Papers

13

Total Citations

247

H-Index

7

About

Fengpei Yuan is a pioneering researcher at the intersection of robotics, artificial intelligence, and dementia care, with a particular focus on leveraging social and rehabilitation robots to support individuals living with Alzheimer's disease and related dementias. Yuan's work spans cognitive rehabilitation, human-robot interaction, and caregiver support, addressing one of healthcare's most pressing challenges with innovative technological solutions. Yuan's most influential contribution, a 2021 systematic review of robotic rehabilitation for cognitive training (101 citations), established a comprehensive foundation for the field, synthesizing emerging approaches to mitigate cognitive deficits through robotics. Building on this, Yuan has developed and evaluated humanoid robot applications — particularly using the Pepper robot — for reminiscence therapy, psycho-educational caregiver programs, and self-care skill assessment, demonstrating measurable improvements in mood, communication, and accessibility of care. Studies examining user acceptability and qualitative experiences further reflect Yuan's commitment to translating technology into real-world clinical settings. More recently, Yuan has expanded into multimodal perception and decision-making frameworks for human-robot interaction, positioning their research at the cutting edge of AI-driven robotics. With over 230 cumulative citations, Yuan's body of work is reshaping how technology can compassionately and effectively support dementia care.

Research Focus

Key Achievements

7
H-Index
13
Papers
247
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
A Systematic Review of Robotic Rehabilitation for Cognitive Training
101 citations · 2021
📈 Most Prolific Year: 2021 (6 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: University of Tennessee at Knoxville, Worcester Polytechnic Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago