Cheng-Run Lan
Papers
2
Total Citations
10
H-Index
2
About
Cheng-Run Lan is a researcher in rehabilitation robotics, with a focused interest in human-robot interaction and assistive technologies for physical therapy. His major contributions center on the development of methods for interactive force acquisition and the intelligent determination of active-passive operational modes in rehabilitation robots. By enabling these systems to accurately sense and respond to patient-applied forces, Lan’s work helps robots seamlessly transition between assisting and resisting movement—a critical capability for personalized, adaptive therapy. His most-cited paper, "Research on interactive force acquisition and active–passive mode determination of rehabilitation robot" (2023), has garnered 7 citations, reflecting its relevance to advancing robot-mediated rehabilitation. This research addresses the challenge of creating safer, more responsive devices that can support patients through varying stages of recovery, from passive mobilization to active resistance training. Lan’s work contributes to the broader goal of making robotic rehabilitation more intuitive and effective, with potential applications in stroke recovery, orthopedic therapy, and neurorehabilitation.
Research Focus
Key Achievements
Top Papers
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