Dexin Wang
Papers
5
Total Citations
34
H-Index
4
About
Dexin Wang is a leading researcher in intelligent robotics, with a primary focus on autonomous inspection systems for critical infrastructure. His work centers on the development of flying–walking power transmission line inspection robots (FPTLIRs), addressing the complex challenges of energy efficiency, stability, and precise control in harsh environments. Wang’s major contributions include a multiobjective optimization framework using an improved NSGA-II algorithm to minimize energy consumption during flight missions, a variable universe fuzzy control method for maintaining walking stability under diverse work conditions, and a three-dimensional path-following control system based on an improved line-of-sight approach. He has also advanced perception and manipulation in robotics, proposing a neural radiance fields-based method for 3D reconstruction of power lines from progressive motion sequence images, and developing the Segmentation-Based Grasp Detection Network (SGDN) for unsymmetrical three-finger grippers. With his most-cited paper garnering 14 citations since 2024, Wang’s research is already shaping the next generation of autonomous inspection robots, promising safer, more reliable, and more efficient monitoring of power grids.
Research Focus
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Top Papers
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