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The paradigm of swarm robotics aims to enable several independent robots to collaborate together toward collective goals. The distributed nature of a swarm, whereby each robot acts independently in accordance with its perceived environment, is expected to provide the system with a high degree of flexibility, robustness, and scalability. However, this comes at the cost of increased system complexity. This thesis explores how to automatically design a collective behavior in a way that is transparent and verifiable.

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