Gregory J. Gerling

University of Virginia

Papers

3

Total Citations

71

H-Index

3

About

Gregory J. Gerling is a leading researcher in haptics and tactile biomechanics, whose work bridges engineering and neuroscience to understand how the human fingertip senses touch. His major contributions center on developing computational models and sensor systems that replicate the neural spiking behavior of slowly adapting type 1 (SA-I) mechanoreceptors—key to perceiving fine textures and edges. In his highly cited 2012 study, Gerling created a force sensor embedded in a simulated skin layer that, combined with a neural model, accurately mimicked the SA-I afferent response to ramp-and-hold stimuli, a breakthrough for next-generation prosthetic limbs aiming to restore sensory feedback. His 2010 work further revealed how the precise position of SA-I mechanoreceptors within fingertip skin influences sensitivity to edge stimuli, using solid mechanics to link skin deformation to neural output. With over 70 citations across his top papers, Gerling’s research has profound implications for neuroprosthetics, robotic tactile sensing, and haptic interfaces. He is also recognized for advancing the field through interdisciplinary collaboration, making his work essential for students and researchers exploring the intersection of skin mechanics, neural coding, and artificial touch.

Research Focus

Key Achievements

3
H-Index
3
Papers
71
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Force sensor in simulated skin and neural model mimic tactile SAI afferent spiking response to ramp and hold stimuli
30 citations · 2012
📈 Most Prolific Year: 2010 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Virginia

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago