Lingfei Zhou

ETH Zurich

Papers

1

Total Citations

21

H-Index

1

About

Lingfei Zhou is a rising force in the field of robotics and human–machine interaction, with a primary focus on exoskeleton design and human–robot attachment systems. His most-cited work, "Human–Robot Attachment System for Exoskeletons: Design and Performance Analysis" (2023, 21 citations), addresses a critical bottleneck in wearable robotics: ensuring that exoskeletons transmit interaction forces effectively while maintaining precise alignment between anatomical and robotic joint axes. This contribution is foundational for applications ranging from neurorehabilitation and telemanipulation to power augmentation, where user comfort and mechanical efficiency are paramount. Zhou’s research tackles the limitations of existing attachment concepts, offering novel design solutions that enhance both safety and performance. Though early in his career, his work has already attracted attention for its practical impact on exoskeleton usability and clinical translation. By bridging mechanical design with human factors, Zhou is helping to shape the next generation of assistive robots that are not only powerful but also seamlessly integrated with the human body. His growing citation record signals a promising trajectory in human–robot collaboration.

Research Focus

Key Achievements

1
H-Index
1
Papers
21
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Human–Robot Attachment System for Exoskeletons: Design and Performance Analysis
21 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: ETH Zurich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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