James Harbin

University of York

Papers

2

Total Citations

16

H-Index

2

About

James Harbin is a researcher focused on the engineering and analysis of multi-robot systems, with a particular emphasis on model-driven design and simulation. His work addresses the critical challenge of designing reliable, scalable robot teams for complex missions that exceed the capabilities of a single robot. Harbin’s major contributions lie in developing model-driven frameworks that enable systematic design space exploration for multi-robot systems. By leveraging simulation-based analysis, he provides engineers with tools to evaluate trade-offs in system architecture, coordination strategies, and performance before physical deployment. His most cited paper, “Model-Driven Simulation-Based Analysis for Multi-Robot Systems” (2021, 10 citations), establishes foundational methods for this approach, while his subsequent work (2022, 6 citations) extends these techniques to formal design space exploration. Though his citation counts are currently modest, reflecting an early-career stage, his work is notable for bridging formal modeling with practical simulation—a growing need as multi-robot systems move from research labs to real-world applications in logistics, search-and-rescue, and environmental monitoring. Harbin’s contributions are particularly valuable for students and engineers seeking rigorous, repeatable methods to design and validate complex robotic collectives.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Model-Driven Simulation-Based Analysis for Multi-Robot Systems
10 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of York

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago