Yanlin Wang
Papers
10
Total Citations
159
H-Index
9
About
Yanlin Wang is a prominent robotics researcher specializing in cable-driven rehabilitation robotics, with a particular focus on lower limb rehabilitation systems for patients recovering from neurological and musculoskeletal conditions. Wang's body of work centers on the mechanical design, dynamic modeling, stability analysis, and control strategies of cable-driven parallel robots (CDPRs), addressing critical challenges such as human-machine compatibility, multimodal training, and patient safety. Among Wang's most significant contributions is the development and systematic evaluation of cable-driven lower limb rehabilitation robots (CDLRs), including innovative bionic muscle-inspired designs that mitigate the pseudo-drag phenomenon inherent in traditional cable systems. Wang has pioneered comprehensive safety evaluation methodologies for rehabilitation devices—a previously underexplored area—and advanced control strategies enabling adaptive, multi-stage rehabilitation training tailored to individual patient needs. Notable work also includes rigid-flexible hybrid-driven systems and remote collaboration control frameworks, expanding accessibility and versatility in clinical rehabilitation. Wang's research has accumulated over 159 total citations across ten highly focused publications, with top papers each garnering 15–24 citations, reflecting meaningful influence within the rehabilitation engineering community. This work collectively advances safer, more effective robotic rehabilitation solutions for patients with limited mobility.
Research Focus
Key Achievements
Top Papers
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