Buchun Song
Papers
4
Total Citations
119
H-Index
4
About
Buchun Song is a robotics engineer and researcher specializing in wearable exoskeleton systems, electro-hydraulic actuation, and intelligent control systems for human-assistive robotics. His work sits at the critical intersection of mechanical design, hydraulic engineering, and advanced control theory, focusing on developing practical solutions for lower-limb rehabilitation and mobility assistance. Song's most significant contributions center on the design and control of electro-hydraulic actuator (EHA) systems tailored for exoskeleton robots—a notoriously challenging domain due to the complex biomechanics of human movement. His 2019 landmark paper on a polycentric knee exoskeleton, which has garnered 51 citations, demonstrated how hydraulic systems could be engineered to replicate anatomically accurate joint motion while maintaining energy efficiency and load capacity. Complementary studies that same year, accumulating nearly 55 additional citations combined, addressed nonlinear control strategies and bidirectional pump limitations in hydraulic systems. More recently, Song introduced a fuzzy logic-based approach to real-time motion profile generation using hip joint angle data, advancing the field of intent recognition in wearable robotics. Collectively, his research portfolio reflects a coherent and impactful effort to bridge the gap between theoretical control design and clinically viable assistive technology.
Research Focus
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Top Papers
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