Kanzhong Yao

University of Manchester

Papers

4

Total Citations

45

H-Index

3

About

Kanzhong Yao is a leading researcher in robotics for extreme environments, specializing in nuclear decommissioning and underwater exploration. His work centers on developing autonomous multi-robot systems—from symbiotic ecosystems to heterogeneous swarms—that operate safely in hazardous, communication-limited settings. Yao’s major contributions include pioneering a symbiotic autonomous robot ecosystem for nuclear environments (19 citations), which addresses the regulatory need for remote radiation measurement during post-operational cleanout, and a multimodal immersive digital twin platform for cyber-physical robot fleets (18 citations), enhancing situational awareness and reducing human radiation exposure. He has also advanced underwater robotics with image-based visual servoing for leader-follower control of heterogeneous multi-agent systems (6 citations) and swarm exploration using surface robots (2 citations). Notably, Yao’s digital twin framework integrates real-time data with virtual models, enabling safer, more efficient nuclear facility management. His work is foundational to the next generation of resilient, collaborative robots for critical infrastructure inspection and environmental monitoring.

Research Focus

Key Achievements

3
H-Index
4
Papers
45
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Lessons learned: Symbiotic autonomous robot ecosystem for nuclear environments
19 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 43
🏛 Institutions: University of Manchester

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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