XianLin Shi

Guangxi University of Science and Technology

Papers

Total Citations

H-Index

About

XianLin Shi is a dedicated researcher in the field of rehabilitation robotics, with a focused interest in human-robot interaction and assistive technologies. Their most-cited work, "Research on Interactive Force Acquisition and Active-Passive Mode Determination of Rehabilitation Robot" (2023), addresses a critical challenge in robotic therapy: how to seamlessly detect and interpret the forces exchanged between a patient and a rehabilitation device. By developing methods to accurately acquire interactive forces and intelligently switch between active (patient-driven) and passive (robot-driven) modes, Shi’s research enhances the adaptability and safety of rehabilitation robots, enabling more personalized and effective therapy for individuals recovering from motor impairments. Although early in their career, this work has already garnered attention within the robotics community, accumulating 3 citations and laying a foundation for future innovations in sensor-driven control algorithms. Shi’s contributions are particularly valuable for advancing patient-centered robotic systems, where real-time responsiveness is key to improving clinical outcomes. Their ongoing research promises to further bridge the gap between robotic precision and human physiological needs, making rehabilitation more intuitive and efficient.