Papers

1

Total Citations

2

H-Index

1

About

Ming Yi is a researcher focused on intelligent robotics and automation systems, with a particular emphasis on applications in critical infrastructure. Their most cited work, "Research on Simulation of Intelligent Robot System for Substation Inspection" (2021), makes a significant contribution to the field of robotic inspection by proposing a modular design approach for substation inspection robots. This study systematically analyzes three core subsystems—walking, navigation, and inspection—and integrates them into a cohesive intelligent robot design. By breaking down the complex robot system into these modular components, Ming Yi provides a clear framework for developing more reliable and efficient inspection robots, which are essential for maintaining the safety and stability of power substations. While the paper has garnered 2 citations, its practical relevance to the energy sector and robotics engineering is notable. This work underscores Ming Yi's commitment to advancing automation in high-stakes environments, offering a valuable reference for students and researchers interested in the intersection of robotics, simulation, and industrial inspection.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Research on Simulation of Intelligent Robot System for Substation Inspection
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 0
🏛 Institutions: Zhengzhou Railway Vocational & Technical College

Top Papers

  1. 1

Contact & Links

Available for collaboration
Content generated · 17 days ago