Papers
91
Total Citations
5,431
H-Index
36
About
Yong-Lae Park is a pioneering researcher at the intersection of soft robotics, wearable technology, and intelligent sensing systems. His work spans three deeply interconnected domains: electronic skins and soft sensors, pneumatic soft actuators, and machine learning applications for robotic systems. Park has made landmark contributions to the development of bio-inspired wearable robotic devices, including soft ankle-foot orthoses and knee assist systems powered by pneumatic artificial muscles that closely mimic human musculoskeletal anatomy — work that has collectively garnered nearly 1,200 citations since 2014 alone. His influential 2020 paper on electronic skins and machine learning (680 citations) charts a transformative vision for autonomous soft robots capable of sophisticated tactile and proprioceptive sensing. Park has also advanced the practical deployment of soft robotics through critical reviews of pneumatic energy sources and machine learning methods, providing essential guidance to the broader research community. His development of multifunctional soft sensors and deep learning-based sensor characterization further addresses longstanding challenges of nonlinearity in soft material systems. Across more than 2,900 cumulative citations, Park's research has fundamentally shaped how soft robots sense, move, and interact with the human body.
Research Focus
Key Achievements
Top Papers
- 1Electronic skins and machine learning for intelligent soft robots680 citations · 2020
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- 3Wearable soft sensing suit for human gait measurement413 citations · 2014
- 4Pneumatic Energy Sources for Autonomous and Wearable Soft Robotics278 citations · 2014
- 5Review of machine learning methods in soft robotics249 citations · 2021
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- 9A Soft Wearable Robotic Ankle-Foot-Orthosis for Post-Stroke Patients158 citations · 2019
- 10Use of Deep Learning for Characterization of Microfluidic Soft Sensors129 citations · 2018