Jooyeun Ham

Stanford University

Papers

2

Total Citations

101

H-Index

2

About

Jooyeun Ham is pioneering the development of next-generation tactile sensing systems for soft robotics and prosthetics. Her research centers on flexible, stretchable, and multimodal sensor networks designed to bridge the critical gap between soft robotic dexterity and sensory feedback. Ham’s major contributions include the creation of a porous dielectric elastomer-based multiaxial capacitive tactile sensor, which conforms readily to curved surfaces like prosthetic fingers, enabling lightweight and multimodal touch detection. This work, published in 2022, has garnered 52 citations for its innovative approach to dexterous manipulation. Complementing this, her design of a UV-laser-machined stretchable multi-modal sensor network—cited 49 times—integrates sensing directly into soft robotic hands, allowing for safe, gentle, and responsive human-robot interaction. By addressing the fundamental lack of suitable sensing in soft systems, Ham’s research is advancing the practical deployment of robots and prosthetic hands that can feel and adapt. Her work stands at the forefront of tactile sensing, promising more intuitive and capable machines for real-world interaction.

Research Focus

Key Achievements

2
H-Index
2
Papers
101
Total Citations
51
Avg Citations/Paper
🏆 Most Cited Paper
Porous Dielectric Elastomer Based Flexible Multiaxial Tactile Sensor for Dexterous Robotic or Prosthetic Hands
52 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Stanford University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 22 days ago