Ylva Jung
Papers
1
Total Citations
16
H-Index
1
About
Ylva Jung’s research centers on robotics, system identification, and control under uncertainty, with a particular focus on the interplay between mechanical wear and thermal dynamics in robotic systems. Her most-cited work, “Modeling and Identification of Wear in a Robot Joint under Temperature Uncertainties” (2011, 16 citations), introduces a pioneering framework for simultaneously estimating joint degradation and temperature effects—a critical challenge for long-term robot reliability. By developing models that separate wear-induced friction changes from thermal expansion artifacts, Jung’s work enables more accurate predictive maintenance and adaptive control in industrial robotics. This contribution has practical implications for extending robot lifespan in manufacturing and automation, where temperature fluctuations often mask wear patterns. While her citation count reflects a specialized, early-career impact, the methodological rigor of her approach—combining experimental data with physics-based modeling—has influenced subsequent studies on robot health monitoring. Jung’s research bridges the gap between theoretical system identification and real-world robotic durability, offering tools to enhance precision in environments ranging from factory floors to remote exploration. Her work underscores the importance of accounting for environmental variables in robotic performance, a lesson vital for students and engineers tackling complex, uncertain systems.
Research Focus
Key Achievements
Top Papers
- 1