Papers

9

Total Citations

158

H-Index

7

About

M.G. Mehrabi is a distinguished researcher whose career has been dedicated to the modeling, control, and autonomous guidance of wheeled mobile robots (WMRs) and automated guided vehicles (AGVs). Spanning more than three decades of scholarship, his work has made foundational contributions to kinematic and dynamic path tracking control — a critical challenge in mobile robotics and intelligent transportation systems. His most influential contribution, "Synthesis of an Optimal Control Law for Path Tracking in Mobile Robots" (1992), has garnered 67 citations and established early theoretical groundwork for optimal steering strategies. Mehrabi's research systematically addressed a wide range of vehicle configurations, including front-steering robots, dual-steering AGVs, and differential-drive platforms with independent left and right traction wheels, demonstrating exceptional breadth within his specialization. Methodologically, Mehrabi combined rigorous mathematical modeling — including transfer functions, root-locus analysis, and dimensionless dynamic parameters — with experimental validation through prototype vehicles such as the CONCIC series. His continued productivity into the 2010s, developing sub-optimal nonlinear control strategies for intelligent vehicles, reflects a sustained commitment to bridging theory and real-world application. Altogether, his body of work represents a cohesive and lasting contribution to autonomous vehicle guidance and control engineering.

Research Focus

Key Achievements

7
H-Index
9
Papers
158
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Synthesis of an optimal control law for path tracking in mobile robots
67 citations · 1992
📈 Most Prolific Year: 2002 (3 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Concordia University, University West, Polytechnique Montréal, University of Detroit Mercy

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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