Papers
2
Total Citations
6
H-Index
2
About
Min Zuo’s research centers on robotics and automation for critical infrastructure, with a specific focus on navigation systems for substation patrol robots. His major contribution lies in developing visual navigation methods that enable wheeled robots to autonomously inspect equipment and instruments in unattended substations. In his most cited work, “Research on Navigation of Substation Patrol Robot Based on Guideline Visual Recognition” (2010, 4 citations), Zuo introduced a technique where robots capture road information via onboard cameras and recognize a guideline to determine their path. By calculating the deviation between the guideline’s actual and expected positions, the robot can adjust its movement, ensuring reliable navigation in complex substation environments. This work has laid foundational principles for visual-based robotic inspection in the energy sector, enhancing safety and efficiency by reducing the need for human intervention in hazardous settings. Though his citation counts are modest, Zuo’s research represents a practical, application-driven approach to industrial automation, demonstrating how computer vision can be leveraged for real-world patrol tasks. His achievements highlight the potential for robotics to transform routine maintenance operations in power systems.
Research Focus
Key Achievements
Top Papers
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