Jason Lu

University of Minnesota

Papers

2

Total Citations

70

H-Index

2

About

Jason Lu is a leading innovator in the field of soft robotics and human-robot interaction, with a focused expertise in developing stretchable, flexible smart skin sensors. His major contributions center on creating tactile sensing systems that allow robots to safely and intuitively perceive physical contact across their surfaces. In his foundational 2015 work, Lu introduced a stretchable smart skin sensor designed for contact-aware robots, enabling safe and collaborative interactions by allowing robots to sense and localize touch. He further advanced this technology in 2018 by validating a continuously stretchable and flexible skin sensor for collaborative applications, utilizing a PDMS skin doped with Carbon Nanotubes and conductive fabric. This design is notable for its scalability and simplicity, requiring only five wires to interface with a microcontroller. With each of these key papers garnering 35 citations, Lu’s work has established a practical pathway for embedding tactile awareness into robotic systems. His achievements are particularly significant for the future of safe human-robot collaboration, where intuitive, skin-like sensing is essential for responsive and trustworthy robotic partners.

Research Focus

Key Achievements

2
H-Index
2
Papers
70
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Practical, stretchable smart skin sensors for contact-aware robots in safe and collaborative interactions
35 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Minnesota

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago