Xingchen Zhu

Shandong University of Science and Technology

Papers

Total Citations

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About

Dr. Xingchen Zhu is a leading researcher in the field of rehabilitation robotics and human–machine interaction, with a primary focus on the intelligent control of lower limb exoskeletons. Their most cited work, "Design of fuzzy adaptive synovial control system for lower limb exoskeleton" (2021), addresses a critical challenge in assistive technology: ensuring seamless, real-time synchronization between the user’s movement and the robotic device. By integrating fuzzy logic with adaptive synovial control, Dr. Zhu developed a system that minimizes tracking errors, lag, and delay during human–robot interaction—factors that can otherwise compromise user safety and mobility. This contribution is vital for improving the comfort and effectiveness of exoskeletons used in rehabilitation and daily assistance. With 4 citations, this paper has laid important groundwork for more responsive, user-adaptive control strategies. Dr. Zhu’s work is particularly notable for its practical focus on human–computer interaction dynamics, bridging the gap between theoretical control systems and real-world wearable robotics. Their research continues to influence the design of safer, more intuitive assistive devices, making significant strides toward enhancing the quality of life for individuals with mobility impairments.