Papers

13

Total Citations

183

H-Index

7

About

Donghui Zhao is a leading researcher in assistive robotics, specializing in elderly care, human-robot interaction, and rehabilitation technologies. His work addresses the global aging crisis by developing intelligent robotic systems that enhance safety and quality of life for elderly and mobility-impaired individuals. Zhao’s major contributions include novel non-contact abnormal gait recognition using extended set membership filters (29 citations), improved path planning algorithms for home service robot arms (25 citations), and motion-intention recognition for gait rehabilitation training robots (18 citations). His research on elderly-care robots and safe human-robot interaction methods (65 citations) is particularly influential, providing foundational insights for the field. Zhao has also pioneered multi-heterogeneous robot systems for task allocation in elderly care (11 citations) and developed a multifunctional intelligent bed integrating multimodal interaction and safe nursing methods (7 citations). His work on quantitative estimation of mental fatigue during robot-assisted transfers (7 citations) and collaborative swarm robotics paradigms further demonstrates his breadth. With over 175 total citations across his top papers, Zhao’s research is shaping the future of assistive robotics, making him a key figure in developing practical, safe, and effective robotic solutions for aging populations.

Research Focus

Key Achievements

7
H-Index
13
Papers
183
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Research status of elderly-care robots and safe human-robot interaction methods
65 citations · 2023
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Shenyang University of Technology, Southern University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago