Papers
7
Total Citations
205
H-Index
7
About
Dr. Aydin Azizi is a leading researcher at the intersection of robotics, artificial intelligence, and intelligent manufacturing. His work focuses on enhancing the autonomy and efficiency of robotic systems, from industrial manipulators to mobile platforms. A central theme in his research is the application of AI techniques—including artificial neural networks and fuzzy logic—to solve complex problems in dynamic and uncertain environments. His most cited work (51 citations) pioneers the use of AI to optimize the dynamic behavior of robotic arms for sustainable Industry 4.0 applications. He has also made significant contributions to autonomous navigation, developing a vision-based unmanned ground vehicle for tennis ball collection using fuzzy logic (35 citations) and a robust adaptive control system for leader–follower mobile robot formations with dynamic obstacle avoidance. Dr. Azizi’s expertise extends to the kinematic modelling and control of parallel manipulators, as well as optimal trajectory planning for minimizing time and jerk. His work on intelligent material handling systems further demonstrates his commitment to advancing modern manufacturing. With a portfolio of highly cited papers, Dr. Azizi is recognized for developing practical, AI-driven solutions that push the boundaries of robotic autonomy and industrial efficiency.
Research Focus
Key Achievements
Top Papers
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- 4Intelligent Mobile Robot Navigation in an Uncertain Dynamic Environment28 citations · 2013
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- 6Optimal Trajectory Planning for Parallel Robots Considering Time-Jerk23 citations · 2013
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