Sebastien Boiteau
Papers
2
Total Citations
12
H-Index
2
About
Sébastien Boiteau is an emerging researcher specializing in autonomous unmanned aerial vehicle (UAV) navigation, with a particular focus on operating in challenging, GPS-denied, and visually degraded environments. His work addresses one of the most critical challenges in modern robotics and aerial systems: enabling reliable autonomous decision-making when traditional navigation infrastructure is unavailable or unreliable. Boiteau's most notable contribution, "Autonomous UAV Navigation for Target Detection in Visually Degraded and GPS Denied Environments" (2023), has garnered 10 citations and advances the field of autonomous Search and Rescue (SAR), wildlife monitoring, and planetary exploration applications. His follow-up work in 2024 builds upon this foundation by introducing a comprehensive framework leveraging Partially Observable Markov Decision Processes (POMDPs) to model decision-making under uncertainty in cluttered, GNSS-denied environments. His research sits at the intersection of robotics, artificial intelligence, and aerospace engineering, tackling real-world scenarios where conventional systems fail. Though early in his career, Boiteau's contributions are gaining traction within the UAV and autonomous systems community, establishing him as a promising voice in the development of resilient, intelligent aerial platforms for high-stakes applications.
Research Focus
Key Achievements
Top Papers
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- 2