Zhili Tang
Papers
1
Total Citations
6
H-Index
1
About
Zhili Tang is a researcher at the intersection of rehabilitation robotics and human sensorimotor neuroscience, with a primary focus on proprioception—the body’s ability to sense its own position and movement. Her most cited work, "Design of Robot-Assisted Task Involving Visuomotor Conflict for Identification of Proprioceptive Acuity" (2021, 6 citations), introduces a novel robotic paradigm that creates controlled visuomotor conflicts to isolate and quantify proprioceptive deficits. This contribution is particularly significant for patients with nerve injuries, where impaired proprioception leads to movement disorders; Tang’s method offers a more precise, objective assessment tool compared to traditional clinical tests. By leveraging robot-assisted tasks, she bridges engineering and clinical rehabilitation, enabling personalized therapy for sensory-motor recovery. Though early in her career, her work addresses a critical gap in how we measure and treat proprioceptive loss, laying groundwork for future robotic interventions in neurorehabilitation. Her research holds promise for advancing both diagnostic accuracy and therapeutic outcomes in movement disorder rehabilitation.
Research Focus
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Top Papers
- 1