Zinan Cen

University of Toronto

Papers

2

Total Citations

8

H-Index

2

About

Zinan Cen is a pioneering researcher at the intersection of socially assistive robotics and wearable sensing technologies, with a focused mission to enhance the quality of life for individuals with cognitive impairments. His primary research areas include human-robot interaction, intelligent assistive systems, and personalized healthcare technologies. Cen’s major contribution lies in developing the first-of-its-kind socially assistive robot-wearable sensors system designed specifically for intelligent user dressing assistance—a critical yet underexplored activity of daily living. His 2022 paper on this system, which has garnered 6 citations, and its 2023 follow-up with 2 citations, establish a foundational framework for how robots can socially interact with users while leveraging wearable sensors to provide real-time, personalized support. By integrating social cues with sensor-driven feedback, Cen’s work addresses the unique challenges faced by those with cognitive impairments, offering a compassionate and adaptive solution that goes beyond simple task automation. His innovative approach not only advances assistive robotics but also opens new avenues for dignified, independent living, marking him as a rising leader in human-centered robotic assistance.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Socially Assistive Robotics and Wearable Sensors for Intelligent User Dressing Assistance
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Toronto

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago