标题： 物联网架构与机器人操作系统平台的创新研究：大语言模型和生成式人工智能的应用 显示英文标题

标题： Innovative Research on IoT Architecture and Robotic Operating Platforms: Applications of Large Language Models and Generative AI

摘要： 本文介绍了一种创新的机器人操作平台设计，该设计基于一种变革性的物联网（IoT）架构，无缝整合了大型语言模型（LLMs）、生成式人工智能、边缘计算和5G网络等前沿技术。 所提出的平台旨在提升物联网系统和机器人的智能化和自主性，使其能够做出实时决策，并动态适应变化的环境。 通过在智能制造、医疗保健和服务行业等多个领域的典型案例研究，本文展示了物联网赋能的机器人在优化运营流程、提高生产效率和提供创新、可扩展解决方案方面的巨大潜力。 通过强调大型语言模型和生成式人工智能的作用，这项研究突显了这些技术如何推动智能机器人和物联网的发展，塑造行业特定的进步未来。 研究结果不仅展示了这些技术的变革力量，还提供了它们更广泛的社会和工业影响的前瞻性视角，将它们定位为下一代自动化和技术融合的催化剂。 显示英文摘要

摘要： This paper introduces an innovative design for robotic operating platforms, underpinned by a transformative Internet of Things (IoT) architecture, seamlessly integrating cutting-edge technologies such as large language models (LLMs), generative AI, edge computing, and 5G networks. The proposed platform aims to elevate the intelligence and autonomy of IoT systems and robotics, enabling them to make real-time decisions and adapt dynamically to changing environments. Through a series of compelling case studies across industries including smart manufacturing, healthcare, and service sectors, this paper demonstrates the substantial potential of IoT-enabled robotics to optimize operational workflows, enhance productivity, and deliver innovative, scalable solutions. By emphasizing the roles of LLMs and generative AI, the research highlights how these technologies drive the evolution of intelligent robotics and IoT, shaping the future of industry-specific advancements. The findings not only showcase the transformative power of these technologies but also offer a forward-looking perspective on their broader societal and industrial implications, positioning them as catalysts for next-generation automation and technological convergence.