Tzu-Wei Huang
Papers
2
Total Citations
11
H-Index
2
About
Tzu-Wei Huang is a researcher specializing in intelligent robotic systems, assistive technologies, and autonomous navigation. His work focuses on developing advanced localization and path planning methods for robotic wheelchairs, aiming to enhance mobility and independence for individuals with disabilities. Huang’s major contributions include the integration of wireless local area networks (WLAN) with particle filter algorithms for radio-based robot positioning, as detailed in his most-cited paper, “Intelligent Radio Based Positioning and Fuzzy Based Navigation for Robotic Wheelchair with Wireless Local Area Networks” (2011, 9 citations). This work introduced an intelligent strategy to select informative WLAN signals, improving localization accuracy in indoor environments. Additionally, his research on “The Graphic Feature Node Based Dynamic Path Planning and Fuzzy Based Navigation for Intelligent Wheelchair Robots” (2013, 2 citations) advanced dynamic path planning by leveraging graphic feature nodes, enabling safer and more adaptive navigation. Though his citation counts are modest, Huang’s contributions are notable for their practical applications in assistive robotics, combining fuzzy logic, sensor fusion, and real-time decision-making. His work underscores the potential of intelligent wheelchairs to transform lives, making him a dedicated figure in the field of human-robot interaction and mobility assistance.
Research Focus
Key Achievements
Top Papers
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- 2