Michael De Angelis
Papers
2
Total Citations
7
H-Index
2
About
Michael De Angelis is a forward-thinking researcher at the forefront of next-generation network automation and collaborative robotics. His work centers on integrating **6G architectures** with **closed-loop automation** to enable seamless, low-latency control of **collaborative robots (cobots)**. De Angelis’s major contribution lies in developing intent-based networking (IBN) frameworks that allow cobots to migrate tasks across multi-stakeholder environments with minimal downtime—a critical capability for industrial surveillance and autonomous operations. His most-cited paper (2024, 5 citations) pioneers closed-loop cobot control within 6G networks, enhancing situational awareness and task continuity. A subsequent proof-of-concept (2025, 2 citations) demonstrates the practical integration of IBN enablers, such as the Intent-Based Network Intent Management Entity, to automate service migration. Though early in his citation trajectory, De Angelis’s work is already shaping the convergence of telecommunications and robotics, offering a blueprint for resilient, intent-driven automation in Industry 4.0 and beyond. His research promises to redefine how cobots interact with dynamic network environments, ensuring reliability and efficiency in critical applications.
Research Focus
Key Achievements
Top Papers
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- 2