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About

Inhyuk Baek’s research lies at the intersection of robotics and rehabilitation, with a focus on developing intelligent systems that enhance human mobility and manipulation. His work spans three key areas: sensor-based control of heavy machinery, intuitive gait generation for exoskeletons, and robotic rehabilitation for gait impairments. Baek’s most cited paper, “Sensor-based straight-line control of the end-point of a typical retrofitted hydraulic excavator” (2020, 13 citations), demonstrates his ability to apply advanced control algorithms to industrial equipment, improving precision and safety. In rehabilitation robotics, his “Intuitive Gait Pattern Generation for an Exoskeleton Robot” (2019, 8 citations) contributes to more natural and adaptive walking assistance. A standout achievement is his “Development of a Prototype Overground Pelvic Obliquity Support Robot for Rehabilitation of Hemiplegia Gait” (2022, 6 citations), which addresses a critical gap by targeting pelvic motion in the frontal plane—often neglected in sagittal-focused robots—offering novel support for stroke survivors. Additionally, his work on “Pre-Grasp Manipulation Planning to Secure Space for Power Grasping” (2021, 5 citations) tackles a practical challenge in robotic grasping, enabling firmer holds on objects near surfaces. With a growing citation impact, Baek’s contributions are shaping both industrial automation and assistive robotics.