Papers
17
Total Citations
132
H-Index
7
About
M. A. Gorkavyy is a prominent researcher specializing in robotics, intelligent automation, and energy optimization of technological processes. His work sits at the intersection of industrial robotics, machine learning, and smart manufacturing, with a particular focus on developing intelligent systems that enhance the efficiency and quality of automated production environments. Gorkavyy's most influential contributions include the development of algorithmic frameworks for optimizing energy consumption in robotized manufacturing, garnering 20 and 19 citations respectively for his 2018 studies involving KUKA industrial robot systems. His research into automated welding processes — specifically improving precision positioning and weld quality for thin-walled aerospace pipelines — has also attracted significant attention, accumulating over 30 citations across related publications from 2019. A notable achievement includes his design of an intelligent decision support system for welding parameter optimization, further demonstrating his commitment to practical, industry-applicable solutions. More recently, Gorkavyy has expanded into collaborative robotics and human-robot interaction, employing deep neural network ensembles to detect human keypoints within shared workspaces and modeling human factors in collaborative robotic control systems. With a steadily growing citation record and research spanning food industry robotization to aviation manufacturing, his work continues to shape the advancement of intelligent, energy-efficient automated production.
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