Angelo Campomaggiore
Papers
1
Total Citations
11
H-Index
1
About
Angelo Campomaggiore is a researcher focused on advancing human-robot collaboration (HRC) in industrial settings, with a particular emphasis on safety and adaptive control. His most cited work, "A Fuzzy Inference Approach to Control Robot Speed in Human-robot Shared Workspaces" (2019, 11 citations), addresses a critical challenge in modern manufacturing: enabling robots and human operators to work safely in shared spaces without physical barriers. Campomaggiore’s major contribution lies in developing a fuzzy logic-based system that dynamically adjusts robot speed based on real-time proximity to humans, balancing productivity with stringent safety requirements. This approach aligns with evolving industrial regulations that permit collaborative workspaces, moving beyond traditional caged robots. His research has practical implications for factories seeking to implement flexible, human-centric automation. While his citation count reflects a focused, emerging impact, his work is notable for tackling a core problem in Industry 4.0—how to make robots intuitive and safe partners rather than isolated machines. Campomaggiore’s contributions are particularly valuable for students and researchers exploring intelligent control systems, safety standards, and the future of human-robot interaction in manufacturing.
Research Focus
Key Achievements
Top Papers
- 1