Angelo Feraudo
Papers
1
Total Citations
3
H-Index
1
About
Angelo Feraudo’s research lies at the intersection of wireless communications, industrial automation, and intelligent transportation systems, with a particular focus on enabling reliable, low-latency connectivity for next-generation smart factories. His most cited work, “A TSN-Like Slot-Based Scheduler for Improved Wireless Quality and Platoon Formation in Smart Factories,” addresses a critical bottleneck in Industry 4.0: coordinating platoons of mobile robots via Device-to-Device (D2D) communications. Feraudo proposes a novel scheduler inspired by Time-Sensitive Networking (TSN) principles, which dynamically allocates transmission slots to maintain high wireless quality even as robot fleet sizes grow. This contribution directly tackles the scalability and reliability challenges that hinder efficient material transport, energy savings, and safety in automated environments. With 3 citations since its 2025 publication, the paper has already sparked interest among researchers working on industrial wireless networks and cooperative robotics. Feraudo’s work is notable for bridging theoretical scheduling algorithms with practical deployment scenarios, offering a pathway to more robust platoon formation in real-world smart factories—a key step toward fully autonomous industrial ecosystems.
Research Focus
Key Achievements
Top Papers
- 1