Xue Feng Dai

Papers

Total Citations

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About

Xue Feng Dai specializes in intelligent robotics, with a particular focus on pipeline inspection and warehousing automation. His research addresses critical challenges in robotic control, communication, and path planning within structured environments. Dai’s most cited work, “Hardware Design of a Pipeline Inspection Robot” (2012, 4 citations), presents a comprehensive scheme for wheeled robots navigating complex pipeline networks, integrating control and communication systems to address real-world inspection demands. His second notable paper, “Path Planning Based on Warehousing Intelligent Inspection Robot in Internet of Things” (2011, 3 citations), introduces an innovative approach combining Internet of Things data with vague set multi-objective decision-making. By integrating environmental constraints and path length into a unified fitness function, Dai’s method enables efficient, autonomous navigation for mobile robots in warehousing settings. Though his citation counts are modest, Dai’s work bridges theoretical robotics with practical industrial applications, offering foundational insights for pipeline and warehouse automation. His contributions underscore the growing synergy between IoT and robotic intelligence, providing a valuable framework for students and researchers exploring autonomous systems in constrained environments.