Andrea Garbugli
Papers
1
Total Citations
3
H-Index
1
About
Andrea Garbugli is a leading researcher at the intersection of wireless communications and industrial automation, with a core focus on enabling ultra-reliable, low-latency connectivity for next-generation smart factories. His work is particularly influential in the domain of mobile robot platooning, where he has pioneered novel scheduling solutions that leverage Device-to-Device (D2D) communications to enhance coordination and safety. His most cited paper, "A TSN-Like Slot-Based Scheduler for Improved Wireless Quality and Platoon Formation in Smart Factories" (2025), addresses a critical scalability challenge: as robot platoons grow, maintaining effective communication becomes increasingly difficult. By adapting Time-Sensitive Networking (TSN) principles to wireless environments, Garbugli’s scheduler improves wireless quality and platoon formation efficiency, directly supporting Industry 4.0 goals of reduced energy consumption and enhanced material transport. With 3 citations already in its first year, this work signals strong early impact. Garbugli’s contributions are vital for bridging the gap between theoretical wireless protocols and practical industrial deployments, making him a key figure in the evolution of smart manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1