Papers
7
Total Citations
32
H-Index
3
About
Xu Jian is a researcher specializing in robotics, computer vision, and intelligent systems for power grid maintenance, with a particular focus on live-working robots designed to perform dangerous electrical substation tasks without human exposure to high-voltage hazards. His most influential work, "Outdoor 3D Reconstruction Method Based on Multi-Line Laser and Binocular Vision" (2020, 16 citations), addresses a critical challenge in substation automation: developing 3D sensing systems capable of functioning in harsh outdoor lighting conditions while accurately capturing weakly textured objects like electrical fittings. This contribution bridges active and passive sensing approaches to enable reliable robotic perception in real-world environments. Beyond 3D reconstruction, Xu has made notable contributions to insulator detection and positioning, LiDAR-based spatial guidance, bolt maintenance automation, and force-sensor-driven end-effector control — collectively forming a comprehensive research program aimed at fully automating substation live-work operations. His 2023 work on a 110kV live-maintaining robot system demonstrates practical deployment of these technologies under complex working conditions. With a growing citation record across interconnected topics, Xu Jian's research is advancing the safety, precision, and autonomy of next-generation power infrastructure maintenance robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Positioning Method of Insulator Sheds Based on Depth Information4 citations · 2020
- 3
- 4
- 5
- 6An Insulator Image Segmentation Method for Live Working Robot Platform2 citations · 2019
- 7