Shuxia Wang
Papers
1
Total Citations
11
H-Index
1
About
Shuxia Wang is a researcher at the forefront of human-robot interaction and virtual assembly systems, with a focus on enabling intuitive, tangible interfaces for complex manufacturing and design tasks. Her most cited work, "Robot-enabled tangible virtual assembly with coordinated midair object placement" (2022), has garnered 11 citations, showcasing her contribution to bridging the gap between physical and digital worlds. In this study, Wang pioneered a novel approach that allows users to manipulate virtual objects through coordinated, midair placement by robots, effectively merging haptic feedback with augmented reality. This innovation enhances precision and immersion in virtual prototyping, reducing the cognitive load on operators. Wang’s research sits at the intersection of robotics, computer vision, and human-computer interaction, addressing critical challenges in collaborative assembly and spatial reasoning. Her work not only advances academic understanding but also holds practical implications for industries like aerospace and automotive manufacturing, where virtual assembly can streamline design validation. With a growing citation footprint, Wang is establishing herself as a key voice in tangible interaction and robot-assisted virtual environments.
Research Focus
Key Achievements
Top Papers
- 1