| Riga 35: | Riga 35: | ||
}} | }} | ||
{{Panel|icon=graduation-cap|title=Publications|body= | {{Panel|icon=graduation-cap|title=Publications|body= | ||
| + | ==2026== | ||
| + | <paper authors="Giada Lops, Francesco De Paola, Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo" conference="IFAC World Congress" place="Busan, South Korea" date="August 2026"> | ||
| + | Data-Driven Control of Type 2 Diabetes Progression via Personalized Physical Activity | ||
| + | </paper> | ||
| + | |||
| + | <paper authors="Giada Lops, Taha Ramdan, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference="European Control Conference (ECC)" place="Reykjavík, Iceland" date="July 2026"> | ||
| + | Bridging Clinical Knowledge and Reinforcement Learning in Automated Insulin Delivery: An LLM-in-the-Loop Approach | ||
| + | </paper> | ||
| + | |||
| + | <paper authors="Federico Baldisseri, Giada Lops, Mohab Mahdy Helmy Atanasious, Danilo Menegatti, Valentina Becchetti, Francesco Delli Priscoli, Saverio Mascolo, Vito Andrea Racanelli, Andrea Wrona" conference="European Control Conference (ECC)" place="Reykjavík, Iceland" date="July 2026"> | ||
| + | Safe Deep Reinforcement Learning Control of Type 1 Diabetes | ||
| + | </paper> | ||
| + | |||
==2025== | ==2025== | ||
<paper authors="M.A. Rezaei, G. Manfredi, V. A. Racanelli, L. De Cicco, S. Mascolo" conference="Proc. of 17th Int. Congress on Ultra Modern Telecommunications and Control Systems (ICUMT 2025)" place="Florence, Italy" date="Nov. 2025" pdf="icumt2025-uav.pdf"> | <paper authors="M.A. Rezaei, G. Manfredi, V. A. Racanelli, L. De Cicco, S. Mascolo" conference="Proc. of 17th Int. Congress on Ultra Modern Telecommunications and Control Systems (ICUMT 2025)" place="Florence, Italy" date="Nov. 2025" pdf="icumt2025-uav.pdf"> | ||
|
Vito Andrea Racanelli |
| Eng, PhD, Researcher |
Vito Andrea Racanelli graduated cum laude in Control Engineering from the Politecnico di Bari in October 2021, with a thesis titled "Autonomous Driving Systems: The AGV's Case." In January 2025, he earned his Ph.D. in Control Engineering, focusing on autonomous mobile robots, model predictive control, and networked systems.
His research spans multiple areas, including control strategies for industrial autonomous vehicles, predictive control for adaptive video streaming, and decentralized coordination of UAV swarms. He has presented his work at international conferences such as IFAC SAFEPROCESS, IEEE CCNC, and ICUAS.
Vito Andrea Racanelli is a member of the Control Engineering and Computer Science Laboratory (C3Lab) at Politecnico di Bari, where he collaborates on projects related to robotics and control theory.|
|
Vito Andrea Racanelli |
| Eng, PhD, Researcher |
Vito Andrea Racanelli graduated cum laude in Control Engineering from the Politecnico di Bari in October 2021, with a thesis titled "Autonomous Driving Systems: The AGV's Case." In January 2025, he earned his Ph.D. in Control Engineering, focusing on autonomous mobile robots, model predictive control, and networked systems.
His research spans multiple areas, including control strategies for industrial autonomous vehicles, predictive control for adaptive video streaming, and decentralized coordination of UAV swarms. He has presented his work at international conferences such as IFAC SAFEPROCESS, IEEE CCNC, and ICUAS.
Vito Andrea Racanelli is a member of the Control Engineering and Computer Science Laboratory (C3Lab) at Politecnico di Bari, where he collaborates on projects related to robotics and control theory.