Daniel Davies

University of California San Diego

Papers

1

Total Citations

60

H-Index

1

About

Daniel Davies is a leading researcher in haptic technology and soft robotics, with a focus on creating realistic tactile feedback systems. His most cited work introduces a groundbreaking wireless multimodal haptic glove that uses elastomeric conductive block copolymers to simulate near-surface material properties—specifically hardness, temperature, and texture. This innovation addresses a long-standing challenge in haptics: while bulk material properties are relatively easy to replicate, surface-level sensations have proven far more difficult. Davies’ glove generates virtual textures with unprecedented fidelity, marking a significant leap forward for applications in virtual reality, teleoperation, and assistive technologies. With his 2020 paper garnering 60 citations and growing, his contributions are shaping the future of human-machine interaction. Davies’ work is particularly notable for its integration of materials science and wearable electronics, offering a scalable path toward more immersive and responsive haptic interfaces. His research continues to inspire new directions in tactile feedback, making him a key figure for students and engineers exploring the intersection of soft materials and sensory augmentation.

Research Focus

Key Achievements

1
H-Index
1
Papers
60
Total Citations
60
Avg Citations/Paper
🏆 Most Cited Paper
Virtual Texture Generated Using Elastomeric Conductive Block Copolymer in a Wireless Multimodal Haptic Glove
60 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of California San Diego

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago