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About

Wookeun Park is a robotics researcher whose work sits at the intersection of soft robotics, robotic manipulation, and machine learning-driven control systems. His most influential contribution, a 2021 review of machine learning methods in soft robotics (249 citations), established him as a leading synthesizer of knowledge in a field grappling with the inherent complexity of compliant, deformable systems. This work has become an essential reference for researchers navigating the modeling and control challenges unique to soft robotic platforms. Park's research places particular emphasis on robotic grippers that bridge the gap between soft and rigid design philosophies. His hybrid gripper work (2018, 126 citations) demonstrated how combining soft pneumatic actuators with rigid structures can yield more capable, adaptable end-effectors — a pragmatic approach that has significantly influenced gripper design methodology. He has further advanced this line of inquiry through sensorized gripper systems capable of evaluating grasping quality and enabling multimodal manipulation. Beyond manipulation, Park has contributed to rehabilitation robotics, developing wearable hand exoskeleton systems for quantitative motor function evaluation. Across his body of work, Park consistently pursues the challenge of making robots more physically adaptive and functionally intelligent — themes that make his research highly relevant to both industrial automation and assistive technology communities.