Kyle Harrington
Papers
7
Total Citations
94
H-Index
5
About
Kyle Harrington is a researcher whose work sits at the intersection of artificial life, evolutionary robotics, and developmental biology. His primary research areas include the evolution of gene regulatory networks (GRNs), collective behavior in multi-agent systems, and the application of bio-inspired algorithms to robotics. Harrington’s most cited paper, “Gene Regulatory Network Evolution Through Augmenting Topologies” (2015, 38 citations), introduces a method for evolving artificial GRNs to control agents ranging from simulated cells to embodied robot swarms, demonstrating how complex behaviors can emerge from simple genetic rules. In “What’s in an Evolved Name? The Evolution of Modularity via Tag-Based Reference” (2011, 23 citations), he explores how modularity can arise in evolved systems through tag-based communication. His work on active perception and bistability in collective dynamics (2014, 11 and 8 citations) investigates how heterogeneous agents coordinate during morphogenesis, shedding light on temporal regulation in biological and robotic systems. Notably, Harrington also contributed to the development of the flipping stage robotic microscope for 4D surface reconstruction of axolotl embryos (2018, 5 citations), bridging robotics and developmental biology. His research has been cited over 90 times, reflecting its influence on the fields of evolutionary computation, swarm robotics, and bio-inspired design.
Research Focus
Key Achievements
Top Papers
- 1Gene Regulatory Network Evolution Through Augmenting Topologies38 citations · 2015
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- 4Robot coverage control by evolved neuromodulation8 citations · 2013
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- 7Robot phylogenetics1 citations · 2010