mlsanityData to 7 Oct 2026

An Agentic Framework for Rapid Deployment of Edge AI Solutions in Industry 5.0

arXiv 2510.25813 ↗First posted 29 Oct 2025cs.AIcited by 0

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

We present a novel framework for Industry 5.0 that simplifies the deployment of AI models on edge devices in various industrial settings. The design reduces latency and avoids external data transfer by enabling local inference and real-time processing. Our implementation is agent-based, which means that individual agents, whether human, algorithmic, or collaborative, are responsible for well-defined tasks, enabling flexibility and simplifying integration. Moreover, our framework supports modular integration and maintains low resource requirements. Preliminary evaluations concerning the food industry in real scenarios indicate improved deployment time and system adaptability performance. The source code is publicly available at https://github.com/AI-REDGIO-5-0/ci-component.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 8 of its 25 references that are in the map. First posted on arXiv 29 Oct 2025.

Builds on

8 of 25 references.

References · 8

  1. 2020Communication-Efficient Edge AI: Algorithms and Systemscited by 95
  2. 2019Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligencecited by 75
  3. 2023Large Language Models Empowered Autonomous Edge AI for Connected Intelligencecited by 55
  4. 2024Edge AI: A Taxonomy, Systematic Review and Future Directionscited by 21
  5. 2019OpenEI: An Open Framework for Edge Intelligencecited by 12
  6. 2020Knowledge Graphs in Manufacturing and Production: A Systematic Literature Reviewcited by 8
  7. 2023Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Reviewcited by 8
  8. 2024Automated Knowledge Graph Learning in Industrial Processescited by 1

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  2. 2025Adaptive AI Agent Placement and Migration in Edge Intelligence Systems
  3. 2025Adaptive and Resource-efficient Agentic AI Systems for Mobile and Embedded Devices: A Survey
  4. 2026EdgeFM: Efficient Edge Inference for Vision-Language Models
  5. 2025Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agents
  6. 2025Agentic AI for Mobile Network RAN Management and Optimization
  7. 2026Multi-Agentic AI for Fairness-Aware and Accelerated Multi-modal Large Model Inference in Real-world Mobile Edge Networks
  8. 2026A Self-Calibrating Agentic AI Framework for Autonomous Edge Resource Allocation