Gongxing Wu

Harbin Engineering University, Shanghai Shipbuilding Technology Research Institute

Papers

Total Citations

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About

Dr. Gongxing Wu is a leading researcher in autonomous marine robotics, with a focus on swarm intelligence and fault diagnosis for unmanned systems. His work bridges two critical frontiers: enabling collaborative decision-making among multiple unmanned surface vessels (USVs) and ensuring the reliability of underwater robots through advanced diagnostic methods. His most cited paper, “Review of multiple unmanned surface vessels collaborative search and hunting based on swarm intelligence” (2022, 49 citations), provides a comprehensive synthesis of bio-inspired algorithms for coordinated search and hunting missions, establishing a foundational framework for multi-USV operations. In parallel, Dr. Wu has made significant contributions to underwater robot reliability, developing recurrent neural network (RNN)-based approaches for thruster and sensor fault diagnosis (2008–2009, 15+ citations each). His work on applying improved RNNs to detect thruster failures and using wavelet transforms for sensor fault isolation has enhanced the operational safety of autonomous underwater vehicles. By integrating swarm intelligence with robust fault-tolerant design, Dr. Wu’s research directly supports the deployment of resilient, cooperative marine robot teams for environmental monitoring, search-and-rescue, and defense applications.