Sever‐Gabriel Racz
Papers
22
Total Citations
179
H-Index
8
About
Sever-Gabriel Racz is a Romanian robotics and manufacturing engineer whose research bridges advanced control theory, intelligent decision-making, and modern fabrication processes. Working at the intersection of industrial robotics and manufacturing technology, he has made significant contributions to robot kinematics, multi-criteria decision-making in manufacturing, and robot-based machining applications. Racz's most impactful work focuses on applying Analytic Hierarchy Process (AHP) and fuzzy logic frameworks to guide engineering decisions — most notably his 2017 paper on selecting industrial robots for milling applications (41 citations), which helped establish robots as viable alternatives to traditional CNC machine tools. Alongside this, his comparative study of CNC milling, robot milling, and additive manufacturing processes (20 citations) has aided engineers in navigating an increasingly complex manufacturing landscape. His early contributions to solving inverse kinematics for redundant 7-DOF robotic arms using Adaptive Neuro-Fuzzy Inference Systems and fuzzy logic (15 and 13 citations respectively) demonstrated sophisticated approaches to a classically challenging robotics problem. More recently, Racz has extended his expertise into incremental sheet forming, mobile robot actuation design, and dynamic robot modeling using Simulink environments. With over 145 cumulative citations, his work offers practical, computationally intelligent tools for the next generation of manufacturing engineers.
Research Focus
Key Achievements
Top Papers
- 1Selecting industrial robots for milling applications using AHP41 citations · 2017
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- 5The inverse kinematics solutions of a 7 DOF robotic arm using Fuzzy Logic13 citations · 2012
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