Ying Wen Tang
Papers
1
Total Citations
2
H-Index
1
About
Ying Wen Tang is a robotics researcher whose work centers on modular robotic systems, with a particular focus on improving the performance and design of modular joints. Their most-cited paper, "A New Structure Design Method for Improve Modular Joint Output Performance in Modular Robot" (2014, 2 citations), introduces a novel approach to enhancing the output capabilities of modular robots. By redefining design parameters based on an analysis of existing joints, Tang demonstrates how the strategic selection of Brushless DC-Servomotors can significantly increase both output torque and maximum speed. This contribution addresses a critical bottleneck in modular robotics—achieving high performance while maintaining the flexibility and reconfigurability that define the field. Although the citation count is modest, the work reflects a foundational effort to bridge mechanical design and actuation efficiency, offering practical insights for researchers and engineers developing adaptive, high-performance robotic systems. Tang’s research is particularly relevant for students and practitioners interested in the intersection of mechanical design, control, and modularity, providing a clear methodology for optimizing joint performance in scalable robotic architectures.
Research Focus
Key Achievements
Top Papers
- 1