Kang Ji

Liverpool John Moores University

Papers

1

Total Citations

18

H-Index

1

About

Kang Ji is a researcher in multi-robot systems and environmental monitoring, with a focus on developing scalable coordination strategies for autonomous agents. His most-cited work, "A virtual force interaction scheme for multi-robot environment monitoring" (2021, 18 citations), introduces a novel framework that uses virtual force fields to guide robot swarms in efficiently covering and monitoring dynamic environments. This contribution addresses key challenges in distributed robotics—such as collision avoidance and adaptive task allocation—without requiring centralized control. Ji’s approach has been recognized for its simplicity and robustness, offering practical solutions for applications like disaster response and ecological surveillance. His work bridges theoretical models and real-world deployment, earning citations from peers in robotics, control systems, and sensor networks. By advancing the use of bio-inspired interaction rules, Ji has helped lay groundwork for more resilient and autonomous multi-robot teams.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
A virtual force interaction scheme for multi-robot environment monitoring
18 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Liverpool John Moores University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago