Vito Andrea Racanelli
Eng, PhD, Researcher
Contacts
C3Lab, Dipartimento di Ingegneria Elettrica e dell'Informazione (DEI), Politecnico di Bari, ITALY
Lab: +39 080 596 3851
Email:
LinkedIn: https://www.linkedin.com/in/varacanelli/
Orc ID https://orcid.org/0000-0002-9507-7398
Short CV
Vito Andrea Racanelli graduated cum laude in Control Engineering from the Politecnico di Bari in October 2021 with a thesis entitled "Autonomous Driving Systems: The AGV's case." In January 2025, he earned his PhD in Control Engineering, specializing in the fields of autonomous mobile robots. His research interests include model predictive control, robotics, and network systems.
Research topics
  • Model Predictive Control
  • Safe Process
Publications

2025

  • Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo
    Real-Time MPC for Adaptive Video Streaming
    IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, Jan 2025 (PDF)

2024

  • Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo
    Live Streaming Synchronisation Using Event-triggered Consensus Control
    IEEE Transactions on Control of Network Systems, accepted, to appear (PDF)
  • M.A. Rezaei, G. Manfredi, V. A. Racanelli, S. Mascolo, L. De Cicco
    Decentralized Control of UAV Swarms for Bandwidth-Aware Video Surveillance Using NMPC
    Proc. of International Conference on Unmanned Aircraft Systems (ICUAS 2024), Chania, Greece, June 2024 (PDF)
  • Vito Andrea Racanelli,Saverio Mascolo
    Safe and Fault Tolerant Control of Industrial Differential Drive Vehicles
    12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes., Ferrara, Italy, May 2024

2023

  • Gioacchino Manfredi, Saverio Mascolo, Luca De Cicco and Vito Andrea Racanelli
    LSTM-Based Viewport Prediction for Immersive Video Systems
    Proc. of MedComNet 2023, Ponza, Italy, 13-15 June 2023 (PDF)
  • Walter Brescia, Giuseppe Roberto, Vito Andrea Racanelli, Saverio Mascolo, Luca De Cicco
    Point2Depth: a GAN-based Contrastive Learning Approach for mmWave Point Clouds to Depth Images Transformation
    Proc. 31st Mediterranean Conference on Control and Automation (MED2023), Limassol, Cyprus, June 26 – 29, 2023 (PDF)
Vito Andrea Racanelli
Eng, PhD, Researcher
Contacts
C3Lab, Dipartimento di Ingegneria Elettrica e dell'Informazione (DEI), Politecnico di Bari, ITALY
Lab: +39 080 596 3851
Email:
LinkedIn: https://www.linkedin.com/in/varacanelli/
Orc ID https://orcid.org/0000-0002-9507-7398
Short CV
Vito Andrea Racanelli graduated cum laude in Control Engineering from the Politecnico di Bari in October 2021 with a thesis entitled "Autonomous Driving Systems: The AGV's case." In January 2025, he earned his PhD in Control Engineering, specializing in the fields of autonomous mobile robots. His research interests include model predictive control, robotics, and network systems.
Research topics
  • Model Predictive Control
  • Safe Process
Publications

2025

  • Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo
    Real-Time MPC for Adaptive Video Streaming
    IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, Jan 2025 (PDF)

2024

  • Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo
    Live Streaming Synchronisation Using Event-triggered Consensus Control
    IEEE Transactions on Control of Network Systems, accepted, to appear (PDF)
  • M.A. Rezaei, G. Manfredi, V. A. Racanelli, S. Mascolo, L. De Cicco
    Decentralized Control of UAV Swarms for Bandwidth-Aware Video Surveillance Using NMPC
    Proc. of International Conference on Unmanned Aircraft Systems (ICUAS 2024), Chania, Greece, June 2024 (PDF)
  • Vito Andrea Racanelli,Saverio Mascolo
    Safe and Fault Tolerant Control of Industrial Differential Drive Vehicles
    12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes., Ferrara, Italy, May 2024

2023

  • Gioacchino Manfredi, Saverio Mascolo, Luca De Cicco and Vito Andrea Racanelli
    LSTM-Based Viewport Prediction for Immersive Video Systems
    Proc. of MedComNet 2023, Ponza, Italy, 13-15 June 2023 (PDF)
  • Walter Brescia, Giuseppe Roberto, Vito Andrea Racanelli, Saverio Mascolo, Luca De Cicco
    Point2Depth: a GAN-based Contrastive Learning Approach for mmWave Point Clouds to Depth Images Transformation
    Proc. 31st Mediterranean Conference on Control and Automation (MED2023), Limassol, Cyprus, June 26 – 29, 2023 (PDF)