Yu-Kuen Tasi

Papers

Total Citations

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About

Dr. Yu-Kuen Tasi is a robotics researcher specializing in visual localization and sensor fusion for autonomous mobile robots. His work addresses the critical challenge of enabling robots to accurately determine their position in real-world environments by integrating data from multiple sensors. In his most cited paper, "Visual Localization for Mobile Robots Based on Composite Map" (2013, 8 citations), Tasi introduced a novel two-stage approach that combines laser range finder depth data with camera imagery to construct a composite map, significantly improving localization robustness over single-sensor methods. This contribution bridges the gap between laser-based mapping and vision-based navigation, offering a practical solution for indoor mobile robots. While his citation count reflects focused early-career impact, Tasi's work on composite mapping has informed subsequent research in sensor fusion and autonomous navigation. His approach demonstrates the value of combining complementary sensing modalities—a principle now widely adopted in robotics. For students and researchers exploring visual localization or multi-sensor integration, Tasi's method provides a clear, implementable framework for achieving reliable robot positioning in complex environments.