Irina Popova
Papers
2
Total Citations
5
H-Index
2
About
Irina Popova is a researcher whose work bridges robotics, cognitive science, and business strategy. Her primary research areas include neural dynamics for robotic perception and action, as well as competitive analysis in the pharmaceutical sector. Her most notable contribution is the development of a neural dynamics architecture for robotic grasping of novel objects, presented in her 2014 paper. This work integrates scene exploration, pose estimation, and shape classification with movement generation, effectively closing the perception-action loop for autonomous reaching and grasping. Although this paper has garnered 3 citations, its theoretical grounding in neuroscience-inspired models marks a significant step toward more adaptive robotic manipulation. In a different vein, Popova has also explored market dynamics, as seen in her 2022 study on the competitive advantages of pharmacy chains in Ukraine, which has received 2 citations. This work addresses the growing saturation of the pharmacy market and offers strategic insights for business competitiveness. Her dual focus on cutting-edge robotics and applied business analysis demonstrates versatility, making her contributions relevant to both engineering and economic research communities.
Research Focus
Key Achievements
Top Papers
- 1
- 2Assessment of the Competitive Advantages of Pharmacy Chains in Ukraine2 citations · 2022