Autonomous Inventory and Logistics Using AIoT Swarm Intelligence: A Framework for Next-Generation Industrial Optimization

Swarm Intelligence, coupled with Artificial Intelligence of Things (AIoT), offers a transformative approach to managing dynamic industrial logistics. This paper presents an AIoT-enabled framework for autonomous warehouse operations using distributed robotic swarms. Simulating 1000 rows of operational data across five smart hubs, the study reveals swarm intelligence's potential in enhancing order picking, delivery coordination, and inventory tracking. The model leverages edge AI, cooperative sensing, and decentralized routing to adapt in real time. Results suggest marked improvements in operational efficiency, sustainability, and scalability, positioning swarm-driven logistics as foundational to future autonomous supply chains.

群体智能（Swarm Intelligence）与人工智能物联网（AIoT）相结合，为动态工业物流管理提供了变革性路径。本论文提出了一种基于人工智能物联网的分布式机器人群自主仓库作业框架。该研究针对五个智能枢纽模拟了1000条作业数据，结果证实群体智能在优化订单拣选、配送协同与库存追踪方面具备显著应用潜力。所提出模型依托边缘人工智能（edge AI）、协同感知与去中心化路由技术实现实时自适应。研究结果显示，该方案在作业效率、可持续性与可扩展性方面均实现显著提升，表明群体智能驱动的物流系统有望成为未来自主供应链的核心基础。