Maria Grazia Di Giorgio
Papers
1
Total Citations
10
H-Index
1
About
Maria Grazia Di Giorgio is a leading researcher in collaborative robotics and intelligent manufacturing systems, with a focus on optimizing human-robot interaction in dynamic production environments. Her work addresses the critical challenge of task scheduling under uncertainty, where she pioneered the use of fuzzy logic approaches to manage unpredictable human actions and task durations in shared workspaces. Her most-cited paper, "Task scheduling for human-robot collaboration with uncertain duration of tasks: a fuzzy approach" (2019), has garnered 10 citations and established a foundational framework for safe, efficient collaborative assemblies. Di Giorgio’s contributions are vital to advancing Industry 5.0 paradigms, enabling robots to adaptively respond to human behaviors in real time. Her research bridges theoretical modeling and practical implementation, with implications for flexible manufacturing, ergonomics, and workplace safety. By integrating fuzzy decision-making into human-robot collaboration, she has opened new pathways for more intuitive and resilient automation systems. Her work continues to influence scholars and engineers seeking to harmonize human dexterity with robotic precision in next-generation factories.
Research Focus
Key Achievements
Top Papers
- 1