Filippo GATTI
Papers
1
Total Citations
12
H-Index
1
About
Filippo Gatti is a researcher at the forefront of integrating telecommunications, artificial intelligence, and edge computing to enable real-time robotic control. His work centers on the convergence of 5G networks, AI-driven image processing, and GPU acceleration, with a particular focus on reducing latency in remote operations. In his most cited paper, "Remote Control of a Robot Rover Combining 5G, AI, and GPU Image Processing at the Edge" (2020, 12 citations), Gatti demonstrated a groundbreaking system where a robot rover navigated a slalom course entirely through low-latency 5G control, leveraging edge-based AI and GPU processing. This achievement showcases his ability to bridge theoretical network capabilities with practical, high-performance robotics. While his citation count reflects an emerging career, the impact of this work lies in its proof-of-concept for future applications in autonomous vehicles, teleoperation, and industrial automation. Gatti’s research is particularly notable for its hands-on, demo-driven approach, offering a tangible glimpse into how 5G and AI can unlock new possibilities for remote control in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1