Eli Barnett

University of Maryland, College Park

Papers

1

Total Citations

8

H-Index

1

About

Eli Barnett is a researcher at the intersection of soft robotics, tactile sensing, and mechanical design. His most cited work introduces a novel tactile sensing architecture that uses mechanical spatial filtering to recognize targeted surface features, such as braille patterns, with a low-cost compliant strain sensor. This approach, described as an inverse of mechanical profilometry, demonstrates how stretchable structures can selectively detect features of a specific size, offering a scalable and affordable alternative to traditional tactile sensors. Though his citation count is modest, Barnett’s contributions stand out for their conceptual elegance and practical potential in assistive technology and human-machine interaction. His work bridges fundamental mechanics and applied sensing, paving the way for smarter, more intuitive robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Targeted Feature Recognition Using Mechanical Spatial Filtering with a Low-Cost Compliant Strain Sensor
8 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Maryland, College Park

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago