Tatiana Totskaya
Papers
2
Total Citations
9
H-Index
2
About
Tatiana Totskaya is a pioneering researcher in human-robot interaction, with a specific focus on developing intelligent robotic assistants for surgical environments. Her work centers on the intersection of machine learning, formal methods, and robotics, particularly in creating systems that can learn and adapt to human behavior in real-time. Totskaya's major contributions include the development of an unsupervised learning algorithm that uses timed input-output automata to model and predict human-robot interactions, as demonstrated in her 2009 paper on scrub nurse robot behavior planning. This approach allows robots to autonomously learn interaction patterns without explicit programming. Additionally, she has advanced supervised learning techniques for motion recognition, creating voting automata that can identify surgeon hand movements during laparoscopic procedures. While her citation counts (6 and 3 respectively) reflect the specialized nature of her work, these foundational papers have informed subsequent research in surgical robotics and human-robot collaboration. Totskaya's innovative use of automata theory for interaction learning represents a significant methodological contribution, bridging formal verification with practical robotic applications in high-stakes medical settings.
Research Focus
Key Achievements
Top Papers
- 1Human-robot interaction learning using timed automata6 citations · 2009
- 2