Papers

3

Total Citations

70

H-Index

3

About

Yi-Ting Chen is a dynamic researcher whose work bridges robotics, wearable technology, and energy harvesting systems. Her research spans three interconnected domains: robotic autonomous systems, flexible electronics, and human-machine interfaces, making her contributions particularly relevant to the growing fields of healthcare robotics and smart sensing. Chen's most recognized work explores robotic ultrasound scanning, where she developed systems capable of autonomously performing complex medical ultrasound procedures by learning from human demonstrations and guided exploration — a breakthrough that addresses the persistent shortage of skilled sonographers and promises to democratize diagnostic imaging. This work has garnered 30 citations since 2021, reflecting its immediate relevance to clinical robotics. Her contributions to wearable sensing are equally compelling. Her ready-to-wear strain sensing gloves, achieving 20 citations, offer practical solutions for integrating soft sensors into everyday platforms for human motion capture and augmentation. More recently, she has ventured into sustainable energy solutions, designing hybrid triboelectric-electromagnetic nanogenerators for wearable and ambient energy harvesting, also attracting 20 citations. Collectively, Chen's research reflects a sophisticated understanding of how intelligent systems, sensing technologies, and energy solutions can converge to enhance human capabilities and advance autonomous healthcare applications.

Research Focus

Key Achievements

3
H-Index
3
Papers
70
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Learning Robotic Ultrasound Scanning Skills via Human Demonstrations and Guided Explorations
30 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Chinese University of Hong Kong, National Chung Hsing University, University of Windsor

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago