Bo-Yan Hsueh
Papers
2
Total Citations
38
H-Index
2
About
Bo-Yan Hsueh is a researcher in robotics and computer vision, with a focus on autonomous navigation and real-time perception systems. His major contributions lie in developing vision-based methods for mobile robots to simultaneously track targets and avoid obstacles in dynamic indoor environments. Hsueh’s most cited work, "Fuzzy Target Tracking and Obstacle Avoidance of Mobile Robots with a Stereo Vision System" (2009, 31 citations), introduces a fuzzy logic controller integrated with stereo vision to enhance robot decision-making during navigation. A related paper (2009, 7 citations) proposes a practical image processing pipeline—employing averaging filters, edge detection, erosion, dilation, and color segmentation—to enable real-time target tracking and obstacle avoidance using two cameras. These studies demonstrate his ability to bridge theoretical control strategies with efficient, implementable algorithms for embedded systems. Though his citation counts are modest, Hsueh’s work is notable for its early integration of fuzzy logic with stereo vision, a precursor to later advances in autonomous robotics. His research offers valuable insights for students and engineers seeking robust, low-cost solutions for robot navigation in cluttered environments.
Research Focus
Key Achievements
Top Papers
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