Jianlin Cao

University of Strathclyde

Papers

1

Total Citations

16

H-Index

1

About

Dr. Jianlin Cao is a leading researcher at the intersection of robotics, sensor fusion, and industrial safety, with a primary focus on autonomous navigation in hazardous environments. His most-cited work, "A Framework of Using Customized LIDAR to Localize Robot for Nuclear Reactor Inspections" (2021, 16 citations), addresses a critical challenge in remote inspection: achieving precise positional accuracy for robotic crawlers within high-risk, GPS-denied structures like nuclear reactors. By developing a customized LIDAR-based localization framework, Dr. Cao directly tackles the poor context-awareness that limits the safety and effectiveness of such missions. This contribution is pivotal for advancing non-destructive evaluation, enabling robots to operate with greater autonomy and reliability in environments where human entry is dangerous. His research not only enhances the operational accuracy of industrial robotics but also sets a foundation for safer, more cost-effective nuclear asset management. With a growing citation impact, Dr. Cao’s work is increasingly recognized as essential reading for engineers and researchers developing next-generation inspection systems for critical infrastructure.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
A Framework of Using Customized LIDAR to Localize Robot for Nuclear Reactor Inspections
16 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Strathclyde

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago