Papers

2

Total Citations

31

H-Index

2

About

Yin Bai’s research bridges the frontiers of smart materials and precision robotics, with key contributions in bionic actuators and robotic calibration. In a standout 2022 study, Bai developed a dual-responsive smart actuator using a Ti₃C₂Tₓ/polymer bilayer structure, achieving 19 citations for its innovative application in bionic systems—a promising step toward soft, adaptive robotics. Earlier foundational work from 2005, cited 12 times, advanced robotic calibration by comparing model-based and modeless methods through fuzzy interpolation, enhancing accuracy in position error correction. This research clarified the four-step calibration process—kinematic modeling, position measurement, model identification, and compensation—offering practical insights for industrial robotics. Bai’s work demonstrates a unique ability to integrate materials science with control theory, impacting both emerging soft robotics and established automation fields. With a career spanning from precision engineering to cutting-edge smart materials, Bai’s contributions continue to inspire researchers seeking to merge mechanical intelligence with responsive material design.

Research Focus

Key Achievements

2
H-Index
2
Papers
31
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Dual‐responsive smart actuator based on Ti3C2Tx/polymer bilayer structure for bionic applications
19 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Fujian University of Technology, Johnson C. Smith University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago