Papers
9
Total Citations
212
H-Index
8
About
Myungsun Park is a robotics researcher specializing in soft robotics, proprioceptive sensing, and wearable technologies. His work addresses one of the most persistent challenges in soft robotics: achieving accurate state estimation and control in highly compliant, deformable systems that resist traditional sensing approaches. Park's most influential contribution, "Optically Sensorized Elastomer Air Chamber for Proprioceptive Sensing of Soft Pneumatic Actuators" (2020, 63 citations), introduced an innovative optical sensing framework that dramatically improved feedback control in soft pneumatic systems. Building on this, his 2021 work on probabilistic modeling and Bayesian filtering (44 citations) established rigorous mathematical tools for robust state estimation despite high sensor noise — a recurring obstacle in the field. His research extends into wearable robotics, including a stretchable hand-pose reconstruction glove (44 citations) and selectively stiffening garments for wearable exosuits, reflecting a broad vision of human-robot physical integration. His teleoperation work incorporating real-time haptic feedback further demonstrates his commitment to closing the sensorimotor loop between humans and soft machines. With over 200 cumulative citations and contributions spanning actuator design, control theory, and bio-inspired locomotion, Park represents an emerging voice shaping the future of intelligent, body-conforming robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5Selectively Stiffening Garments Enabled by Cellular Composites13 citations · 2022
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