Andrea Pagnini

PhD student

Short bio

Andrea Pagnini graduated with a Master’s degree in Automation Engineering from the University of Bologna in 2024. Prior to that, he participated in the AlmaTong Double Degree program, earning a Bachelor’s degree in Automation Engineering from the University of Bologna, Italy, and a Bachelor of Science in Control Theory and Control Engineering from Tongji University, China.

For his Master’s thesis, Andrea worked with Bosch in Stuttgart, Germany, on “Reference-Tracking Model Predictive Control for Highly Automated Vehicles,” exploring the application of MPC techniques in safety-critical areas such as autonomous driving. He is currently pursuing a PhD project titled “Efficient Optimal Sensor-Based Control of Aerial Drones” with the ACENTAURI team at the Inria Centre, Université Côte d’Azur, France.

Research Interests

Andrea Pagnini’s research interests focus on optimization and autonomous systems, with a particular emphasis on UAVs and AGVs. His work primarily involves developing advanced and optimal control algorithms to enable real-time decision-making in dynamic environments. Andrea’s research aims to enhance the efficiency, safety, and robustness of autonomous systems through optimal sensor-based control strategies, addressing challenges like uncertainty, system constraints, and real-time computational limits.