Papers

3

Total Citations

40

H-Index

3

About

Travis Bartley is a robotics researcher whose work centers on advancing tactile sensing for human-robot interaction. His primary contributions lie in developing sensor network systems that allow robots to perceive touch with high sensitivity and accuracy. Bartley’s most influential paper, “A Tactile Sensor Network System Using a Multiple Sensor Platform with a Dedicated CMOS-LSI for Robot Applications” (2017, 24 citations), proposes a scalable architecture for covering a robot’s body with numerous capacitive sensors, enabling safer and more reliable communication with humans. He further refined this approach in related works on dedicated CMOS-LSI platforms for social robot applications (2016, 12 citations) and multiple sensor systems (2016, 4 citations). By integrating custom integrated circuits with tactile sensor arrays, Bartley addresses a critical challenge in robotics: equipping machines with a sense of touch comparable to human skin. His research has direct implications for collaborative robots, prosthetics, and autonomous systems that must operate safely alongside people. Bartley’s work represents a foundational step toward truly interactive robots that can perceive and respond to physical contact.

Research Focus

Key Achievements

3
H-Index
3
Papers
40
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
A Tactile Sensor Network System Using a Multiple Sensor Platform with a Dedicated CMOS-LSI for Robot Applications
24 citations · 2017
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Tohoku University, Toyota Motor Corporation (Switzerland), Tohoku University Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago