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Sean C. Kerman is a pioneering researcher in the field of human-swarm interaction, focusing on enabling intuitive and robust control of bio-inspired robot collectives. His work addresses the fundamental challenge of how a single human can effectively influence a decentralized swarm of many autonomous agents without resorting to centralized command. Kerman’s major contributions include developing and validating a bio-inspired model, based on Couzin’s flocking principles, that allows humans to manage a swarm by manipulating key attractors—such as a torus attractor—rather than directing individual robots. His most cited paper, “Human-swarm interactions based on managing attractors” (2014, 40 citations), demonstrates how this approach leverages emergent swarm behaviors for dynamic task assignment. Through simulations and metrics, Kerman has identified the types of interactions afforded by swarming structures, showing that a human can lead a swarm and switch it between collective behaviors using “stakeholders.” His thesis (2013) formalizes these methods and metrics, providing a foundational framework for the field. With over 99 total citations, Kerman’s work is essential for advancing real-world applications of robust, human-influenced robot swarms.