Papers
3
Total Citations
37
H-Index
3
About
Wei Wen’s research bridges human-robot interaction and 3D computer vision, exploring how robots can collaborate more effectively with humans. A central contribution is their investigation of how emotions and social behavior influence performance in collaborative human-robot tasks. In their most-cited work (29 citations), Wen demonstrated that elicited emotions and perceived social behaviors significantly impact players’ performance in a shared serious game, advancing our understanding of affective computing in human-robot teams. This work, along with their earlier PsyIntEC project, established a foundation for empathic cognition in cooperative work. More recently, Wen has pushed into cutting-edge 3D perception with their 2024 paper on Serialized Point Mamba, a novel segmentation model that efficiently handles sparse, unordered point cloud data for robotic navigation and environmental understanding. This work addresses critical challenges in autonomous systems, showing Wen’s versatility from social robotics to computer vision. Their research trajectory—from emotion-aware collaboration to efficient 3D segmentation—demonstrates a commitment to making robots both more perceptive and more socially intelligent, with applications ranging from manufacturing to autonomous navigation.
Research Focus
Key Achievements
Top Papers
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