Octavian Bologa

Lucian Blaga University of Sibiu

Papers

12

Total Citations

113

H-Index

5

About

Octavian Bologa is a researcher whose work sits at the intersection of robotics, advanced manufacturing, and intelligent systems. His research spans two interconnected domains: the kinematics of redundant robotic manipulators and the application of industrial robots in non-traditional machining and forming processes. Bologa has made notable contributions to solving the complex inverse kinematics problem of 7-degree-of-freedom robotic arms, employing sophisticated computational approaches including Fuzzy Logic, Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Simulink-based modeling — work that has collectively garnered over 30 citations. His most impactful contribution, "Selecting Industrial Robots for Milling Applications Using AHP" (2017, 41 citations), introduced a structured decision-making framework that helps engineers identify suitable robots for continuous-path machining tasks — a significant advance as industrial robots increasingly challenge traditional CNC equipment. Further extending this work, he explored multi-process selection combining AHP and fuzzy logic to compare CNC milling, robot milling, and additive manufacturing. Bologa has also investigated incremental sheet metal forming using robotic platforms, demonstrating a versatile interest in expanding the functional boundaries of industrial robots. His body of work offers valuable practical guidance for engineers navigating today's rapidly diversifying manufacturing landscape.

Research Focus

Key Achievements

5
H-Index
12
Papers
113
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Selecting industrial robots for milling applications using AHP
41 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Lucian Blaga University of Sibiu

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago