Geng Lyu

University of Edinburgh

Papers

1

Total Citations

11

H-Index

1

About

Geng Lyu is a pioneering researcher in the emerging field of soft robotics and wearable technology, with a focus on integrating soft sensor systems using conductive textiles. Their most-cited work, "Integrating soft sensor systems using conductive thread" (2018, 11 citations), addresses a critical challenge in human-machine interaction: the mechanical mismatch between rigid electronic components and soft biological tissues. By leveraging mechanically soft materials with MPa-scale modulus, Lyu develops flexible, thread-based sensors that can be seamlessly embedded into fabrics and soft machines. This approach enables more natural, comfortable, and durable interfaces for applications ranging from medical monitoring to assistive robotics. Lyu's contributions are part of a growing community effort to create truly soft, adaptive systems that move beyond traditional rigid electronics. Their work has been cited in studies on smart textiles, soft actuators, and human-robot interaction, reflecting its foundational role in advancing wearable sensing technology. As the field of soft robotics continues to expand, Lyu's research on conductive thread integration stands as a key step toward practical, body-compatible soft machines.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Integrating soft sensor systems using conductive thread
11 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Edinburgh

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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