Papers

1

Total Citations

7

H-Index

1

About

Zhizhong Zhang is a leading researcher in intelligent inspection robotics, with a primary focus on autonomous navigation and positioning in challenging, GNSS-denied environments. His most-cited work introduces a groundbreaking method for achieving high-precision relative positioning of inspection robots using RFID tag arrays, a critical innovation for ensuring efficient, safe, and automated operations in settings where satellite signals are unavailable. This contribution directly addresses a fundamental bottleneck in industrial and infrastructure inspection, enabling robots to maintain accurate location awareness in complex indoor or obstructed spaces. With his 2024 paper already garnering 7 citations, Zhang’s work is rapidly gaining recognition for its practical impact on the field. By combining radio frequency identification technology with robotic perception, he has developed a robust solution that enhances the reliability of autonomous systems. Zhang’s research is pivotal for advancing the next generation of inspection robots, promising to transform maintenance and monitoring tasks in industries ranging from energy to civil engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Relative Positioning of the Inspection Robot Based on RFID Tag Array in Complex GNSS-Denied Environments
7 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Nanjing University of Information Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago