Mingshuai Huo
Papers
1
Total Citations
24
H-Index
1
About
Mingshuai Huo is a robotics researcher whose work centers on improving the precision and reliability of industrial robotic systems. His primary research areas include robot kinematics, error modeling, and motion compensation—critical for applications requiring high accuracy, such as machining and assembly. Huo’s major contribution is the development of an equivalent joint motion error model, which provides a general framework for compensating pose errors in robots. This approach simplifies the complex relationship between joint-level inaccuracies and end-effector positioning errors, enabling more effective calibration without exhaustive measurements. His most-cited paper, "A general approach for robot pose error compensation based on an equivalent joint motion error model" (2022), has garnered 24 citations, reflecting its practical value in bridging theoretical modeling with real-world implementation. This work is notable for its adaptability across different robot architectures, offering a scalable solution to a persistent challenge in automation. Huo’s research is particularly relevant for engineers seeking to enhance robot performance in manufacturing settings, and his contributions continue to influence the development of more accurate and reliable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1