Shenting Zhang
Papers
2
Total Citations
12
H-Index
2
About
Shenting Zhang is a leading researcher in the field of intelligent robotics for the electrical power and energy industry, with a core focus on the design, dynamics, and stability of hybrid inspection robots. Zhang’s major contributions lie in advancing the real-world applicability of power transmission line inspection robots (PTLIRs), particularly by addressing the critical challenge of maintaining stable attitude control in high-altitude, windy environments. Their 2024 work on a novel hybrid inspection robot walking device has garnered 9 citations for its innovative approach to stability performance optimization, a key factor in moving these systems from laboratory prototypes to practical deployment. More recently, Zhang has pioneered the dynamic modeling of flying–walking hybrid inspection robots (HIRs) using the Absolute Nodal Coordinate Formulation (ANCF) method. This 2025 study, which has already earned 3 citations, provides a sophisticated coupled dynamic model to analyze and ensure the safe landing of these robots on inclined and flexible power transmission lines. By tackling the fundamental physics of robot–line interaction, Zhang’s research is instrumental in enhancing the safety and reliability of autonomous grid inspection, marking a significant step toward smarter, more resilient energy infrastructure.
Research Focus
Key Achievements
Top Papers
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