Yalin Wen
Papers
1
Total Citations
2
H-Index
1
About
Dr. Yalin Wen is a robotics researcher specializing in the performance evaluation and optimization of mobile robotic systems, with a particular focus on omni-directional platforms. Their most notable contribution is the development of a comprehensive evaluation framework for omni-directional mobile robots, integrating Analytic Hierarchy Process (AHP) with fuzzy comprehensive evaluation (FCE) to systematically assess robot performance under specific working conditions. This work, published in 2019, established a multi-level performance evaluation system that enables more objective and quantitative analysis of robot capabilities, addressing a critical gap in robotics assessment methodologies. While their citation count is currently modest, the methodological framework they introduced provides a valuable tool for researchers and engineers working on mobile robot design and deployment, particularly in environments requiring precise maneuverability. Dr. Wen's research bridges the gap between theoretical performance metrics and practical application requirements, contributing to the broader field of intelligent robotics and automated systems evaluation.
Research Focus
Key Achievements
Top Papers
- 1