Papers

9

Total Citations

258

H-Index

7

About

Kun Bai is a robotics and human-machine interaction researcher whose work spans soft interfaces, advanced manufacturing, and intelligent robotic systems. His early contribution to soft human-machine interfaces (2018, 79 citations) established him as a key voice in the design of flexible sensing and stimulation systems that bridge biological and mechanical domains. This foundational work paved the way for his influential research on programmable "transfer-and-jet" printing for large-scale, 3D curved electronics (2021, 63 citations), offering a breakthrough solution for conformally integrating circuits onto complex surfaces — a growing priority in modern microelectronics. Bai has also made significant strides in robotic manipulation, developing a back-drivable spherical wrist with hybrid motion-impedance control (2021, 39 citations) that mimics the dexterity of the human wrist, and pioneering tactile sensing systems capable of operating in extreme 50 MPa deep-sea environments (2023, 30 citations). His ongoing work on variable stiffness spherical motors and magnetically driven helical robots reflects a sustained commitment to bio-inspired, adaptive mechatronics. With growing contributions to minimally invasive surgical robotics, Bai's research portfolio represents a compelling fusion of precision engineering, biomimicry, and real-world robotic deployment.

Research Focus

Key Achievements

7
H-Index
9
Papers
258
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Soft human–machine interfaces: design, sensing and stimulation
79 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 57
🏛 Institutions: Huazhong University of Science and Technology, Georgia Institute of Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago