About

Arnaud Labourel is a computer scientist whose research sits at the intersection of distributed computing, mobile robotics, and algorithmic theory. He is best known for his foundational contributions to the rendezvous problem — the challenge of designing deterministic strategies that allow autonomous mobile agents to locate one another in unknown environments without centralized coordination. His landmark 2012 paper, "How to Meet Asynchronously (Almost) Everywhere," which has garnered over 126 citations, established elegant solutions for asynchronous rendezvous in arbitrary infinite graphs and planar terrains, a result widely regarded as a cornerstone of the field. His 2010 work on infinite multidimensional grids (72 citations) further demonstrated near-optimal strategies under highly constrained asynchronous conditions. Beyond rendezvous, Labourel has investigated terrain exploration, studying worst-case optimal algorithms for robots navigating obstacle-laden environments, and collaborative delivery problems where energy-constrained robots must cooperate efficiently. His 2018 contributions extend these themes to faulty robot scenarios and general graph settings, reflecting a sustained commitment to robustness and generality. Through rigorous algorithmic analysis, Labourel has significantly advanced our understanding of what autonomous, label-based agents can achieve in adversarial and uncertain settings.

Research Focus

Key Achievements

7
H-Index
12
Papers
306
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
How to meet asynchronously (almost) everywhere
126 citations · 2012
📈 Most Prolific Year: 2010 (4 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Université du Québec en Outaouais, Centre National de la Recherche Scientifique, Laboratoire d’Informatique Fondamentale de Marseille, Aix-Marseille Université

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago