Guanglong Du

South China University of Technology

Papers

10

Total Citations

459

H-Index

7

About

Guanglong Du is a robotics researcher whose work sits at the intersection of robot calibration, human-robot interaction, and intelligent control systems. His research has made significant contributions to improving the precision and usability of robotic manipulators, with a particular focus on making robots more accessible through intuitive human interfaces. Du's most influential work centers on online robot calibration, developing novel methods that leverage vision measurement and inertial measurement units (IMUs) combined with probabilistic frameworks such as Kalman filters — contributions that have collectively attracted nearly 300 citations. His 2013 paper on vision-based robot calibration (131 citations) and companion work on hybrid sensor calibration demonstrate a sustained effort to bring accurate, low-cost self-calibration within practical reach. Equally notable is his pioneering research on markerless hand tracking for robot teleoperation using Microsoft Kinect (112 citations), enabling natural, gesture-driven robot control without cumbersome physical markers. This line of work evolved into sophisticated multi-sensor human-manipulator interfaces incorporating Kalman and particle filters, further bridging human intention and robotic execution. Most recently, Du has embraced large language models to drive natural-language-controlled bimanual teleoperation, signaling his continued evolution toward intelligent, operator-friendly robotics. His body of work reflects a coherent vision: making robots smarter, easier to calibrate, and more seamlessly responsive to human guidance.

Research Focus

Key Achievements

7
H-Index
10
Papers
459
Total Citations
46
Avg Citations/Paper
🏆 Most Cited Paper
Online robot calibration based on vision measurement
131 citations · 2013
📈 Most Prolific Year: 2014 (4 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: South China University of Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago