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By reframing robot inspection planning as a network flow problem, this work achieves a 30-50% reduction in optimality gaps and scales to instances previously intractable for state-of-the-art methods.
Coordinating fleets of autonomous vessels to clean up multiple oil spills can be near-optimized in minutes using a hybrid optimization approach, enabling rapid, risk-aware responses to large-scale disasters.
