Matthew Cochrane

NTT (Japan)

Papers

1

Total Citations

4

H-Index

1

About

Matthew Cochrane’s research lies at the critical intersection of wireless communication and autonomous mobility, focusing on ensuring reliable network connectivity for self-driving cars, transportation robots, and automated construction machines. His most-cited work, “Experimental Validation of Link Quality Prediction Using Exact Self-Status of Mobility Robots in Wireless LAN Systems” (2020, 4 citations), provides foundational experimental evidence for predicting wireless link quality by leveraging the precise self-status of mobile robots. This contribution is vital for enabling robust, real-time management and remote operation of autonomous systems in dynamic environments. Cochrane’s approach addresses a key challenge in the field: maintaining stable wireless links as machines move, which is essential for safety and efficiency in applications like automated logistics and smart infrastructure. His work has been recognized for its practical validation, bridging theory and real-world deployment. By advancing link quality prediction, Cochrane helps pave the way for more dependable networked autonomous systems, making him a notable contributor to the future of wireless-enabled mobility.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Experimental Validation of Link Quality Prediction Using Exact Self-Status of Mobility Robots in Wireless LAN Systems
4 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: NTT (Japan)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago