Papers
2
Total Citations
19
H-Index
2
About
Zhaojing Zhang is a researcher whose work sits at the critical intersection of rehabilitation robotics and human-machine interaction. Her primary research areas focus on lower limb motion intention recognition and the development of advanced control strategies for robotic exoskeletons. Zhang’s most significant contribution is her pioneering work on a multi-channel surface electromyography (sEMG) based method for recognizing human lower limb motion intention, which directly addresses the challenge of intuitive control in exoskeletal robots. By employing cepstrum distance for automatic endpoint detection of sEMG signals, her 2019 paper has become a foundational reference in the field, accumulating 16 citations. This work is complemented by her development of a hybrid position/force controller for robotic rehabilitation of sitting/lying lower limbs, a 2018 study that demonstrates her commitment to practical, patient-centered solutions. Zhang’s research is particularly notable for its focus on solving real-world problems in assistive technology, aiming to enhance the quality of life for individuals with mobility impairments. Her contributions are steadily gaining recognition, marking her as an emerging voice in the advancement of intelligent, responsive rehabilitation systems.
Research Focus
Key Achievements
Top Papers
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