About

Irina Kipyatkova is a leading researcher in multimodal human-robot interaction, assistive robotics, and intelligent control systems. Her work focuses on developing intuitive interfaces that enable natural communication between humans and machines, particularly for assistive and medical applications. Her most impactful contribution is the development of the Assistive Mobile Information Robot (AMIR), a prototype shopping cart that integrates voice and gesture-based interfaces with Russian speech and sign language recognition and synthesis, as detailed in her highly cited 2020 paper (33 citations). She has also advanced lip-reading technology for human-robot interfaces using pixel-based and geometry-based features (9 citations), and contributed to the control systems for lower limb exoskeletons, including the "REMOTION" medical exoskeleton, through intelligent human-machine interfaces. Her work bridges robotics, computer vision, and speech processing to create accessible, multimodal systems for individuals with disabilities. With a strong focus on Russian language processing and assistive technologies, Kipyatkova’s research has significant implications for improving quality of life through robotic assistance, making her a key figure in the field of human-robot interaction and rehabilitation robotics.

Research Focus

Key Achievements

3
H-Index
4
Papers
50
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
A Multimodal User Interface for an Assistive Robotic Shopping Cart
33 citations · 2020
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: St. Petersburg Institute for Informatics and Automation, Saint Petersburg State University of Aerospace and Instrumentation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago