Michel Owayjan
Papers
7
Total Citations
57
H-Index
4
About
Dr. Michel Owayjan is a leading figure in robotics and autonomous systems, with a research portfolio that spans mobile robot navigation, agricultural automation, and humanitarian demining. His most impactful work, "Mobile Robot Path Planning Using Genetic Algorithm in a Static Environment" (26 citations), established a foundational approach for optimizing robot trajectories in complex environments, demonstrating how evolutionary algorithms can solve real-world navigation challenges. Dr. Owayjan’s contributions extend to life-saving technology, notably through his work on "Landmine Detection and Classification Using MLP" (9 citations), where he integrated machine learning with autonomous robotics to locate anti-tank mines and unexploded ordnance. He has also advanced practical robotics in "Design and Development of a Pipeline Inspection Robot" (10 citations) and pioneered precision agriculture with his 2023 system for automated tomato inspection and harvesting using computer vision and robotic arms. His recent work on super-twisting sliding mode control for self-driving car steering and real-time drone surveillance systems further underscores his commitment to pushing the boundaries of intelligent, autonomous systems. With a career dedicated to bridging theoretical algorithms and tangible robotic applications, Dr. Owayjan’s research continues to inspire innovations in safety, efficiency, and automation.
Research Focus
Key Achievements
Top Papers
- 1Mobile Robot Path Planning Using Genetic Algorithm in a Static Environment26 citations · 2019
- 2Design and Development of a Pipeline Inspection Robot10 citations · 2018
- 3Landmine Detection and Classification Using MLP9 citations · 2011
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