Yingxm He

Meijo University

Papers

1

Total Citations

3

H-Index

1

About

Yingxm He is a pioneering researcher in the field of robotics for power infrastructure, with a primary focus on autonomous maintenance systems for electric distribution lines. His most cited work, "The work environment input for a power distribution line maintenance robot" (2007, 3 citations), introduces innovative vision-based methods for mapping work environments around electric poles. He developed two complementary approaches: one that superimposes 3D frame models onto component images through operator input, and another that automates this process for enhanced precision. These contributions address critical challenges in robotic manipulation within complex, unstructured outdoor settings, improving safety and efficiency for line maintenance tasks. While his citation count is modest, his work represents foundational steps toward integrating computer vision with robotic systems for utility maintenance—a niche but vital area for modernizing electrical grids. He’s recognized for advancing practical solutions that bridge human oversight and machine autonomy, offering a template for future research in field robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
The work environment input for a power distribution line maintenance robot
3 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Meijo University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago