agent/papers/items/2026-2606-28011-from-detection-to-action-using-llm-agents-for-fault-tolerant-control.md

Paper: From Detection to Action: Using LLM Agents for Fault-Tolerant Control

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type: paper title: "From Detection to Action: Using LLM Agents for Fault-Tolerant Control" authors: Javal Vyas, Milapji Singh Gill, Artan Markaj, Felix Gehlhoff, Mehmet Mercangöz year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.28011 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-26 updated_at: 2026-06-26 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• multi-agent
• planning
• rag
• tool-use
• workflow-agent
• world-model methods:

benchmarks:

models:

datasets:

• eess.SY
• cs.LG related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 24 collection_queries: agentic-ai, llm-agent, multi-agent-llm, planning-agent, rag-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: agentic-ai, llm-agent, multi-agent-llm, planning-agent, rag-agent
• inferred topics: agent-evaluation, agent-safety, multi-agent, planning, rag, tool-use, workflow-agent, world-model
• arXiv categories: eess.SY, cs.LG
• collection score: 24

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.28011