M. Hanna
Papers
3
Total Citations
10
H-Index
2
About
M. Hanna is a researcher specializing in intelligent manufacturing systems, automated control, and formal modeling methodologies, with a particular focus on applying computational logic to industrial automation challenges. Working primarily in the early 1990s, Hanna made notable contributions to the integration of Petri net theory within Flexible Manufacturing Systems (FMS), pioneering approaches that brought greater rigor and reliability to complex automated environments. Hanna's most recognized work, "Fuzzy Petri nets to control vision system and robot behaviour under uncertain situations within an FMS cell" (1994, 5 citations), demonstrated how fuzzy logic combined with Petri nets could effectively model and control robotic and vision systems operating under conditions of uncertainty — a significant challenge in real-world manufacturing. Complementing this, earlier work from 1993 applied hierarchical Petri net modeling specifically to safety requirements within FMS environments, addressing a critical concern for industrial deployment. A third contribution extended these methods to vision-based decision-making within milling machine contexts. Collectively, Hanna's research helped establish formal frameworks for modeling, simulating, and safeguarding automated manufacturing cells, contributing foundational ideas to the fields of intelligent robotics, computer-integrated manufacturing, and safety-critical systems design.
Research Focus
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Top Papers
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