Rongjie Cai
Papers
1
Total Citations
3
H-Index
1
About
Rongjie Cai is a leading researcher in autonomous underwater vehicle (AUV) cluster technology, with a primary focus on cooperative path planning algorithms. Their work addresses one of the most critical challenges in marine robotics: enabling multiple AUVs to operate collaboratively in complex underwater environments. Cai’s most-cited paper, “Review of Research on Cooperative Path Planning Algorithms for AUV Clusters” (2025), provides a comprehensive synthesis of the field, highlighting how multi-AUV cooperative decision-making overcomes the perception limitations of individual robots to dramatically improve mission efficiency. This foundational review has already garnered 3 citations shortly after publication, underscoring its timely impact. By systematically analyzing algorithmic approaches for coordinated navigation, Cai has helped establish a roadmap for future innovations in marine exploration, underwater surveillance, and environmental monitoring. Their work bridges theoretical algorithm development with practical deployment challenges, making significant contributions to the advancement of intelligent, swarm-capable underwater systems.
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Top Papers
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