Armin Ghanbarzadeh
Papers
5
Total Citations
38
H-Index
4
About
Armin Ghanbarzadeh is a robotics and control systems researcher whose work sits at the intersection of intelligent control design and human-robot collaboration (HRC) safety. His research focuses on developing advanced control strategies for robotic manipulators, with a particular emphasis on trajectory tracking precision and ensuring safe physical interaction between humans and robots in shared workspaces. Among his most notable contributions is his development of genetic algorithm-optimized fuzzy logic controllers (GA-FLC) for robotic manipulators, demonstrating superior trajectory tracking accuracy over conventional PID approaches — work that has garnered 13 citations since 2022. Ghanbarzadeh has also made significant strides in translating ISO/TS 15066 safety standards into practical control frameworks, designing systems that enforce Power and Force Limiting modes to protect human operators during collaborative tasks. His variable impedance control methodology, grounded in the same ISO standard, reflects a sophisticated understanding of adaptive safety in dynamic environments. With a growing citation record across multiple publications and research spanning intelligent fuzzy systems, particle swarm optimization, and compliance-based safety control, Ghanbarzadeh is establishing himself as a thoughtful contributor to the evolving field of safe and intelligent industrial robotics.
Research Focus
Key Achievements
Top Papers
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