Mohammad Reza Jahed Motlagh

Iran University of Science and Technology

Papers

Total Citations

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About

Dr. Mohammad Reza Jahed Motlagh is a distinguished researcher in intelligent control systems and robotics, with a focus on enhancing automation precision and adaptability. His work spans machining process optimization, robot manipulator control, and bipedal locomotion. Notably, his 2006 paper on adaptive fuzzy Petri nets for CNC machine tools (15 citations) introduced an intelligent modeling system that significantly improves machining quality by integrating fuzzy logic with Petri net structures, offering a novel approach to process monitoring and error compensation. In 2009, he advanced PID gain tuning for robot manipulators by combining genetic algorithms with fuzzy logic (7 citations), creating a hybrid method that optimizes joint control performance through evolutionary search and fuzzy ranking—a contribution that bridges computational intelligence and practical robotics. His 2017 work on biped robot gait optimization (3 citations) addresses the challenge of stable walking with point-feet, proposing an online optimization method that adapts to modeling errors or environmental changes, overcoming limitations of offline approaches. Dr. Motlagh’s research demonstrates a consistent commitment to integrating AI-driven techniques into mechanical and robotic systems, with applications in manufacturing and autonomous robotics. His work continues to inspire advancements in adaptive control and intelligent automation.