Shu Yin Chiang
Papers
1
Total Citations
5
H-Index
1
About
Shu Yin Chiang is a robotics and autonomous systems researcher whose work centers on intelligent mobile robot navigation, sensor integration, and real-time environmental perception. Her most notable contribution lies in the development of path planning and obstacle avoidance systems for omni-directional mobile robots, leveraging the capabilities of the Microsoft Kinect depth sensor to enable autonomous self-localization and dynamic obstacle detection. By fusing sensor signal processing with image analysis techniques, her research addresses one of the fundamental challenges in mobile robotics: enabling machines to navigate complex, real-world environments without human intervention. Published in 2016, her pioneering work in this domain has garnered recognition within the robotics research community, accumulating citations that reflect its relevance to ongoing developments in autonomous navigation. Her research sits at the intersection of computer vision, sensor fusion, and motion planning — fields that are increasingly critical as autonomous robots are deployed in industrial, assistive, and service contexts. For students and researchers exploring mobile robotics, Chiang's work offers a practical and technically grounded framework for integrating off-the-shelf depth-sensing hardware into robust autonomous navigation pipelines.
Research Focus
Key Achievements
Top Papers
- 1