AI & Research · arXiv AI · publications

Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing

Source excerpt

This page presents AI and research content to help researchers, students and AI tools read, cite and verify the information.

arXiv:2610.26941v1 Announce Type: new Abstract: Large language models (LLMs) are enabling agents to move beyond predefined workflows toward autonomous planning and execution, creating new opportunities for smart manufacturing. However, dynamic environments, complex physical constraints, and stringent reliability requirements hinder the direct deployment of general-purpose agents in smart manufacturing. This article presents a systematic overview of LLM-driven industrial agents. First, we analyze five key challenges and discuss the concept and core characteristics of industrial agents. We then establish a unified taxonomy covering application scenarios, embodiment forms, and five capability levels. Next, we propose a four-layer system architecture and detail its core modules and operational mechanisms for closed-loop task execution. Finally, we review representative applications across the industrial lifecycle and outline future research directions. This article provides a structured reference for the design, development, and application of industrial agents.

Your DzCademia workshop

Check a publication method or promise

A video or journal-finding tool can shortlist titles, not guarantee acceptance. Check identity, scope, author instructions and possible fees at official sources. Do not choose solely on speed promises or one indicator.

A practical exercise

Compare two journals against your research question: fit, article types, instructions and verified terms. Keep unknowns as questions rather than assumptions.

Record reference points

Topic: Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing
Source website: arxiv.org
Publication date at source: 2026-10-21
Collection date on DzCademia: 2026-10-21

My preparation plan

An indicative personal list, separate from official documents or requirements. Checkmarks stay on this device; no account needed.

Identify the journal and official site.Read the scope and sample papers.Check instructions and possible charges.Reject unsupported publication guarantees.Prepare an original, compliant manuscript.

0 / 5 steps checked

Read the source

DzCademia advice and exercises are separate from the source summary and requirements. This structured aid uses automated assistance and is neither scientific validation nor a selection promise. Source consulted on 2026-10-28.

intelligence artificielle outil chercheur

View the original source

Official or original source: arXiv AI. Always check the details against the primary source.

Back to AI & Research

Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing

Check a publication method or promise

A practical exercise

Comment with Google

Your browsing, your choices