M. Khoshnejad
Papers
2
Total Citations
110
H-Index
2
About
M. Khoshnejad is a leading researcher in intelligent robotics and autonomous vehicle control, with a focus on neuro-fuzzy systems for sensor-based navigation. His most influential work addresses the challenging problem of autonomous parallel parking for car-like mobile robots. In his seminal 2009 paper, which has garnered 84 citations, Khoshnejad developed a neuro-fuzzy sensor-based controller that enables a vehicle to execute a parallel parking maneuver in a constrained rectangular space using just a single backward motion. This built upon his earlier 2005 work, cited 26 times, which introduced a neuro-fuzzy behavior-based control architecture that integrates sensor-driven behaviors to achieve the same goal. By combining fuzzy logic’s interpretability with neural networks’ adaptability, Khoshnejad’s contributions provide robust, real-time solutions for tight-space maneuvering—a critical capability for autonomous driving and mobile robotics. His research has significant implications for intelligent transportation systems, parking assistance technologies, and autonomous vehicle navigation, demonstrating how hybrid control systems can solve complex, real-world motion planning problems with precision and efficiency.
Research Focus
Key Achievements
Top Papers
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