Dazheng Zhao
Papers
2
Total Citations
22
H-Index
2
About
Dazheng Zhao is a leading researcher in rehabilitation robotics and human–robot interaction, with a focus on enhancing motor recovery for stroke survivors. Their work centers on developing intelligent control strategies and multimodal feedback systems that improve the efficacy and user experience of robot-assisted therapy. Zhao’s most cited paper, “Fuzzy Adaptive Passive Control Strategy Design for Upper-Limb End-Effector Rehabilitation Robot” (2023, 19 citations), introduces a novel controller that adapts assistance levels in real time, addressing the common problem of excessive force and over-reliance on position tracking—a significant step toward more patient-centered rehabilitation. In parallel, their study on “Effects of Error Modulation-Based Visual and Haptic Feedback Fusion Strategies on Motor Learning and Motivation” (2023, 3 citations) explores how combining visual and haptic cues can boost both skill acquisition and patient engagement. This work is notable for its early investigation into feedback fusion, a promising frontier for personalized therapy. By integrating adaptive control with sensory feedback design, Zhao is helping to shape a new generation of rehabilitation robots that are not only effective but also motivating for patients.
Research Focus
Key Achievements
Top Papers
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- 2