Vito Andrea Racanelli

Vito Andrea Racanelli is a Researcher at the Department of Electrical and Information Engineering, Politecnico di Bari, Italy. He holds a PhD in Control Engineering (2025) and a cum laude Master's degree in Control Engineering (2021). His research focuses on control strategies for autonomous systems, including industrial vehicles, UAV swarms, and adaptive video streaming. He is affiliated with the Control Engineering and Computer Science Laboratory (C3Lab), collaborating on robotics and control theory projects.

Education:

• Bachelor/Master: Politecnico di Bari (2016–2021), Thesis: 'Autonomous Driving Systems: The AGV's Case'
• PhD: Politecnico di Bari (2021–2025), Focus: Model Predictive Control, Networked Systems, and Autonomous Mobile Robots

Research interests span Model Predictive Control (MPC), decentralized coordination of UAV swarms, fault-tolerant industrial automation, and medical technology applications (e.g., insulin delivery systems). His work bridges control theory with real-time systems, emphasizing safety and adaptability in dynamic environments.

His publications highlight advancements in MPC-based video streaming optimization, event-triggered consensus algorithms for live streaming, and GAN-based depth reconstruction for mmWave sensors. He has presented at top conferences like IEEE CCNC, IFAC SAFEPROCESS, and ICUAS.

Advising/grants: No formal advisees listed. Collaborates on C3Lab projects funded by EU and national initiatives in robotics and control systems.

Labs/Teams: Active member of C3Lab, contributing to interdisciplinary research in robotics, networked control, and AI-driven systems.