Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications. - Liam Boyle; Nicolas Baumann; Seonyeong Heo; Michele Magno (SENSORS, 2023)

DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units. - Liam Boyle; Julian Moosmann; Nicolas Baumann; Seonyeong Heo; Michele Magno (CoRR, 2024)

DTR: Delaunay Triangulation-based Racing for Scaled Autonomous Racing. - Luca Tognoni; Neil Reichlin; Edoardo Ghignone; Nicolas Baumann; Steven Marty; Liam Boyle; Michele Magno (IWASI, 2025)

RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning. - Liam Boyle; Nicolas Baumann; Paviththiren Sivasothilingam; Michele Magno; Luca Benini (CoRR, 2025)

Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow. - Liam Boyle; Jonas Kühne; Nicolas Baumann; Niklas Bastuck; Michele Magno (IEEE Robotics Autom. Lett., 2025)