Radu-Eugen Breaz
Papers
18
Total Citations
166
H-Index
8
About
Radu-Eugen Breaz is a leading figure in advanced manufacturing and robotics, renowned for integrating decision science with industrial automation. His research centers on robotic machining, incremental sheet forming, and intelligent kinematics for redundant manipulators. Breaz’s major contributions include pioneering the use of the Analytic Hierarchy Process (AHP) for selecting industrial robots in milling applications—a work that has garnered 41 citations—and developing combined AHP-fuzzy models to compare CNC milling, robot milling, and additive manufacturing. He has also advanced inverse kinematics for 7-DOF robotic arms using Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and fuzzy logic, with papers cited 15 and 13 times, respectively. His recent work on mobile robots, including AHP-based actuation selection and dynamic modeling for Mecanum wheels, has earned 13 citations. Breaz’s impact is evident in over 150 total citations across his top papers, reflecting his influence on both theoretical frameworks and practical implementations. Notably, his research on integrating trajectory planning with torque estimation for industrial robots in incremental forming has been recognized for its potential to enhance energy efficiency and precision in manufacturing.
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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