Marjorie Bournat
Sorbonne Université, Centre National de la Recherche Scientifique
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
Top Papers
- 1Computability of Perpetual Exploration in Highly Dynamic Rings23 citations · 2017
- 2Gracefully Degrading Gathering in Dynamic Rings12 citations · 2018
- 3Self-stabilizing robots in highly dynamic environments5 citations · 2018