Papers

2

Total Citations

37

H-Index

2

About

Yiding Gu is a rising researcher in the field of flexible electronics and tactile sensing, with a focus on developing advanced sensors for robotic and human-machine interaction. Their work addresses critical challenges in decoupling complex mechanical stimuli, such as normal and tangential forces, which are essential for next-generation robotic feedback systems. Gu’s most-cited paper, “A New Force‐Decoupling Triaxial Tactile Sensor Based on Elastic Microcones for Accurately Grasping Feedback” (2023, 21 citations), introduces a capacitive triaxial sensor that effectively separates force components, offering a reliable solution for precise grasping. Another notable contribution, “A Flexible Pressure/Bending Bimodal Sensor for Hand Movements Monitoring” (2023, 16 citations), demonstrates a bimodal sensor capable of distinguishing pressure and bending stimuli, enabling real-time hand movement tracking. These innovations highlight Gu’s ability to design multifunctional, flexible devices that push the boundaries of tactile sensing. With a growing citation record and a focus on practical applications in robotics and healthcare, Yiding Gu is establishing themselves as a key contributor to the development of intelligent, responsive sensor systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
37
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
A New Force‐Decoupling Triaxial Tactile Sensor Based on Elastic Microcones for Accurately Grasping Feedback
21 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Electronic Science and Technology of China

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago