Samuel Morgan

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About

Samuel Morgan is a researcher in swarm robotics and distributed intelligence, with a focus on enabling collective behavior in systems with severe sensing constraints. His most-cited work, "Path formation using a robot swarm with limited sensing capabilities" (2020), introduces a decentralized control mechanism that allows individual robots to form a linear chain between two points they cannot detect simultaneously, even in obstacle-filled environments. This contribution is foundational for applications in exploration, mapping, and infrastructure inspection where global awareness is impossible. Though his citation count is modest, Morgan’s work is notable for its emphasis on minimalism and robustness—key principles for real-world deployment of robot swarms. His research bridges theoretical swarm intelligence and practical engineering, offering scalable solutions for autonomous systems operating under tight perceptual and computational limits. Morgan’s achievements include advancing the understanding of emergent path formation without centralized control, a challenge that continues to influence the design of resilient multi-robot systems. For students and researchers, his work exemplifies how simple local rules can produce complex, useful global behaviors in resource-constrained environments.