Andrey Yavolovsky
Papers
2
Total Citations
7
H-Index
2
About
Andrey Yavolovsky is a researcher whose work lies at the intersection of robotics, human-robot interaction, and cyber-physical systems. His primary research areas include physical human-robot interaction, sensor-based action recognition, and decision-theoretic monitoring of complex systems. Yavolovsky's notable contribution in the field is his investigation of how pressure sensors can be used to identify and interpret manipulation actions during human physical interaction. In his most-cited work, "Using pressure sensors to identify manipulation actions during human physical interaction" (2015, 5 citations), he demonstrated how data from pressure sensors mounted on a glove can be mapped to specific manipulation actions, with important applications in elderly care and assistive robotics. This work provides a foundation for developing robots that can better understand and respond to human physical cues. Additionally, his research on "Decision-Theoretic Monitoring of Cyber-Physical Systems" (2016, 2 citations) explores formal methods for ensuring safety and reliability in complex autonomous systems. While his citation counts are modest, Yavolovsky's work represents an important step toward more intuitive and responsive human-robot collaboration, particularly in caregiving contexts.
Research Focus
Key Achievements
Top Papers
- 1
- 2Decision-Theoretic Monitoring of Cyber-Physical Systems2 citations · 2016