Qiang Hang
Papers
1
Total Citations
56
H-Index
1
About
Qiang Hang is a leading researcher in robotics and intelligent manufacturing, with a primary focus on robot calibration, kinematic modeling, and precision control. His most notable contribution is the development of a novel robot calibration method that integrates joint angle division with artificial neural networks, significantly enhancing positioning accuracy across uneven error distributions in the workspace—a challenge posed by non-geometric factors like joint and link flexibility. This work, published in 2019 and cited 56 times, has become a cornerstone for improving industrial robot performance in complex environments. Hang’s research bridges theoretical modeling and practical application, offering scalable solutions for high-precision automation. His achievements underscore a commitment to advancing robotic reliability, making his work essential reading for students and engineers tackling real-world accuracy limitations in robotics.
Research Focus
Key Achievements
Top Papers
- 1