Xiaopeng Zhao
Papers
18
Total Citations
253
H-Index
7
About
Xiaopeng Zhao is a pioneering researcher at the intersection of rehabilitation robotics, social robotics, and cognitive neuroscience, with a particular focus on improving care and quality of life for individuals living with Alzheimer's disease and related dementias. His work spans brain-computer interfaces, humanoid robot deployment, and AI-driven human-robot communication, making him a distinctive voice in the field of assistive and rehabilitative technology. Zhao's most influential contribution — a 2021 systematic review of robotic rehabilitation for cognitive training (101 citations) — established a comprehensive foundation for understanding how robots can address cognitive deficits at scale. Building on this, he has led groundbreaking studies deploying social robots like Pepper to facilitate reminiscence therapy, assess self-care skills, and develop adaptive conversational strategies for persons with dementia. His research on acceptability and caregiver perceptions underscores a commitment to real-world implementation, not merely technical innovation. Earlier work on brainwave-based neurofeedback systems and brain-machine interfaces further demonstrates the breadth of his expertise, bridging neural signal processing with robotic control. With over 200 cumulative citations, Zhao's scholarship is shaping how technology can compassionately and effectively support aging populations and cognitively vulnerable individuals.
Research Focus
Key Achievements
Top Papers
- 1A Systematic Review of Robotic Rehabilitation for Cognitive Training101 citations · 2021
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- 4Use of a Humanoid Robot in Supporting Dementia Care: A Qualitative Analysis14 citations · 2023
- 5A Real-Time Brainwave Based Neuro-Feedback System for Cognitive Enhancement13 citations · 2015
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- 7Real-Time Brain Machine Interaction via Social Robot Gesture Control9 citations · 2017
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