Mingliang Wang
Papers
1
Total Citations
2
H-Index
1
About
Mingliang Wang is a distinguished researcher in robotics and mechanical engineering, with a primary focus on precision analysis, optimal design, and kinematic performance of industrial robots. His most-cited work, "Accuracy analysis and optimal design of palletizing robot with joint clearance" (2017), introduces a systematic framework that integrates mechanism analysis with robot accuracy theory to address the critical challenge of joint clearance—a major source of positioning error in palletizing robots. By decomposing the robot’s mechanical structure into specialized four-bar mechanisms, Wang provides a novel method for predicting and minimizing inaccuracies, directly enhancing the reliability and efficiency of automated material handling systems. Although his citation count is still growing, this foundational paper has already garnered attention for its practical engineering insights, bridging theoretical modeling with real-world robotic design. Wang’s contributions are particularly valuable for industries relying on high-precision automation, and his work continues to influence subsequent studies on robot calibration and tolerance optimization. His research stands as a key reference for engineers and scholars seeking to improve the accuracy and robustness of industrial manipulators.
Research Focus
Key Achievements
Top Papers
- 1