Papers

3

Total Citations

40

H-Index

3

About

Marjorie Bournat is a leading researcher in distributed computing, with a focus on autonomous mobile robots operating in highly dynamic and unpredictable environments. Her work addresses fundamental challenges in systems where network topology changes arbitrarily—edges appear and disappear without recurrence or stability—a scenario critical for modern ad-hoc and sensor networks. Bournat’s major contributions include establishing the computability of perpetual exploration in dynamic rings, proving that uniform, anonymous robots can achieve coordinated tasks despite extreme uncertainty. She also pioneered the concept of gracefully degrading gathering, where robot swarms maintain functionality even as environmental conditions worsen, and introduced self-stabilizing algorithms that allow systems to recover from arbitrary transient faults without external intervention. Her most-cited paper, “Computability of Perpetual Exploration in Highly Dynamic Rings” (23 citations), is a cornerstone in the field, demonstrating that exploration is possible even under the weakest assumptions. Bournat’s work bridges theoretical computability and practical resilience, earning recognition for advancing the understanding of fault-tolerant, decentralized robotics. Her research continues to inspire new approaches to coordination in unpredictable networks.

Research Focus

Key Achievements

3
H-Index
3
Papers
40
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Computability of Perpetual Exploration in Highly Dynamic Rings
23 citations · 2017
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Sorbonne Université, Centre National de la Recherche Scientifique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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