Jui‐Cheng Hsu
Papers
4
Total Citations
99
H-Index
4
About
Jui-Cheng Hsu is a researcher whose work centers on autonomous mobile robotics, with a particular focus on localization, pose tracking, and adaptive filtering techniques. His most significant contributions lie in developing intelligent sensing and estimation frameworks that enable mobile robots to accurately determine their position and orientation in real-world environments. Hsu is perhaps best known for his pioneering work on fuzzy adaptive extended information filtering (FAEIF), a novel approach that addresses divergence problems inherent in traditional extended information filters by incorporating a fuzzy tuner to handle noise variations dynamically. His 2008 paper on ultrasonic localization and pose tracking of autonomous mobile robots stands as his most influential work, accumulating 59 citations, and builds upon earlier foundational research from 2004 that garnered an additional 25 citations. Across his body of work, Hsu has explored multiple sensing modalities, including ultrasonic systems and laser scanners equipped with retro-reflectors, demonstrating versatility in his engineering approaches. His three-point triangulation method for laser-based posture estimation further illustrates his commitment to practical, implementable solutions. Collectively, his research has made meaningful contributions to the field of robot navigation and autonomous systems engineering.
Research Focus
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Top Papers
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