Papers
14
Total Citations
549
H-Index
9
About
Hyunkyu Park is a robotics and sensing researcher whose work sits at the intersection of soft robotics, tactile sensing, and machine learning. His most significant contributions center on developing large-area, scalable tactile sensors using electrical impedance and resistance tomography (EIT/ERT), addressing longstanding challenges in spatial resolution and calibration through deep neural networks and physics-informed simulation. His 2018 paper on pressure-insensitive strain sensors, now cited over 219 times, demonstrated elegant mechanical decoupling of tactile inputs to better replicate human skin sensing—a landmark contribution to the field. He has since pioneered DNN-based reconstruction methods for EIT/ERT sensors, enabling robust whole-body robotic skin with sparse electrode arrays, accumulating over 100 citations for his 2021 work alone. Beyond sensing, Park has contributed to soft actuator design, developing compact flat fabric pneumatic artificial muscles (ffPAMs) for wearable robotics. More recently, his work on graph-structured super-resolution and thermoformed 3D electronics reflects a growing ambition to push tactile sensing toward practical deployment in humanoid robots and healthcare. Collectively, his research has amassed over 500 citations, establishing him as a rising authority in intelligent soft robotic systems.
Research Focus
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