Qiang Teng
Papers
2
Total Citations
14
H-Index
2
About
Qiang Teng is a researcher specializing in precision measurement and performance evaluation of industrial robots. His work focuses on developing robust methods to quantify and improve the pose accuracy and repeatability of robotic systems—critical for high-precision manufacturing and automation. Teng’s major contributions include the proposal of a four-point measurement model that directly evaluates industrial robot pose while reducing calculation errors and measurement uncertainty, a method detailed in his 2017 paper (8 citations). He further advanced the field by addressing the nonlinear challenges in evaluating orientation repeatability, introducing a novel uncertainty evaluation framework in his 2020 work (6 citations). These contributions provide practical tools for engineers to assess and enhance robot performance, directly impacting quality control in automated production lines. Teng’s research is notable for its focus on bridging theoretical measurement models with real-world industrial applications, offering clear methodologies for reducing measurement uncertainty. His work is essential reading for researchers and practitioners in robotics metrology, precision engineering, and manufacturing automation, providing foundational techniques for ensuring reliable and repeatable robotic operations.
Research Focus
Key Achievements
Top Papers
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