Yantong Wang

King's College London

Papers

1

Total Citations

4

H-Index

1

About

Yantong Wang is a researcher at the forefront of industrial robotics and next-generation wireless networks, with a focus on enabling reliable, low-latency communication for automated manufacturing. Wang’s most-cited work, "A Minmax Utilization Algorithm for Network Traffic Scheduling of Industrial Robots" (2022, 4 citations), addresses a critical challenge in emerging 5G and beyond wireless industrial virtualized networks: efficiently scheduling the massive, multi-modal traffic generated by robotic manipulators. By proposing a minmax utilization algorithm, Wang provides a novel solution to balance network load and ensure deterministic performance, directly supporting the scalability of industrial automation. This contribution is vital for industries transitioning to Industry 4.0, where real-time coordination of robots over wireless links is essential. Wang’s research bridges the gap between network engineering and robotics, offering practical algorithms that optimize resource allocation while maintaining quality of service. Though early in their career, Wang’s work has already garnered attention for its practical relevance, and their ongoing research promises to further advance the integration of industrial robots into virtualized, software-defined networks.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Minmax Utilization Algorithm for Network Traffic Scheduling of Industrial Robots
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: King's College London

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago