| Riga 63: | Riga 63: | ||
<paper authors="Giada Lops, Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference=" Workshop “Empowering Women in Science: Control Strategies to Close the Diversity and Inclusion Gap" place="Bari, Italy" date="June 2025"> | <paper authors="Giada Lops, Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference=" Workshop “Empowering Women in Science: Control Strategies to Close the Diversity and Inclusion Gap" place="Bari, Italy" date="June 2025"> | ||
POSTER: Safety-Aware Deep-RL for Automated Insulin Delivery: Toward Inclusive Diabetes Care | POSTER: Safety-Aware Deep-RL for Automated Insulin Delivery: Toward Inclusive Diabetes Care | ||
| + | </paper> | ||
| + | |||
| + | <paper authors="Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference="IEEE Transactions on Control of Network Systems" date=" vol. 12, no. 2, pp. 1381-1392, June 2025" pdf="tcns-2024.pdf"> | ||
| + | Live Streaming Synchronisation Using Event-triggered Consensus Control | ||
</paper> | </paper> | ||
| Riga 78: | Riga 82: | ||
===2024=== | ===2024=== | ||
| − | |||
| − | |||
| − | |||
| − | |||
<paper authors="M.A. Rezaei, G. Manfredi, V. A. Racanelli, S. Mascolo, L. De Cicco" conference="Proc. of International Conference on | <paper authors="M.A. Rezaei, G. Manfredi, V. A. Racanelli, S. Mascolo, L. De Cicco" conference="Proc. of International Conference on | ||
Unmanned Aircraft Systems (ICUAS 2024)" place="Chania, Greece" date="June 2024" pdf="icuas24.pdf"> | Unmanned Aircraft Systems (ICUAS 2024)" place="Chania, Greece" date="June 2024" pdf="icuas24.pdf"> | ||
|
Vito Andrea Racanelli |
| Eng, PhD, Researcher |
Researcher working in the fields of control theory, robotics, and autonomous systems. He is currently a visiting postdoctoral researcher at Carleton University (Canada) and collaborates with the C3Lab at the Polytechnic University of Bari, where he received his master's degree *cum laude* in Automation Engineering, followed by his Ph.D. in Industry 4.0 in January 2025.
His main research interests include Model Predictive Control (MPC), Reinforcement Learning, and data-driven control methods. From an applied perspective, his work focuses on the implementation of automation algorithms on drones (UAVs), mobile robotics platforms, and video streaming systems.
He is a member of ACM, IEEE, and IFAC. Over the course of his academic career, he has authored and co-authored several scientific papers presented at conferences and published in academic journals. His research primarily explores the integration between traditional control engineering techniques and artificial intelligence for industrial applications.|
|
Vito Andrea Racanelli |
| Eng, PhD, Researcher |
Researcher working in the fields of control theory, robotics, and autonomous systems. He is currently a visiting postdoctoral researcher at Carleton University (Canada) and collaborates with the C3Lab at the Polytechnic University of Bari, where he received his master's degree *cum laude* in Automation Engineering, followed by his Ph.D. in Industry 4.0 in January 2025.
His main research interests include Model Predictive Control (MPC), Reinforcement Learning, and data-driven control methods. From an applied perspective, his work focuses on the implementation of automation algorithms on drones (UAVs), mobile robotics platforms, and video streaming systems.
He is a member of ACM, IEEE, and IFAC. Over the course of his academic career, he has authored and co-authored several scientific papers presented at conferences and published in academic journals. His research primarily explores the integration between traditional control engineering techniques and artificial intelligence for industrial applications.