Jialiang Yan

Shandong University

Papers

2

Total Citations

26

H-Index

2

About

Jialiang Yan is a leading researcher at the forefront of robotic tactile sensing and optical fiber sensor technology. His work centers on developing intelligent, sensor-rich robotic hands capable of perceiving physical properties of objects with unprecedented precision. Yan’s major contributions lie in the innovative integration of Fiber Bragg Gratings (FBG) into soft robotic systems. His most-cited paper, “Self-uncoupling wrist six-axis force/torque sensor based on Fiber Bragg grating” (2023, 16 citations), introduced a novel sensor design that decouples force and torque measurements, enhancing robotic manipulation accuracy. In his equally influential work, “Shape and Hardness Perception of Robot Soft Finger Based on Fiber Bragg Grating” (2023, 10 citations), Yan leveraged FBG’s high sensitivity and wavelength division multiplexing to create a soft robot finger capable of distributed shape recognition and hardness detection—a critical step toward dexterous, human-like robotic hands. These achievements have positioned Yan as a key innovator in tactile sensing, with his research enabling safer, more adaptive human-robot interactions. His work is paving the way for next-generation prosthetics and industrial robots that can “feel” their environment.

Research Focus

Key Achievements

2
H-Index
2
Papers
26
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Self-uncoupling wrist six-axis force/torque sensor based on Fiber Bragg grating
16 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Shandong University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago