Marina Pismenskova
Papers
1
Total Citations
4
H-Index
1
About
Marina Pismenskova is a leading researcher in intelligent manufacturing and human-robot collaboration, with a focus on integrating deep learning into industrial automation. Her most-cited work, "Control of Collaborative Robot Systems and Flexible Production Cells on the Basis of Deep Learning" (2019, 4 citations), introduces a novel contact-free control system that leverages a three-dimensional biomechanical model of the human skeleton for gesture recognition. By employing deep learning and preliminary data analysis through saliency maps, Pismenskova’s method significantly enhances the efficiency of classifying gestural commands, enabling safer and more intuitive interaction between humans and robots in flexible production cells. This contribution addresses critical challenges in Industry 4.0, such as real-time adaptability and operator safety, and has been recognized for its potential to transform collaborative robotics. Her work underscores a commitment to bridging artificial intelligence with practical manufacturing solutions, making her a notable figure in the advancement of smart factory technologies.
Research Focus
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Top Papers
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