Papers

2

Total Citations

161

H-Index

2

About

Changjun Gu is a leading researcher in underwater robotics and nonlinear multi-agent systems, whose work bridges critical gaps in autonomous marine exploration and complex system synchronization. His most influential contribution, the 2021 survey "Underwater robot sensing technology: A survey," has garnered 159 citations, establishing a foundational reference for the field. This comprehensive review systematically addresses how underwater robots overcome challenges like turbidity, pressure, and communication constraints to achieve reliable sensing for deep-sea resource exploration and autonomous manipulation—a key enabler for advancing dive depth and navigation range capabilities. More recently, Gu has pushed into the theoretical frontier of heterogeneous nonlinear switched time-delay multi-agent systems, introducing a monotone decreasing Lyapunov-Krasovskii functional method to synchronize such systems with an uncertain target. This 2025 work, though early in its citation life, demonstrates his ability to solve complex control problems with practical implications for coordinated underwater vehicle operations. Gu’s research uniquely combines applied sensor technology with rigorous mathematical control theory, making his work essential reading for engineers developing next-generation autonomous underwater vehicles and researchers tackling synchronization in uncertain, time-delayed environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
161
Total Citations
81
Avg Citations/Paper
🏆 Most Cited Paper
Underwater robot sensing technology: A survey
159 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Shenyang Institute of Automation, Chongqing University of Posts and Telecommunications

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago