Ssu-Min Hu
Papers
2
Total Citations
9
H-Index
2
About
Ssu-Min Hu’s research focuses on assistive robotics, autonomous navigation, and multi-sensor integration for human-centered environments. His major contributions lie in developing intelligent mobile robotic assistants designed to support elderly individuals in dynamic indoor settings. Hu pioneered fuzzy hybrid navigation systems that combine geometric and topological mapping with multi-sensory data—including laser scanners and RFID—to enable robust self-localization and path planning in cluttered, changing spaces. His 2007 paper on fuzzy hybrid navigation, with 6 citations, demonstrates a novel approach to merging sensor inputs for reliable autonomous movement. In related work, Hu introduced automatic mapping techniques that leverage RFID for initial position estimation and laser scanning for real-time environmental modeling, achieving efficient map generation with minimal computational overhead. Though his citation counts are modest, Hu’s work represents early, practical steps toward deploying service robots in real-world care settings, addressing critical challenges in safe, adaptive navigation. His research bridges robotics, sensor fusion, and human-robot interaction, laying groundwork for assistive technologies that enhance independence and quality of life for aging populations.
Research Focus
Key Achievements
Top Papers
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- 2