扫地机器人正从简单清扫工具升级为智能管家。借助AI技术，它们能通过多模态感知和实时决策，自主适应复杂家居环境。如今主流产品已能精准识别拖鞋、电线等障碍物，避免缠绕或污染，实现更高效、个性化的清洁体验。
未来不远公司推出F1机器人，具备22个关节和轮式底盘，能自动执行起床任务，如推床、拉窗帘、热牛奶等，全程无需遥控。它还能扫地、哄娃，续航8小时，通过RVLA模型离线训练动作，遇障碍自动重试，提升家务效率。
Andon Labs评估显示，顶尖大模型扫地机器人执行“递黄油”多步骤任务成功率仅40%，远逊人类。任务涉及跨房间定位、识别包装、寻找移动人类、交付并返回充电等复杂环节，凸显AI在家庭场景的局限性。
Andon Labs研究发现，搭载顶级大模型的扫地机器人执行跨房间递送黄油等复杂家务任务时，成功率远低于人类，突显AI在现实场景中的操作局限。
Alibaba
$0.7
Input tokens/M
$1.95
Output tokens/M
16
Context Length
Google
-
Openai
$7.7
$30.8
200
$2
128
$1
32
Anthropic
$1.75
$8.75
$5.6
$28
$1.05
$4.2
$3.5
$10.5
Tencent
$100
科沃斯推出的扫地机器人控制MCP Server，是全球首个兼容MCP协议的机器人服务，提供设备查询、清扫控制、回充控制和工作状态查询四大核心功能，大幅降低智能体应用开发门槛。
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