arXiv (All)
open access
Mission-Level Runtime Assurance for LLM-Assisted ISR Swarms over a Verification-Aware Fabric
Swarms of LLM-assisted autonomous robots are increasingly proposed for cooperative intelligence, surveillance, and reconnaissance (ISR) in contested environments. A growing class of their assurance failures arises not within any single platform but across the swarm: individually-compliant actions co
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Integrating Testing with Runtime Verification for Mission-Critical Distributed Control Systems#185439
- OpenSpace Lab Solution to the IROS 2026 Indoor Exploration Competition#1156777
- The Human Oversight approaches at the forefront of responsible and trustworthy AI, from data-centric adaptive AI-Ops pipelines to Multi-Agent Systems#256690
- Hybrid Hierarchical Runtime Verification for Edge-IoT Security: Combining MonPoly and RTLola#1234192
- Hybrid Hierarchical Runtime Verification for Edge-IoT Security: Combining MonPoly and RTLola#1227256
Record · ID 1326361
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive