家电科技 ›› 2026, Vol. 0 ›› Issue (1): 67-73.doi: 10.19784/j.cnki.issn1672-0172.2026.01.010

• 论文 • 上一篇    下一篇

基于MCP协议的家庭服务机器人跨空间群决策模型研究

王统帅1,3,4, 田云龙1,2,3,4, 顿庆娟1,3,4, 杜永杰1,2,3,4   

  1. 1.青岛海尔科技有限公司 山东青岛 266100;
    2.数字家庭网络国家工程研究中心 山东青岛 266100;
    3.山东省智慧家庭人工智能与自然交互研究重点实验室 山东青岛 266100;
    4.青岛市智慧家庭交互与控制工程研究中心 山东青岛 266100
  • 出版日期:2026-02-01 发布日期:2026-05-07
  • 作者简介:王统帅,硕士学位。研究方向:智能家居领域人工智能、大模型应用和项目管理实践。地址:山东省青岛市崂山区海尔路1号。E-mail:wangtsh@haier.com。

The research on cross-space group decision-making model for household service robots based on MCP protocol

Wang Tongshuai1,3,4, Tian Yunlong1,2,3,4, Dun Qingjuan1,3,4, Du Yongjie1,2,3,4   

  1. 1. Qingdao Haier Technology Co., Ltd. Qingdao 266100;
    2. National Engineering Research Center of Digital Home Networking Qingdao 266100;
    3. Shandong Key Laboratory of Artificial Intelligence and Natural Interaction in Smart Home Qingdao 266100;
    4. Qingdao Engineering Research Center of Smart Home Interaction and Control Qingdao 266100
  • Online:2026-02-01 Published:2026-05-07

摘要: 针对家庭服务机器人与家居智能终端跨空间任务执行中存在的空间-设备群归属模糊、设备功能匹配低效、任务配置僵化等问题,提出基于MCP协议的跨空间群决策模型。该模型以“空间定位-群自动接入-功能匹配-任务配置”为核心链路,依托MCP协议实现实时通信与状态同步,通过空间感知模块动态识别区域并接入设备群,结合设备功能矩阵与任务需求矩阵的量化匹配,实现智能灵活配置。实验结果表明,该模型空间-群匹配准确率达98.5%,任务功能匹配效率较传统固定配置提升4.2倍,在复杂场景任务执行成功率达96.3%。显著提升家庭跨空间设备协同的决策效率与灵活性,可有效满足用户对家庭服务机器人的使用需求。

关键词: 家庭服务机器人, MCP协议, 跨空间决策模型, 设备群组, 任务配置

Abstract: Aiming at the problems of ambiguous space-device group ownership, inefficient device function matching, and rigid task configuration in cross-space task execution between household service robots and smart home terminals, a cross-space group decision-making model based on MCP protocol is proposed. The model takes "space positioning-group automatic access-function matching-task configuration "as the core link, it relies on MCP protocol to achieve real-time communication and state synchronization. The spatial perception module dynamically identifies the area and accesses the device group, and combines the quantitative matching of device function matrix and task demand matrix to achieve intelligent and flexible configuration. Experimental results show that the model's space-group matching accuracy rate reaches 98.5%,the task function matching efficiency is 4.2 times higher than that of traditional fixed configuration, and the task execution success rate in complex scenarios reaches 96.3%,which significantly improves the decision-making efficiency and flexibility of household cross-space device collaborate effectively meeting user requirements for household service robots.

Key words: Domestic Service Robot, MCP protocol, Cross-Spatial Decision Model, Device Group, Task Configuration

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