Jongsoon Won

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About

Jongsoon Won is a roboticist specializing in manipulation and grasping in cluttered environments. His key research areas include robotic grasping, object singulation, and nonlinear pushing strategies. Won’s most notable contribution is his 2019 study, “Object Singulation by Nonlinear Pushing for Robotic Grasping,” which addresses the critical challenge of isolating a single target object from clutter using a robotic arm. Rather than focusing on dexterous grasp for varied shapes, Won innovatively developed a method to rapidly mitigate surrounding clutter through nonlinear pushing, enabling more efficient and reliable grasping. This work has garnered 3 citations, reflecting its foundational role in advancing practical robotic manipulation. Won’s approach is particularly valuable for real-world applications where speed and simplicity are paramount, such as in warehouse automation or assistive robotics. His research demonstrates a pragmatic focus on solving immediate physical constraints, making his contributions both accessible and impactful for students and researchers exploring robotic interaction with unstructured environments.