M. Poulton
Papers
1
Total Citations
3
H-Index
1
About
Dr. M. Poulton’s research lies at the intersection of multi-robot systems and real-world operational logistics, with a particular focus on market-based task allocation. In their most-cited work, “The Application of Market-based Multi-Robot Task Allocation to Ambulance Dispatch” (2020), Poulton bridges theoretical robotics and emergency response, demonstrating how auction-like mechanisms can optimize the distribution of urgent tasks across a fleet of agents. By adapting Multi-Robot Task Allocation (MRTA) principles—traditionally used to minimize time or energy in robotic teams—to the high-stakes domain of ambulance dispatch, Poulton shows how computational efficiency can directly improve life-saving outcomes. While the paper has garnered 3 citations to date, its conceptual contribution is significant: it reframes emergency services as a distributed optimization problem, inviting further cross-disciplinary work in robotics, operations research, and public safety. Poulton’s work is especially valuable for students and researchers interested in applied multi-agent systems, offering a clear example of how abstract algorithms can be tailored to pressing societal needs.
Research Focus
Key Achievements
Top Papers
- 1