Stephanie Yung
Papers
1
Total Citations
8
H-Index
1
About
Stephanie Yung is a researcher at the intersection of robotics, biomechanics, and human motor control, with a primary focus on understanding and optimizing human-robot interaction. Her most-cited work, "Operational space analysis of human muscular effort in robot assisted reaching tasks" (2020, 8 citations), introduces a novel framework for quantifying muscular effort during robot-assisted movements. By applying operational space analysis—a concept traditionally used in robot dynamics—to human biomechanics, Yung provides a method to predict and reduce physical strain in rehabilitation and assistive robotics. This contribution is particularly impactful for designing more intuitive and less fatiguing exoskeletons and robotic therapy devices, bridging the gap between engineering models and human physiology. Her work has been cited in studies on adaptive control and ergonomic design, underscoring its relevance to both clinical and industrial applications. Yung’s research exemplifies a rigorous, interdisciplinary approach that advances the safety and efficacy of human-robot collaboration, making her a rising voice in the field of rehabilitation robotics.
Research Focus
Key Achievements
Top Papers
- 1