Bo-Yung Wang

National Yunlin University of Science and Technology

Papers

Total Citations

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About

Bo-Yung Wang is a researcher specializing in intelligent robotics, sensor fusion, and autonomous navigation systems. His work focuses on integrating multi-sensor technologies—including laser range finders, electronic compasses, Zigbee modules, and cameras—to enhance robot perception and control in dynamic environments. Wang's most cited paper, "Intelligent Surrounding Recognition for Robot Direction Control" (2020, 7 citations), introduces a novel navigation and monitoring system that enables real-time remote control and status tracking of robots, advancing the field of mobile robotics. His earlier study, "Robot Localization Using Zigbee Nodes" (2019, 2 citations), explores cost-effective localization methods for indoor robotic applications, contributing to the development of scalable positioning solutions. Wang's research bridges hardware integration and algorithmic design, offering practical frameworks for improving robot autonomy and environmental awareness. His contributions are particularly relevant for students and engineers working on sensor-based navigation, IoT-enabled robotics, and intelligent control systems.