Multi-Agent Planning with Spatio-Temporal and Topological Constraints using STL-GO
arXiv cs.AIen
arXiv:2607.28679v1 Announce Type: new Abstract: Multi-agent planning problems arise in a variety of engineering applications, such as multi-robot wildfire fighting and unmanned aerial inspection in factories. A particular challenge is the existence of spatio-temporal (i.e., when and/or where an agent should do what) and topological constraints (i.e., how agents should interact), as typically formalized via the notion of graphs. Over the last years, various frameworks have been proposed that can capture such constraints via spatio-temporal logics. We focus here on spatio-temporal logic with graph operators (STL-GO), a recent formalism that supports reasoning about multiple agents and their to
This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.
Read the full story at arXiv cs.AI- Verktyg
- Forskning
- Agenter
- Robotik
Related AI news
- xLight bets on EUV light source, eyes ASML dealDIGITIMES · August 3, 2026
- CrowdStrike finds AI systems under direct attack as exploit windows shrinkSiliconANGLE · August 3, 2026
- An Ontology-Guided, Deduplication-Aware Extraction Layer for Knowledge Graph Construction from Heterogeneous DocumentsarXiv cs.AI · August 3, 2026
- EarlyDx: An Admission-Anchored Benchmark for Open-Ended Generation of Evidence-Supported ED-Encounter DiagnosesarXiv cs.AI · August 3, 2026
- LLM Framework for Discovering Major Mathematical Conjectures: AI's Quest for the Next Riemann HypothesisarXiv cs.AI · August 3, 2026
- Library Reachability in LSR-Synth: How Anti-Memorization Design Changes the Measurement of Symbolic DiscoveryarXiv cs.AI · August 3, 2026