Togzhan Syrymova
Papers
1
Total Citations
9
H-Index
1
About
Togzhan Syrymova is a researcher at the forefront of human-robot interaction, with a particular focus on tactile sensing and object manipulation. Her work bridges the gap between robotic systems and human dexterity, addressing critical challenges in how robots perceive and handle objects during collaborative tasks. Syrymova’s most-cited paper, "Human–robot handover with prior-to-pass soft/rigid object classification via tactile glove" (2022), has garnered 9 citations—a notable achievement for a recent publication. In this study, she introduced a novel method for classifying objects as soft or rigid using tactile glove data before handover, enabling robots to adjust their grip and motion accordingly. This contribution enhances safety and efficiency in human-robot collaboration, particularly in manufacturing, healthcare, and assistive robotics. By integrating tactile feedback into the handover process, Syrymova’s work lays the groundwork for more intuitive and adaptive robotic systems. Her research not only advances sensorimotor robotics but also offers practical solutions for real-world applications where robots must interact seamlessly with humans.
Research Focus
Key Achievements
Top Papers
- 1