Irina V. Pustokhina
Papers
2
Total Citations
73
H-Index
2
About
Dr. Irina V. Pustokhina is a leading researcher in intelligent manufacturing systems and industrial automation, with a focus on optimizing material handling and human-robot collaboration. Her seminal work on multi-load Automated Guided Vehicles (AGVs) in flexible manufacturing systems demonstrates how strategic scheduling can exponentially boost throughput in complex production environments like spinning mills—a contribution that has garnered 62 citations for its practical impact on Industry 4.0 logistics. She further advances the field through her development of ICACIA, an intelligent context-aware framework that integrates ontological reasoning with deep learning models to enable safe and adaptive cobot operations in defense industry settings. This interdisciplinary approach, combining AI, robotics, and industrial engineering, has earned recognition for addressing critical challenges in dynamic, high-stakes manufacturing. Dr. Pustokhina’s research not only provides actionable solutions for real-world factories but also establishes a foundation for next-generation autonomous systems, making her work essential reading for engineers and researchers seeking to bridge the gap between theoretical AI and tangible industrial efficiency.
Research Focus
Key Achievements
Top Papers
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