Max Robotics — Global Service Robot Directory + US Certification

About

Seunghoon Hwang’s research bridges the critical gap between human movement and robotic assistance, focusing on exoskeletons, rehabilitation robotics, and heavy machinery automation. His work addresses real-world challenges—from aiding elderly individuals with mobility impairments to preventing accidents in remote-controlled excavators. Hwang’s most-cited paper (2021, 18 citations) introduces a Gaussian mixture model for locomotion mode recognition using IMU sensors, enabling smarter, terrain-aware walking assistance. He has also developed intuitive gait pattern generation for exoskeletons and a prototype pelvic obliquity support robot (2022) that targets hemiplegic gait rehabilitation, moving beyond traditional sagittal-plane approaches. In construction robotics, Hwang’s sensor-based straight-line control (2020, 13 citations) and collision avoidance strategies for dual excavators (2020, 10 citations) advance teleoperation safety. His recent work characterizes human shoulder joint stiffness across 3D arm postures (2024), revealing sex differences that inform ergonomic design. Hwang’s contributions extend to soft robotics, including a variable stiffness actuator with a tendon-driven layer jamming mechanism. With over 70 total citations and a portfolio spanning assistive devices, human-robot interaction, and industrial automation, Hwang’s research is shaping safer, more adaptive robotic systems for both clinical and construction environments.