Hengming Yuan
Papers
2
Total Citations
16
H-Index
2
About
Hengming Yuan is a robotics researcher focused on advancing the performance of hybrid robots—machines that combine serial and parallel kinematic structures for enhanced precision and versatility. His primary research areas include model-free calibration, dynamic modeling, and simulation of multi-degree-of-freedom robotic systems. Yuan’s major contribution lies in developing efficient, error-model-free calibration methods that significantly improve the pose accuracy of hybrid robots without the complexity of traditional error modeling. His 2022 paper on model-free calibration of a 5-degree-of-freedom hybrid robot has garnered 10 citations, reflecting its practical impact on simplifying calibration processes for industrial applications. Additionally, his work on dynamic modeling and simulation of hybrid robots, with 6 citations, provides critical insights into the unique dynamic behaviors of these systems, aiding both design and real-world deployment. Yuan’s research addresses key challenges in robotics, offering streamlined solutions that enhance accuracy and efficiency. His achievements are particularly notable for bridging the gap between theoretical modeling and practical implementation, making him a valuable contributor to the field of hybrid robotics and precision engineering.
Research Focus
Key Achievements
Top Papers
- 1Efficient Model-Free Calibration of a 5-Degree of Freedom Hybrid Robot10 citations · 2022
- 2Dynamic Modeling and Simulation of a Hybrid Robot6 citations · 2022