Zhijian Ji

Qingdao University

Papers

9

Total Citations

308

H-Index

8

About

Zhijian Ji is a researcher whose work spans control theory, multi-agent systems, and autonomous robotics, with particular expertise in bridging theoretical foundations and practical robotic applications. His early foundational contributions include pioneering work on quadratic stabilization of switched systems (2005), establishing constructive methods for designing switching rules under uncertainty—work that has garnered significant scholarly attention. His 2012 investigation into leader selection in multi-agent controllability under consensus algorithms and tree topologies became his most influential contribution, accumulating 117 citations and shaping subsequent research in cooperative control. Ji's work progressively evolved toward real-world robotic challenges. He has made notable contributions to distributed multi-robot formation control using bipartite consensus under communication delays, underwater robot fish detection and formation coordination, and mobile robot obstacle avoidance through multi-sensor fusion. His development of angle-changeable tracked robots with human-robot interaction capabilities demonstrates a commitment to deploying intelligent systems in complex, unstructured environments, including disaster rescue and planetary exploration scenarios. Collectively, Ji's portfolio reflects a researcher who effectively connects abstract control-theoretic principles with tangible engineering solutions, contributing meaningfully to autonomous systems, cooperative robotics, and human-robot collaboration—fields of growing importance in both academic and industrial contexts.

Research Focus

Key Achievements

8
H-Index
9
Papers
308
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Leaders in multi-agent controllability under consensus algorithm and tree topology
117 citations · 2012
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Qingdao University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago