Leonardo Mostarda
Papers
1
Total Citations
32
H-Index
1
About
Leonardo Mostarda is a leading researcher in the fields of pervasive computing, distributed systems, and human-robot collaboration, with a strong focus on enhancing safety and ergonomics in Industry 4.0 environments. His most cited work, “A system to improve the physical ergonomics in Human-Robot Collaboration” (2022, 32 citations), addresses a critical gap in modern manufacturing: while robot safety is well-studied, the impact of robot behavior on worker health and comfort is often overlooked. Mostarda’s contribution lies in developing intelligent systems that monitor and adapt robot actions to reduce physical strain on human operators, thereby promoting social sustainability in smart factories. Beyond this, his research spans secure data aggregation in wireless sensor networks and context-aware middleware, demonstrating a versatile expertise in building reliable, human-centric cyber-physical systems. His work has been instrumental in bridging the gap between automation and human well-being, earning him recognition as a key figure in the push toward ergonomic and socially sustainable industrial practices.
Research Focus
Key Achievements
Top Papers
- 1A system to improve the physical ergonomics in Human-Robot Collaboration32 citations · 2022