Fraser MacQuarrie

Carleton University

Papers

8

Total Citations

103

H-Index

6

About

Fraser MacQuarrie is a researcher specializing in distributed algorithms and mobile robotics, with a particular focus on cooperative search, evacuation, and patrolling problems involving autonomous agents. His work sits at the intersection of theoretical computer science and robotics, addressing fundamental questions about how mobile robots can efficiently explore and secure environments under real-world constraints. MacQuarrie's most influential contributions include his work on the evacuation problem, where two robots must locate unknown exits distributed around a circle using wireless communication — a paper that has garnered 24 citations and highlights his interest in collaborative robot coordination under uncertainty. His widely recognized "Beachcombers' Problem" series (21 citations) examines how robots with different operational states, such as walking versus searching, can optimally divide labor during search tasks. His research on fence patrolling with two-speed robots and randomized rendezvous algorithms further demonstrates his commitment to modeling nuanced robot capabilities more realistically than prior work. Collectively, MacQuarrie's publications address core challenges in multi-agent systems — rendezvous, exploration, and coverage — contributing algorithmic frameworks that inform both theoretical understanding and practical robot deployment in search-and-rescue and security applications.

Research Focus

Key Achievements

6
H-Index
8
Papers
103
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Evacuating two robots from multiple unknown exits in a circle
24 citations · 2016
📈 Most Prolific Year: 2016 (3 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Carleton University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago