Skip to content
Log in
Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

S. Roselli

View on Semantic Scholar

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Oct 2026

The Cost of Executability: Temporal Margins for Continuous-Time Multi-Agent Path Finding under Closed-Loop Control

Multi-agent path finding (MAPF) solvers are evaluated on the schedules they produce, not on how well those schedules can be executed. Specifically, continuous-time optimal solvers can achieve even lower cost than their discrete counterparts by scheduling agents with near-zero temporal/spatial separation, and by exploit...

S. Roselli, Alvin Combrink, Ze Zhang · 0 citations
Preprint Oct 2026

The Cost of Classical Multi-Agent Path Finding

Insight is provided on when classical MAPF is a reasonable simplification, and when MAPF$_R$ unlocks significantly higher-quality solutions.

Alvin Combrink, S. Roselli, Martin Fabian · 0 citations
Preprint Aug 2026

AOC-CBS: Anytime-Optimal Continuous-time Conflict-Based Search for Generalised Multi-Agent Path Finding

Anytime-Optimal Continuous-time Conflict-Based Search (AOC-CBS), an exact and solution-complete solver for Multi-Agent Path Finding, and preliminary experiments against the exact solver OC-CBS show AOC-CBS is comparable at finding optimal solutions while extending scalability from the tens to the hundreds of agents whe...

Alvin Combrink, Sabino Francesco Roselli, Martin Fabian · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.