Papers

4

Total Citations

82

H-Index

4

About

Pierre-Jean Bouvet is a leading researcher in marine robotics and autonomous underwater systems, whose work bridges the gap between advanced control theory and practical oceanographic applications. His primary research areas include underwater multi-target tracking, robotic swarm formation control, and the development of mobile platforms for deep-sea resource monitoring. Bouvet’s most impactful contribution is his pioneering use of autonomous underwater vehicles (AUVs) and seafloor acoustic receivers to track deep-sea demersal fishery resources, such as lobsters, at depths of 400 meters over three months—a study that has garnered 60 citations and revolutionized non-invasive marine biology. He also designed the Local Charged Particle Swarm Optimization (LCPSO) algorithm, a novel approach for controlling robotic swarms to track dynamic targets under communication constraints, inspired by flocking and particle swarm optimization. This work, published in 2021, has accumulated 15 citations and demonstrates his expertise in solving complex, real-world coordination problems. Bouvet’s research on underwater multi-target tracking with particle filters further showcases his ability to enhance AUV interoperability for industrial and scientific monitoring. His achievements are notable for their direct impact on sustainable fisheries management and autonomous systems, making him a key figure in advancing robotic solutions for marine exploration.

Research Focus

Key Achievements

4
H-Index
4
Papers
82
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Mobile robotic platforms for the acoustic tracking of deep-sea demersal fishery resources
60 citations · 2020
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Institut Supérieur de l'Électronique et du Numérique, Thales (Australia)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago