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Exploring Behavior Discovery Methods for Heterogeneous Swarms of Limited-Capability Robots
We study the problem of determining the emergent behaviors that are possible given a functionally heterogeneous swarm of robots with limited capabilities.
Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms
We combine our learned similarity metric with novelty search and clustering to explore and categorize the space of possible swarm behaviors.
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