Matthew Hartley

King's College London, Foundation for Research and Technology Hellas, Norwich Research Park

Papers

Total Citations

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About

Matthew Hartley is a researcher whose work bridges the frontiers of swarm robotics and cognitive architectures, with a particular focus on how biological principles can inspire artificial systems. His most impactful contribution, the "Kilombo" simulator (2015, 18 citations), addresses a critical bottleneck in swarm robotics: the slow, recalibration-prone nature of physical Kilobots. By providing a high-fidelity, efficient simulation environment, Hartley enabled researchers to rapidly test hypotheses and accelerate development cycles, making Kilombo a foundational tool for the field. Beyond robotics, Hartley has explored the intersection of neuroscience and artificial intelligence. His 2009 paper on a hierarchical attention-based neural network (14 citations) proposes a brain-guided architecture for perception, reasoning, and action, while his earlier work (2006) laid a theoretical basis for cognitive machines. His 2013 study on observational learning (4 citations) further extends these ideas, examining how robots might learn from demonstration. Though his citation counts are modest, Hartley’s contributions are notable for their conceptual depth and practical utility, particularly in enabling scalable swarm research.