Angela Chih-Wei Tang
Papers
1
Total Citations
2
H-Index
1
About
Dr. Angela Chih-Wei Tang is a researcher whose work lies at the intersection of computer vision, robotics, and intelligent systems, with a particular focus on enabling machines to perceive and interact with dynamic environments. Her most cited paper, "Self-Localization and Stream Field Based Partially Observable Moving Object Tracking" (2009), addresses a critical challenge in human-robot interaction: how to robustly track moving objects when the robot itself is uncertain of its own position. By integrating self-localization with a stream field model, Dr. Tang proposed a novel framework for handling partially observable scenarios—a common limitation in real-world tracking. This contribution is foundational for autonomous systems that must operate in cluttered or unpredictable settings. While her citation count is modest, the work demonstrates a deep engagement with the theoretical and practical hurdles of sensor fusion and state estimation. Dr. Tang’s research is particularly valuable for students and engineers working on mobile robotics, surveillance, or assistive technologies, as it bridges the gap between classical tracking algorithms and the messy realities of embodied perception. Her approach emphasizes robustness over idealization, making her a thoughtful contributor to the field.
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Top Papers
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