Papers
2
Total Citations
44
H-Index
2
About
N. Yakymets is a leading researcher in the safety and dependability of autonomous robotic systems, with a particular focus on model-driven engineering for critical applications. Her work bridges the gap between system design and rigorous safety assurance, ensuring that robots operating with minimal human intervention meet stringent dependability requirements. Her most-cited paper, "Model-driven safety assessment of robotic systems" (2013, 33 citations), introduced a pioneering methodology for integrating safety analysis directly into the early stages of robotic system development. Building on this, her 2018 paper "Model-Based Engineering, Safety Analysis and Risk Assessment for Personal Care Robots" (11 citations) extended the approach to personal care robots, aligning with international standards IEC12100 and ISO13482. Yakymets’ contributions are notable for creating a platform based on Papyrus UML and RobotML, enabling engineers to perform safety assessments concurrently with system modeling. Her work has significantly advanced the field by providing practical tools for developing safer, more reliable robots, making her a key figure in model-based safety engineering for robotics.
Research Focus
Key Achievements
Top Papers
- 1Model-driven safety assessment of robotic systems33 citations · 2013
- 2