Papers
2
Total Citations
14
H-Index
2
About
Morteza Majdi is a researcher whose work sits at the intersection of robotics, autonomous navigation, and intelligent control systems. His primary focus has been on path planning for mobile robotic platforms, particularly Automated Guided Vehicles (AGVs) — wheeled robots increasingly central to modern industrial automation and smart manufacturing environments. Majdi's most notable contribution lies in his application of fuzzy inference systems to enable AGVs to navigate effectively in unknown and dynamic environments, a challenging problem that demands real-time decision-making without prior environmental mapping. His 2006 paper on single-AGV path planning using fuzzy control techniques laid important groundwork in the field, accumulating 8 citations, while his 2008 follow-up extended this framework to coordinate multiple AGVs simultaneously — a significantly more complex problem with direct implications for warehouse automation and logistics — earning an additional 6 citations. Together, these works demonstrate a progressive and systematic approach to solving real-world robotics challenges through intelligent control methodologies. For students exploring autonomous systems or fuzzy logic applications in robotics, Majdi's research offers a clear and practical entry point into adaptive navigation strategies for industrial mobile robots.
Research Focus
Key Achievements
Top Papers
- 1AGV Path Planning in Unknown Environment Using Fuzzy Inference Systems8 citations · 2006
- 2