About

Charles Lesire is a leading researcher in autonomous robotics, specializing in multi-robot coordination, probabilistic decision-making, and dependable robotic architectures. His work bridges the gap between high-level mission planning and robust real-time execution, with a focus on uncertain and communication-constrained environments. His most cited paper, "Market Approaches to the Multi-Robot Task Allocation Problem: a Survey" (80 citations), provides a comprehensive taxonomy of auction-based methods for coordinating robot teams. He is also the co-creator of MORSE, a widely-used simulator for complex robotic scenarios (64 citations). Lesire’s contributions to online POMDPs for UAV multi-target detection (30 citations) demonstrate his expertise in probabilistic planning under tight time constraints. His skill-based design framework for dependable architectures (23 citations) and distributed supervision for autonomous missions (22 citations) have advanced the formalization and validation of robotic systems. Notable achievements include his work on hybrid planning and distributed repair for multi-robot missions with communication losses (19 citations), which addresses critical real-world challenges. With over 300 total citations, Lesire’s research continues to shape the field of autonomous robotics, offering practical solutions for resilient, adaptive multi-robot systems.

Research Focus

Key Achievements

13
H-Index
34
Papers
473
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Market Approaches to the Multi-Robot Task Allocation Problem: a Survey
80 citations · 2023
📈 Most Prolific Year: 2014 (4 Papers)
🤝 Key Collaborators: 49
🏛 Institutions: Université Fédérale de Toulouse Midi-Pyrénées, Office National d'Études et de Recherches Aérospatiales, École Nationale de l’Aviation Civile

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago