Simon Le Gloannec
Papers
2
Total Citations
14
H-Index
2
About
Simon Le Gloannec is a robotics researcher whose work focuses on autonomous exploration and multi-robot coordination in uncertain environments. His primary research areas include decision-theoretic planning, Markov decision processes (MDPs), and multi-robot systems for environmental monitoring and event search. Le Gloannec’s most significant contribution is a decision-theoretic planning framework for multi-robot exploration and event search, which addresses the challenge of coordinating robots to efficiently gather information about dynamic events in topologically known environments. This work, published in 2015, has garnered 10 citations and provides a principled solution for balancing exploration and communication among robot teams. Earlier, he developed an MDP-based approach for single-robot unknown area exploration (2010, 4 citations), laying foundational work for autonomous navigation in unmapped spaces. His research bridges theoretical planning algorithms with practical robotic applications, offering scalable solutions for search-and-rescue, environmental monitoring, and surveillance. Le Gloannec’s work is particularly valuable for students and researchers interested in probabilistic planning, multi-agent coordination, and real-world deployment of autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2