Wen Zhao

Waseda University

Papers

7

Total Citations

98

H-Index

6

About

Wen Zhao is a robotics and autonomous systems researcher whose work centers on pipeline and underground infrastructure inspection, with a particular focus on mobile robot chain systems and advanced communication technologies. Zhao has made significant contributions to solving one of the field's most persistent challenges: extending the operational range of inspection robots in complex, signal-obstructed environments such as gas pipelines and underground facilities. A defining thread throughout Zhao's research is the innovative application of visible light communication (VLC) as a reliable alternative to radio frequency and infrared-based systems in metallic pipeline environments. Beginning with early work on RSSI-based localization in 2017, Zhao progressively developed coordinated robot chain architectures capable of relay-based image transmission and autonomous navigation, culminating in sophisticated wheeled and tracked systems deployable in real-world infrastructure settings. The 2021 paper on underground facility inspection using VLC and solar panel receivers stands as the most recognized contribution, earning 34 citations and demonstrating practical scalability of the approach. Across seven publications spanning 2017 to 2021, Zhao has accumulated nearly 100 citations, reflecting growing recognition from the robotics and infrastructure monitoring communities. This body of work positions Zhao as an emerging authority on intelligent inspection systems for critical industrial infrastructure.

Research Focus

Key Achievements

6
H-Index
7
Papers
98
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
A Wheeled Robot Chain Control System for Underground Facilities Inspection Using Visible Light Communication and Solar Panel Receivers
34 citations · 2021
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Waseda University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago