Tiantang Yu
Papers
3
Total Citations
40
H-Index
3
About
Tiantang Yu is a robotics researcher whose work sits at the intersection of rehabilitation engineering, intelligent control, and soft robotics. His primary contributions lie in developing novel robotic systems for medical rehabilitation, with a particular focus on lower limb motion assistance. Yu’s most influential work, “Lower limb motion recognition based on surface electromyography signals and its experimental verification on a novel multi-posture lower limb rehabilitation robot,” has garnered 19 citations and demonstrates his expertise in integrating biological signal processing with robotic control. In this study, he developed a multi-posture rehabilitation robot capable of providing tailored training amplitudes and frequencies for hip, knee, and ankle joints. His second most-cited paper (18 citations) explores a novel 3D soft pneumatic actuator (3D-SPA) for gripping in multi-environment applications, showcasing his versatility in soft robotics design. Yu has also advanced control theory through his work on fractional-order PIλDμ controllers combined with IIMO-BP neural network algorithms for rehabilitation robot tracking control. His research addresses critical challenges in human-robot interaction, offering practical solutions for assistive technologies that could improve quality of life for individuals with mobility impairments.
Research Focus
Key Achievements
Top Papers
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