Papers

3

Total Citations

30

H-Index

3

About

Yihua Wang is a researcher at the forefront of bioinspired robotics and tactile sensing, with a focus on endowing machines with human-like touch capabilities. Their major contributions center on developing advanced tactile fingertips that enable robotic systems to recognize surface textures and perceive both static and dynamic forces—critical for dexterous manipulation and human-robot interaction. Wang’s most-cited work, "Surface Recognition With a Bioinspired Tactile Fingertip" (2023, 17 citations), demonstrates a novel sensor design that mimics human tactile perception, allowing robots to distinguish objects through touch. Complementing this, their research on force perception (9 citations) further refines how robots interpret pressure and motion, bridging the gap between sensing and action. Wang also contributes to control theory, as seen in their work on Lyapunov-based trajectory tracking for wheeled mobile robots (4 citations), showcasing versatility across robotics domains. With a growing citation footprint, Wang’s bioinspired tactile systems hold promise for applications in prosthetics, industrial automation, and assistive robotics, marking them as an emerging innovator in tactile intelligence.

Research Focus

Key Achievements

3
H-Index
3
Papers
30
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Surface Recognition With a Bioinspired Tactile Fingertip
17 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Southeast University, Northwest Institute of Mechanical and Electrical Engineering

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago