Yu‐Jen Cheng

University of Washington

Papers

1

Total Citations

3

H-Index

1

About

Yu-Jen Cheng is a leading researcher in advanced sensing technologies for human–robot collaboration (HRC), with a focus on developing robust, multimodal capacitive sensors that bridge the gap between human dexterity and robotic precision. Their most-cited work introduces a groundbreaking approach using carbon nanotube paper composites to create flexible, high-performance sensors capable of tracking human and robot finger movements in real time. This innovation addresses a critical challenge in HRC—achieving high-precision 3D recognition of fingertip motions—enabling safer, more intuitive interactions in healthcare, manufacturing, and daily life support. With 3 citations already for this recent 2025 paper, Cheng's contributions are gaining rapid recognition for their potential to transform collaborative robotics. Their research stands out for its practical integration of materials science and robotics, offering scalable solutions for tactile sensing in dynamic environments. Cheng's work is poised to influence next-generation human–robot interfaces, making them a rising figure in the field of soft robotics and human–machine interaction.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Robust, Multimodal Capacitive Sensors Using Carbon Nanotube Paper Composites for Human and Robot Finger Tracking in Human–Robot Collaboration
3 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Washington

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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