Shang-Ya Wu
Papers
1
Total Citations
2
H-Index
1
About
Shang-Ya Wu is a researcher specializing in robotics, computer vision, and human–machine interaction, with a particular focus on the integration of robotic systems with visual perception. Her most-cited work, "Robotic Arm Combined with the Visual Images in a Transparent Object Recognition" (2020), addresses the challenging problem of enabling robots to recognize and manipulate transparent objects—a task that is notoriously difficult due to their reflective and refractive properties. In this study, Wu demonstrates a novel approach using a robot-mounted camera and coordinate transformation within a LabView-integrated robotic arm system, successfully enabling pick-and-place functions for four types of transparent bottles. This contribution has garnered 2 citations and highlights her ability to bridge practical engineering challenges with advanced vision-based robotics. Wu’s research holds significant implications for industrial automation, logistics, and assistive robotics, where reliable object recognition is critical. Her work exemplifies a hands-on, systems-level approach to robotics, making her a promising voice in the field of intelligent robotic manipulation.
Research Focus
Key Achievements
Top Papers
- 1