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Author

Dimitris Boskos

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Preprint Oct 2026

Local-discrepancy ambiguity sets for distributionally robust optimization

In this paper, we introduce a new class of data-driven ambiguity sets for distributionally robust optimization (DRO) that aim to enhance the local inference accuracy of an unknown distribution. Building on optimal transport-based discrepancy measures, we depart from the conventional paradigm of monolithic ambiguity bal...

Ilias Papagoudis, Dimitris Boskos · 0 citations
Preprint Oct 2026

Distributed Motion Planning for Multi-Robot Systems under Topological Constraints

Efficient and distributed coordination of mobile robots is one of the main challenges in multi-robot systems. Topological constraints, often expressed as topological braids, are a popular tool to encode complex coordination patterns between multiple mobile robots, as they offer a compact and abstract representation of...

Gianpietro Battocletti, Dimitris Boskos, D. Dimarogonas et al. · 0 citations

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