssembled and 3D printed two open-source SO-101 robotic arms, developed a teleoperation pipeline to record synchronized kinematic and video data, and implemented & trained ACT and smolVLA policies on the collected dataset.
Reolink-DetectAI
2025Custom home security system using OpenCV and YOLOv8 to monitor RTSP camera streams, perform object detection, and send email alerts with detected images.
Downhill Event Detection
2025Processed 300k+ sensor samples. Achieved 80.6% classification accuracy with Weighted-KNN. Addressed class imbalance with bootstrapping technique using synthetic oversampling via the covariance matrix.
Automatic Control of Anesthesia
2024Designed a deep learning-driven control system within the ACTIVA Project predict BIS values and optimize intravenous anesthesia delivery, overcoming traditional closed-loop limitations.
Achievements
ISSA PULIRE Hackathon 2025
1st PlaceAI-Orchestrator: A real-time web app for managing stadium cleaning operations using AI. Built in just 6 hours, combining computer vision, forecasting, and smart task allocation.
Click for Demo →
ABB RoboCup 2025
2nd PlaceParticipated with University of Brescia team in a national-level robotics competition. Programmed virtual robotic cells and deployed pick-and-place tasks on real industrial robots.
Current Focus
I'm currently expanding my expertise in Reinforcement Learning and Deep Learning for industrial applications.