Papers

2

Total Citations

18

H-Index

2

About

Mehrzad Nasirian’s research centers on robotics, control systems, and precision automation, with a particular focus on kinematic calibration and predictive control for high-accuracy applications. His most cited work, “Estimation and Calibration of Robot Link Parameters with Intelligent Techniques” (2011, 10 citations), addresses a critical challenge in robotics: the automatic calibration of manipulator link parameters to enhance precision without costly manual measurements. This contribution is foundational for industries requiring exacting robotic performance, such as manufacturing and aerospace. In a second influential paper (2011, 8 citations), Nasirian explores predictive control algorithms—Generalized Predictive Control (GPC) and Generalized Incremental Predictive Control (GIPC)—for a two-degree-of-freedom XY robot designed as a satellite tracking pedestal. By comparing these algorithms in a high-dynamic, full-motion context, he advances the reliability of earth station antennas for low-Earth-orbit satellite tracking. Though his citation counts reflect a focused, early-career impact, Nasirian’s work bridges theoretical control methods and real-world robotic systems, offering practical solutions for precision tasks. His research remains relevant for engineers and researchers developing autonomous systems that demand both accuracy and dynamic responsiveness.

Research Focus

Key Achievements

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Estimation and Calibration of Robot Link Parameters with Intelligent Techniques
10 citations · 2011
📈 Most Prolific Year: 2011 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: K.N.Toosi University of Technology, Aerospace Research Institute

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago