Wei‐Chang Yeh
Papers
2
Total Citations
5
H-Index
2
About
Wei-Chang Yeh is a pioneering researcher in robotic perception and manipulation, with a focus on multimodal sensing for dexterous grasping. His work centers on integrating vision and tactile feedback to enable robots to handle deformable and weak-stiffness objects—a critical challenge in automation. In his 2023 paper "Vision-Tactile Fusion Based Detection of Deformation and Slippage of Deformable Objects During Grasping," Yeh introduced a novel fusion framework that detects subtle deformation and slippage, achieving 3 citations as a foundational contribution to the field. His subsequent work, "RFCT: Multimodal Sensing Enhances Grasping State Detection for Weak-Stiffness Targets," further advanced this area by addressing the limitations of direct visual–tactile fusion, which often fails to extract effective features for grasping state detection. With 2 citations, this paper demonstrates Yeh's ability to identify and solve key bottlenecks in robotic dexterity. By drawing inspiration from human multimodal perception, Yeh's research has significant implications for manufacturing, healthcare, and service robotics, where precise handling of fragile or compliant materials is essential. His contributions are shaping the next generation of adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2