Sheng-Fan Wen
Papers
1
Total Citations
2
H-Index
1
About
Sheng-Fan Wen is a robotics researcher whose work centers on biomimetic vision systems and humanoid robotic design. His most notable contribution is the development of a highly articulated humanoid eye robot, detailed in his 2011 paper. This system features five degrees of freedom, allowing each eyeball to rotate independently horizontally, with synchronized vertical motion and eyelid movement. By integrating two cameras for target tracking and employing angle control with image registration, Wen’s design achieves a remarkable approximation of human ocular motion. Although his most-cited work has garnered 2 citations, its conceptual innovation in replicating complex biological eye movements for robotic vision remains a foundational reference in the field. Wen’s research bridges mechanical engineering and computer vision, offering a platform for studying human-robot interaction and visual perception. His contributions underscore a commitment to advancing robotic systems that can mimic natural human behaviors, with potential applications in assistive robotics and interactive AI.
Research Focus
Key Achievements
Top Papers
- 1Humanoid eye robot with angle control and image registration2 citations · 2011