Young Li

Papers

1

Total Citations

2

H-Index

1

About

Young Li has made significant contributions to the field of robotics, with a primary focus on developing and evaluating autonomous systems for infrastructure inspection. His key research areas include cable tunnel patrol robotics, simulation test environments, and robotic performance assessment. Li's most notable work, "Design and application of simulation test environment for cable tunnel patrol robot" (2022), addresses a critical need in China's expanding underground cable networks by replacing manual inspections with robotic systems that offer higher efficiency and enhanced operational safety. This research is particularly impactful given China's development of multiple tunnel patrol robots, as Li's comprehensive evaluation system provides essential frameworks for assessing their performance and reliability. While his work has garnered 2 citations to date, its practical significance is underscored by the growing demand for automated inspection solutions in hazardous environments. Li's contributions are instrumental in advancing the standardization and deployment of robotic systems for critical infrastructure monitoring, positioning him as a thoughtful researcher in the intersection of robotics engineering and industrial safety applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Design and application of simulation test environment for cable tunnel patrol robot
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago