Luke Murray

Texas A&M University

Papers

1

Total Citations

9

H-Index

1

About

Luke Murray is a researcher in multi-agent systems and robotics, with a focus on pursuit-evasion dynamics and realistic simulation of group behaviors. His most-cited work, "Toward realistic pursuit-evasion using a roadmap-based approach" (2011, 9 citations), introduces a novel graph-based framework that integrates multi-agent simulation with roadmap path planning. This approach enables more realistic modeling of pursuit-evasion scenarios by representing environments as navigable graphs, allowing agents to coordinate and adapt their strategies in complex, dynamic settings. Murray’s contribution bridges the gap between theoretical pursuit-evasion models and practical, real-world applications, such as surveillance, search-and-rescue, and autonomous navigation. His work is notable for its emphasis on scalability and realism, moving beyond idealized assumptions to capture the nuances of group behavior in constrained environments. While his citation count reflects a focused but impactful contribution, Murray’s research has influenced subsequent studies in multi-robot coordination and path planning. His approach remains a valuable reference for researchers seeking to simulate intelligent, adaptive group behaviors in pursuit-evasion contexts.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Toward realistic pursuit-evasion using a roadmap-based approach
9 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Texas A&M University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago