Hsiang-Ping Yang

National Yang Ming Chiao Tung University

Papers

Total Citations

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About

Dr. Hsiang-Ping Yang is a leading researcher in assistive robotics and human-robot interaction, with a focus on developing intelligent systems that enhance mobility and safety for elderly and disabled users. Her most cited work, "Human intention recognition for robot walking helper using ANFIS" (2011), pioneered the use of adaptive neuro-fuzzy inference systems to interpret user intent through force-sensing grips on a passive robotic walker called i-go. This contribution laid the groundwork for more intuitive and responsive assistive devices, enabling robots to anticipate and adapt to human movements in real time. Dr. Yang’s research integrates machine learning, sensor fusion, and control theory to create user-centered robotic aids that prioritize natural interaction and autonomy. With over 10 citations on this seminal paper alone, her work has influenced subsequent studies in intention recognition and rehabilitation robotics. Her achievements include developing novel algorithms for Lasso-based intent inference and advancing the design of passive walkers that reduce fall risk while promoting independent mobility. Dr. Yang’s contributions continue to shape the field of assistive robotics, offering practical solutions for aging populations and individuals with mobility impairments.