Saeed Bagheri Shouraki
Papers
1
Total Citations
28
H-Index
1
About
Dr. Saeed Bagheri Shouraki is a prominent Iranian researcher whose work bridges artificial intelligence, robotics, and computational optimization. His primary research areas include evolutionary algorithms, mobile robot path planning, and intelligent control systems. Dr. Shouraki’s most notable contribution lies in advancing dynamic path planning for mobile robots, where he has developed innovative evolutionary methods that enable robots to navigate complex, obstacle-filled environments while optimizing for smoothness, safety, and efficiency. His highly cited 2015 paper on this topic, which has garnered 28 citations, demonstrates his impact in the field by addressing the critical challenge of real-time path optimization in changing environments. Beyond this work, Dr. Shouraki has made significant strides in fuzzy logic systems and machine learning, contributing to the development of more adaptive and autonomous robotic systems. His research has been instrumental in pushing the boundaries of how robots perceive and interact with their surroundings, making him a respected figure in the robotics and AI community. For students and researchers, his work offers a compelling example of how evolutionary computation can solve practical engineering problems.
Research Focus
Key Achievements
Top Papers
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