Wonseok Jeon

Papers

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About

Wonseok Jeon is a robotics researcher whose work bridges mechanical design and intelligent control, with a focus on enhancing robotic mobility, dexterity, and learning. His most cited paper, “Design of a transformable mobile robot for enhancing mobility” (2017, 18 citations), introduces a novel hybrid-type mobile robot that transforms its structure to improve stability, energy efficiency, and obstacle-crossing capability—key challenges in field robotics. Jeon also contributed to robotic manipulation through “Design, Modeling and Optimal Control Strategy for an Under-Actuated Anthropomorphic Robotic Finger” (2018), where he integrated silicon rubber skin and series elastic actuators to reduce actuator count while enabling compliant, human-like finger control. In reinforcement learning, his work “Reinforcement Learning with Converging Goal Space and Binary Reward Function” (2020) addresses the sparse reward problem by proposing a method to dynamically shrink the goal space, making it feasible for robotic agents to learn in vast environments with only binary feedback. These contributions reflect Jeon’s commitment to practical, bio-inspired robotics—from transformable platforms to dexterous hands and efficient learning algorithms—offering valuable insights for students and researchers working at the intersection of mechanical design and autonomous decision-making.