Mohammad Bagher Menhaj
Amirkabir University of Technology, Qazvin Islamic Azad University
Papers
50
Total Citations
608
H-Index
15
About
Mohammad Bagher Menhaj is a prominent robotics and control systems researcher whose work spans intelligent control, multi-robot coordination, and advanced nonlinear system design. Over his career, he has made significant contributions to the control of wheeled mobile robots, robotic manipulators, and autonomous multi-agent systems, consistently bridging theoretical rigor with practical application. Menhaj's early contributions introduced neuro-adaptive and fuzzy-based control frameworks — including a notable model reference adaptive controller for robot arms (2003) — that addressed the inherent challenges of nonlinear, uncertain systems. His research expanded into multi-robot systems, where he developed distributed receding horizon coverage strategies and formation control using Asexual Reproduction Optimization, his most-cited work with 63 citations. He has also advanced robust control methods, particularly through state-dependent Riccati equation (SDRE) approaches for flexible-joint manipulators and observer-based controllers for teleoperation systems under time-varying delays. More recently, Menhaj has applied precision image processing to robotic welding seam tracking, demonstrating his range across both theoretical and applied domains. With a body of work accumulating hundreds of citations, his research continues to influence autonomous robotics, adaptive control theory, and intelligent systems engineering worldwide.
Research Focus
Key Achievements
Top Papers
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- 5Distributed Receding Horizon Coverage Control for Multiple Mobile Robots29 citations · 2014
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- 10Coverage control in unknown environments using neural networks23 citations · 2011