InChan Hwang

Papers

Total Citations

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About

InChan Hwang is a pioneering researcher in wearable robotics and autonomous systems, with a career spanning from foundational work in mobile robotics to cutting-edge innovations in assistive technology. His early research established a model-based approach to spatial learning for autonomous mobile robots (1995), laying groundwork for intelligent navigation systems. Hwang's most impactful contribution, however, lies in his 2020 design of a wearable robotic glove using surface-mounted actuators. This novel exo-glove departs from traditional rigid-jointed robot hands by deforming the robotic finger's skin to manipulate hand skeleton joints—a scalable, biomimetic approach that accommodates variations in hand kinematics. With 10 citations, this work has influenced the field of soft robotics and rehabilitation engineering, offering a more adaptable and comfortable solution for individuals with hand impairments. Hwang's research bridges mechanical design, control systems, and human-robot interaction, demonstrating a sustained commitment to creating intuitive, body-integrated robotic aids. His trajectory from model-based spatial learning to soft wearable robotics reflects a deep understanding of both computational and physical aspects of autonomous and assistive systems.