Longhui Wu

Tianjin University of Technology and Education

Papers

Total Citations

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About

Longhui Wu is a researcher specializing in robotics and control systems, with a particular focus on magnetic levitation technologies and multi-agent coordination. Wu’s most cited work, “Modeling and Simulation of the Magnetic Method for High Voltage Direct Current Inspection Robot” (2018, 7 citations), addresses a critical challenge in power infrastructure maintenance: the slipping problem of two-arm-wheel inspection robots on high-voltage direct current (HVDC) lines. To solve this, Wu proposed an innovative maglev system integrating both magnetic levitation and magnetic drive components, leveraging the existing magnetic field of HVDC lines to enhance robot stability and mobility. This work demonstrates a practical application of electromagnetic theory to real-world robotics, offering a novel approach to autonomous inspection in hazardous environments. Additionally, Wu’s research on “Research on Method of Multi-agent Formation Control” (2010, 3 citations) explores coordinated control strategies for multi-robot systems, using the AmigoBot platform to validate leader-follower models and feedback control. While citation counts are modest, these contributions reflect foundational work in specialized areas of robotics—combining magnetic actuation with autonomous navigation—that hold promise for advancing inspection robotics and swarm control in industrial settings.