Nicolas Primeau
Papers
2
Total Citations
8
H-Index
2
About
Nicolas Primeau is a researcher specializing in maritime security, robotic sensor networks, and risk-aware autonomous systems. His work focuses on developing intelligent coordination strategies for heterogeneous robotic teams—particularly those integrating unmanned aerial vehicles (UAVs)—to detect and mitigate illicit activities such as maritime smuggling. Primeau’s major contributions include pioneering a risk-aware hybrid robotic sensor network framework that enhances surveillance and response in contested or incomplete-information environments. His 2017 paper on this topic, which has garnered 5 citations, demonstrates how UAV mobility can be leveraged to improve monitoring capabilities beyond traditional static sensors. Additionally, his 2016 study on auction protocol selection for task allocation (3 citations) addresses the critical challenge of efficiently coordinating agents under uncertainty, proposing a two-step process that balances speed, resilience, and optimality. Though early in his citation impact, Primeau’s work is notable for bridging theoretical auction mechanisms with practical, high-stakes applications in maritime law enforcement. His research is particularly relevant for students and engineers interested in multi-agent systems, sensor networks, and security robotics, offering a compelling blend of algorithmic innovation and real-world problem-solving.
Research Focus
Key Achievements
Top Papers
- 1
- 2