Cheng-Ying Song

Papers

Total Citations

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About

Cheng-Ying Song is a dedicated researcher in rehabilitation robotics, with a primary focus on developing innovative assistive technologies for individuals with lower-limb motor dysfunction. His key research areas include the design, optimization, and control of walking rehabilitation robots, particularly footpad-type systems aimed at restoring motor function and aiding elderly patients in gait training. Song’s most notable contribution is his foundational work on a footpad-type walking rehabilitation robot, detailed in his 2013 paper, which has garnered 2 citations and laid the groundwork for further advancements in the field. This research addresses critical challenges in improving mobility and quality of life for patients with motor impairments, showcasing his commitment to bridging engineering and clinical rehabilitation. While his citation count reflects a niche but impactful focus, Song’s work is valued for its practical applications and potential to enhance rehabilitation outcomes. His achievements highlight a career dedicated to advancing robotic solutions for human health, making him a notable figure in the specialized domain of rehabilitation robotics.