Papers
5
Total Citations
47
H-Index
3
About
Heeju Mun is a pioneering researcher in soft robotics and human-robot interaction, with a focus on developing novel sensor technologies and actuators. Her work centers on creating highly stretchable and compressible sensors, such as the coiled polymer sensor for soft continuum manipulators, and integrating multi-degree-of-freedom force sensors into soft robotic grippers to enhance grasping stability. Mun has made significant contributions to the modeling of dielectric elastomer actuators, positioning them as artificial muscles for robotic applications. Her innovative force myography systems, including thin flexible optical fiber designs and versatile wearable platforms, have advanced motion recognition and intuitive human-robot interaction. With over 47 citations across her most-cited papers, Mun’s research has demonstrated substantial impact, particularly her 2024 work on soft robotic grippers, which garnered 20 citations. Her proof-of-concept studies and recent 2025 publication on optical fiber-based FMG systems highlight her commitment to pushing the boundaries of sensor robustness and sensitivity, making her a key figure in the field of soft robotics and interactive systems.
Research Focus
Key Achievements
Top Papers
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