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: C3Lab, Dipartimento di Ingegneria Elettrica e dell'Informazione (DEI), Politecnico di Bari, ITALY | : C3Lab, Dipartimento di Ingegneria Elettrica e dell'Informazione (DEI), Politecnico di Bari, ITALY | ||
: '''Lab''': +39 080 596 3851 | : '''Lab''': +39 080 596 3851 | ||
| − | : '''Email''': | + | : '''Email''': vitoandrea.racanelli@poliba.it |
: '''LinkedIn''': https://www.linkedin.com/in/varacanelli/ | : '''LinkedIn''': https://www.linkedin.com/in/varacanelli/ | ||
: '''OrcID''': https://orcid.org/0000-0002-9507-7398 | : '''OrcID''': https://orcid.org/0000-0002-9507-7398 | ||
| Riga 18: | Riga 18: | ||
}}}} | }}}} | ||
{{Column|6|{{Panel|con=user|title=Short CV|body= | {{Column|6|{{Panel|con=user|title=Short CV|body= | ||
| − | + | 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 research | + | 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. | |
}}}} | }}}} | ||
}} | }} | ||
| Riga 28: | Riga 28: | ||
{{Panel|icon=search|title=Research topics|body= | {{Panel|icon=search|title=Research topics|body= | ||
* Model Predictive Control | * Model Predictive Control | ||
| − | * Safe | + | * Safe and Fault-Tolerant Control |
| + | * Multi-Agent and Autonomous Systems | ||
| + | * Adaptive Video Streaming | ||
| + | * Learning-Based Control Systems | ||
| + | |||
}} | }} | ||
{{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, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference="12th International Conference on Control, Decision and Information Technologies (CODIT)" place="Bari, Italy" date="July 2026" pdf="codit2026_diabetes.pdf"> | ||
| + | Risk-Aware Multi-Horizon Glucose Prediction for Type 2 Diabetes Using Temporal Attention and Conformal Prediction | ||
| + | </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" pdf="0270.pdf"> | ||
| + | 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" pdf="120.pdf"> | ||
| + | Safe Deep Reinforcement Learning Control of Type 1 Diabetes | ||
| + | </paper> | ||
| + | |||
==2025== | ==2025== | ||
| − | <paper authors="Giada Lops,Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo" conference="33rd Mediterranean Conference on Control and Automation" place="Tangier, Morocco" date="June 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"> |
| + | An Online Path Planner for Bandwidth-aware Aerial Camera Networks | ||
| + | </paper> | ||
| + | |||
| + | <paper authors="Giada Lops, Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference="Special Session SMCs-DAY: Data-Driven Control for Human-Machine Systems, Automatica.it 2025" place="Perugia and Assisi, Italy" date="Sept. 2025"> | ||
| + | Safe Learning-based Automated Insulin Delivery for Personalized Type 1 Diabetes Treatment | ||
| + | </paper> | ||
| + | |||
| + | <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 | ||
| + | </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 authors="Giada Lops,Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo" conference="33rd Mediterranean Conference on Control and Automation" place="Tangier, Morocco" date="June 2025" pdf="med2025.pdf"> | ||
A Safety Aware Deep Reinforcement Learning Technique for Automated Insulin Delivery | A Safety Aware Deep Reinforcement Learning Technique for Automated Insulin Delivery | ||
</paper> | </paper> | ||
| − | <paper authors="Giada Lops,Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo" conference="1st IFAC Workshop on Engineering Diabetes Technologies (EDT 2025)" place="Valencia, Spain" date="May 2025"> | + | <paper authors="Giada Lops,Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo" conference="1st IFAC Workshop on Engineering Diabetes Technologies (EDT 2025)" place="Valencia, Spain" date="May 2025" pdf="edt.pdf"> |
A Deep Deterministic Policy Gradient control algorithm for Automatic Insulin Delivery | A Deep Deterministic Policy Gradient control algorithm for Automatic Insulin Delivery | ||
</paper> | </paper> | ||
| Riga 45: | 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 |
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.