Alexander Gegov
Papers
9
Total Citations
204
H-Index
8
About
Alexander Gegov is a prominent researcher whose work sits at the intersection of artificial intelligence, robotics, and intelligent systems. His research has made substantial contributions to the fields of assembly automation, tele-operated robotics, and computational intelligence, establishing him as a key figure in applying AI methodologies to real-world engineering challenges. Gegov's most influential work includes a comprehensive review of AI tools in assembly automation (43 citations), which synthesized applications of fuzzy logic, neural networks, genetic algorithms, and knowledge-based systems for industrial use. A significant thread throughout his career is the enhancement of tele-operated mobile robotics — developing expert systems and ultrasonic sensor integration to help operators navigate complex environments more safely and effectively, work that has attracted consistent scholarly attention across multiple publications accumulating over 100 citations combined. His research into the effects of communication time lags on tele-operator performance demonstrates a nuanced understanding of human-robot interaction, while his contributions to shipbuilding automation through corner-finding algorithms illustrate practical industrial impact. As co-editor of *Advances in Computational Intelligence Systems* (2019), Gegov has also shaped the broader academic conversation in his field. His body of work reflects a sustained commitment to making intelligent robotic systems more capable, safer, and practically deployable.
Research Focus
Key Achievements
Top Papers
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- 3Rule-Based System to Assist a Tele-Operator with Driving a Mobile Robot27 citations · 2017
- 4Advances in Computational Intelligence Systems24 citations · 2019
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