广告
加载中

你想象的AI Home什么样?WAIC现场,这些企业给出答案

李佳晅 2026-07-18 10:19
李佳晅 2026/07/18 10:19

邦小白快读

EN
全文速览

本次2026世界人工智能大会在上海举办,本次大会的核心亮点是各家企业将原本停留在想象中的AI Home做成了可实地体验的落地场景,带来了不同技术路线的AI家庭方案,核心干货如下:

1. 展示模式升级:和往年不同,本次展会不再用PPT、视频演示,全部采用真机不间断运作展示,观众可以直接进入复刻的家庭场景体验产品稳定性。

2. 主流产品方案:目前已经落地的AI家庭方案分为三类,分别是单机器人搞定全流程家务、多机器人配合完成服务、全屋AI电器联网响应需求,覆盖洗衣、整理、陪伴、健康、教育等多个日常场景。

3. 行业发展现状:目前AI家庭产品还处于发展初期,都是主打单一强功能的垂类产品,还没有出现成熟的通用型全能AI管家,核心待解决问题是不同设备的互联互通。

本次WAIC展会释放了AI Home领域的多个行业信号,能为品牌商的战略布局提供参考,核心内容如下:

1. 营销方向变化:现在用户更看重智能产品的实际体验,品牌展示要从概念演示转向真机场景落地,才能获得用户对产品稳定性、可靠性的信任。

2. 消费趋势观察:现阶段用户对家庭智能的需求集中在家务自动化、养老看护、儿童教育、健康管理等垂类场景,更接受锚定单一强功能的产品,通用型产品的需求还未成熟。

3. 生态合作机会:京东推出的JoyInside已经成为AI连接家庭硬件的去中心化入口,目前已经接入超200家品牌,2026年预计接入超千万台终端,品牌可以接入该生态快速实现产品智能化升级。

4. 核心布局提示:商业落地的关键是开放接口实现互联互通,提前布局开放生态的品牌更易抢占市场。

本次WAIC展会披露了AI Home赛道的发展现状,能为卖家提供机会参考和风险提示,核心内容如下:

1. 市场机会:当前AI Home赛道还处于过渡阶段,主打养老看护、儿童教育、家务清洁等强功能点的垂类产品更符合市场需求,更容易切入获得增长。

2. 技术路线参考:目前行业有三条技术路线,分别是算力集中在机器人本体、算力放在云端,以及新兴的边缘盒子整合分散算力路线,卖家可以结合自身产品选择适配方向。

3. 合作机会:卖家可以接入京东JoyInside开放生态,借助其成熟的智能交互能力和生态入口,实现自家产品和其他家庭设备的协同,降低研发成本。

4. 风险提示:当前行业最大的落地障碍是不同设备、系统的接口不开放,互联互通难,卖家入场前需要提前解决生态对接的相关问题。

AI Home产业的落地发展,给生产制造工厂带来了新的需求和商业机会,核心启示如下:

1. 产品生产设计需求:新一代智能家庭硬件需要适配具身智能、多设备协同的发展方向,生产设计阶段需要预留开放接口,支持不同设备之间的互联互通,满足生态接入要求。

2. 商业机会:AI家庭硬件的市场需求正在快速增长,覆盖家务机器人、智能家居、健康监测设备、教育辅导硬件等多个品类,仅京东JoyInside一家平台2026年就预计接入超千万台终端,市场空间充足。

3. 数字化转型启示:工厂需要紧跟行业智能化趋势,调整研发方向,让产品具备自然语音交互、动态响应用户需求的能力,贴合家庭实际场景的落地需求。

4. 降本路径:工厂可以选择接入成熟的第三方智能生态,不需要独立研发全套智能系统,能有效降低研发和转型成本。

AI Home产业的快速发展,给各类技术服务商带来了新的市场机会,核心参考内容如下:

1. 行业发展趋势:AI Home已经从概念演示阶段进入场景落地阶段,真机落地展示成为行业主流,具身智能是当前行业的核心技术方向,目前已经分化出本体算力、云端算力、边缘盒子整合分散算力三条主流路线,行业还处于向通用AI管家过渡的阶段。

2. 核心客户痛点:当前AI Home商业落地的最大痛点是不同品牌的设备、不同系统之间接口不开放,无法实现真正的互联互通,阻碍了行业规模化发展。

3. 市场机会:当前家庭场景对各类技术解决方案有大量需求,单机器人全流程服务、多机器人协同、全屋智能互联入口等方向都有缺口,针对垂类场景的具身智能解决方案需求尤其旺盛。

4. 技术布局方向:服务商可以重点布局边缘计算整合方案,以及接口互通相关技术,贴合当前行业过渡阶段的核心需求。

AI Home产业的发展对平台提出了新的要求,也给平台布局指明了方向,核心内容如下:

1. 行业核心需求:当前AI Home落地的核心障碍是分散设备、不同品牌之间无法互联互通,行业需要平台搭建统一的生态入口,整合分散的智能设备和算力,解决互联互通的问题。

2. 可参考的成熟模式:京东推出的JoyInside去中心化智能入口模式已经得到市场验证,目前已经吸引超200家品牌合作,验证了生态整合模式的可行性。

3. 招商运营方向:平台招商可以重点引入拥有具身智能核心技术的企业,以及覆盖家务、教育、健康、养老等垂类场景的智能硬件品牌,不断丰富自身生态覆盖的场景,提升生态价值。

4. 风险规避方向:现阶段行业还未发展到成熟的通用AI阶段,平台不要盲目押注通用型全能AI产品,优先布局过渡阶段的生态整合和垂类产品,更符合当前市场的发展现状,能降低试错风险。

本次WAIC展会展现了AI Home产业的最新发展动向,呈现了行业当前的新问题和新模式,核心内容如下:

1. 产业最新动向:AI Home已经从概念研发进入场景落地阶段,本次参展企业全部采用真机场景演示替代传统的PPT视频演示,体现出产业落地速度明显加快;当前行业技术路线分为三类,分别是算力集中在机器人本体的路线、算力放在云端的大模型路线,以及边缘盒子整合分散算力的新兴路线;产业目前处于“集权式”过渡阶段,产品以锚定单一强功能的垂类智能产品为主,通用型全能AI管家还未成熟。

2. 行业核心新问题:不同设备、不同系统之间是否开放接口、能否实现互联互通,是当前AI Home商业落地的本质核心问题,目前尚未得到有效解决,是值得深入研究的方向。

3. 商业模式创新:生态整合型入口成为当前AI Home领域的新商业模式,在过渡阶段,能够连接更多设备、整合更多场景的平台,拥有更高的商业价值。

返回默认

声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

The 2026 World Artificial Intelligence Conference (WAIC) is being held in Shanghai. Its core highlight is that companies have turned the once-conceptual AI Home into tangible, experienceable real-world scenarios, showcasing AI home solutions based on different technical approaches. Key takeaways are as follows:

1. Upgraded exhibition model: Unlike previous years, this conference abandoned PPT and video presentations in favor of 24/7 live demonstrations of functional physical products. Visitors can enter fully replicated home scenarios to test product stability first-hand.

2. Mainstream available solutions: Current commercialized AI home solutions fall into three categories: single robots handling full-process housework, multi-robot collaborative services, and connected whole-home AI appliances that respond to user needs. These solutions cover daily scenarios including laundry, home organization, companionship, health management, and education.

3. Current industry status: The AI home product space is still in its early development stage. Most offerings are vertical products focused on one strong core function, and a mature, general-purpose all-in-one AI butler has not yet emerged. The core unresolved challenge is interoperability between different devices.

This year's WAIC has released multiple key industry signals for the AI Home space, providing strategic references for brand players. Core insights are as follows:

1. Shift in marketing strategy: Users now prioritize real-world experience of smart products. Brands must shift from concept demonstrations to in-scenario physical product displays to build user trust in product stability and reliability.

2. Observed consumer trends: Current consumer demand for home intelligence is concentrated in vertical scenarios including household automation, elderly care, children's education, and health management. Consumers prefer products focused on a single strong core function, while demand for general-purpose all-in-one products has not yet matured.

3. Ecological cooperation opportunities: JD.com's JoyInside has emerged as a decentralized hub connecting AI and home hardware, with more than 200 brands already integrated. It is projected to connect over 10 million terminals by 2026. Brands can access this ecosystem to rapidly upgrade their products' intelligent capabilities.

4. Core layout guidance: The key to commercial success is opening interfaces to enable interoperability. Brands that build open ecosystems early are better positioned to capture market share.

This year's WAIC outlined the current development status of the AI Home track, offering opportunity references and risk warnings for sellers. Core insights are as follows:

1. Market opportunities: The AI Home track is still in a transitional phase. Vertical products built around strong core functions such as elderly care, children's education, and household cleaning align best with current market demand and are easier to launch for growth.

2. Technical approach references: The industry currently has three mainstream technical routes: on-robot local computing, cloud-based computing, and the emerging edge box model that integrates distributed computing power. Sellers can choose the approach that fits their product positioning.

3. Cooperation opportunities: Sellers can integrate into JD.com's open JoyInside ecosystem. Leveraging its mature smart interaction capabilities and ecological entry point, sellers can enable collaboration between their products and other home devices while cutting R&D costs.

4. Risk warnings: The biggest barrier to commercial adoption today is closed interfaces and poor interoperability between different devices and systems. Sellers need to address ecological integration issues in advance before entering the market.

The commercial advancement of the AI Home industry has brought new demand and business opportunities to manufacturing factories. Key takeaways are as follows:

1. Product design and manufacturing requirements: Next-generation smart home hardware needs to align with the development direction of embodied intelligence and multi-device collaboration. Manufacturers must reserve open interfaces during the design phase to enable interoperability across different devices and meet ecological access requirements.

2. Business opportunities: Market demand for AI home hardware is growing rapidly across multiple categories, including household robots, smart home devices, health monitoring hardware, and educational tutoring hardware. JD.com's JoyInside platform alone projects connecting over 10 million terminals in 2026, indicating ample market space.

3. Digital transformation guidance: Factories need to keep up with the industry's intelligent trend and adjust R&D directions to equip products with natural voice interaction and dynamic user demand response capabilities, to meet the requirements of real-world home scenario deployment.

4. Cost reduction paths: Factories can choose to integrate into mature third-party intelligent ecosystems instead of developing full-stack intelligent systems independently, effectively cutting R&D and transformation costs.

The rapid growth of the AI Home industry has opened up new market opportunities for all types of technology service providers. Key insights are as follows:

1. Industry development trends: AI Home has transitioned from the concept demonstration phase to the scenario deployment phase, with live physical product demonstrations becoming the industry standard. Embodied intelligence is the core technical direction of the industry today, and three mainstream routes have emerged: local computing on device, cloud-based computing, and edge box integration of distributed computing power. The industry is still in a transitional phase toward general-purpose AI butlers.

2. Core customer pain points: The biggest pain point for AI Home commercialization today is closed interfaces between devices from different brands and across different systems, which prevents true interoperability and blocks large-scale industry growth.

3. Market opportunities: There is strong unmet demand for various technical solutions in home scenarios, including single-robot full-process services, multi-robot collaboration, and whole-home smart connection hubs. Demand for embodied intelligence solutions tailored for vertical scenarios is particularly strong.

4. Technical layout guidance: Service providers can prioritize layout of edge computing integration solutions and interface interoperability technologies, which align with the core demands of the industry's current transitional phase.

The development of the AI Home industry has put forward new requirements for platforms and clarified layout directions for platform players. Core insights are as follows:

1. Core industry demand: The core barrier to AI Home commercialization today is the lack of interoperability between distributed devices from different brands. The industry needs platforms to build unified ecological hubs that integrate scattered smart devices and computing power to solve the interoperability problem.

2. Proven mature model: JD.com's JoyInside decentralized smart hub model has been validated by the market, with more than 200 brands already onboard, proving the feasibility of the ecological integration model.

3. Recruitment and operation guidance: When onboarding new partners, platforms can prioritize companies with core embodied intelligence technology and smart hardware brands covering vertical scenarios such as housework, education, health, and elderly care, to continuously expand the ecosystem's scenario coverage and boost its overall value.

4. Risk mitigation guidance: The industry has not yet reached the stage of mature general-purpose AI. Platforms should not blindly bet on general-purpose all-in-one AI products. Prioritizing ecological integration and vertical products during the transitional phase better aligns with current market conditions and reduces trial-and-error risk.

This year's WAIC showcased the latest development trends of the AI Home industry, presenting new industry challenges and innovative business models. Core insights are as follows:

1. Latest industry trends: AI Home has transitioned from concept R&D to scenario deployment. All participating companies replaced traditional PPT and video demonstrations with in-scenario physical product displays, reflecting a clear acceleration of industry commercialization. The industry currently has three technical routes: local computing concentrated on the robot body, large-model cloud computing, and the emerging edge box route that integrates distributed computing power. The industry is currently in a "centralized" transitional phase, with most products being vertical smart products focused on one strong core function, while general-purpose all-in-one AI butlers have not yet matured.

2. Core new industry challenge: Whether different devices and systems open their interfaces and achieve interoperability is the fundamental core issue for AI Home commercialization today. This problem has not yet been effectively resolved, making it a valuable direction for in-depth research.

3. Innovative business model: Ecological integration hubs have emerged as a new business model in the AI Home space. In the current transitional phase, platforms that can connect more devices and integrate more scenarios hold greater commercial value.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

【亿邦原创】不同企业正在用不同技术路线展现对未来家庭场景的充分幻想。

7月17日,2026世界人工智能大会在上海世博、张江、西岸三地四馆同步启幕,本届大会以“智能伙伴,共创未来”为主题,吸引了超200家企业携成果参展。与往年不同的是,今年各家企业不再满足于PPT和视频演示,而是直接复刻落地场景,通过现场不间断的真机运作来展示稳定性和可靠性。客厅、洗衣房、卧室、书房……这些曾经只存在于想象中的“AI Home”,正在WAIC现场变成可以走进去、摸得着的现实。

穹彻智能在现场搭建了一间洗衣房,机器人完成衣物取放、洗涤、转运和烘干,试图把原本分散的步骤连成一条完整流程。整套系统可7×24小时自主运行,也能根据不同空间调整部署方式。据悉,穹彻智能的核心产品Noematrix Brain(穹彻具身大脑)已实现跨本体、跨场景的规模化部署,适配轮式单臂、轮式双臂及人形双臂等多种机器人形态。

傅利叶把一间客厅搬到了现场,体验者说一句“我饿了”,人形机器人GR-3就会理解需求、规划路线,再把苹果送来;体验者随手乱放的玩偶,也能根据空间语义重新归位。傅利叶首次带来面向居家陪伴服务的具身智能全链路技术Demo“具身之家”技术解决方案。该方案基于具身大模型与空间语义地图,打通AI大模型与物理世界的壁垒,使机器人真正具备理解环境、理解意图并自主完成长序列任务闭环的能力。当用户说出模糊指令时,GR-3无需接收明确的目标位置或操作步骤,便能自主理解需求、定位目标、规划路径并完成执行。此外,依托傅利叶自主研发的FOCUS集控系统,多台机器人还可在同一空间内协同完成任务,当两台机器人在执行任务过程中相遇时,系统会根据任务优先级完成优先通行与动态避让,如同“管家团队”般默契协作。

千寻智能的Moz1展示了超长程任务规划能力,场景包括客厅收纳、桌面整理、药片分拣和扭蛋机操作。搭载千寻自研Spirit v1.6具身基座模型的Moz1机器人,采用VLA+世界模型融合架构,可基于单条自然语言指令自主完成任务拆解、连续规划和动态调整。在演示中,工作人员下达“快帮我整理客厅”指令后,Moz1先观察环境,再自主移动,走到桌边拿起可乐放进冰箱,把餐桌上的脏碗送入洗碗机。途中一个纸团意外被丢到桌面上,Moz1随即停下原计划,重新感知环境变化、调整任务顺序,处理完临时任务后又继续执行尚未完成的玩偶收纳。

除了机器人,京东集中展示JoyInside“AI Home”和具身智能数据全链路基础设施。在京东展区,JoyInside为家电家居、机器人、健康设备与学习启蒙等硬件终端注入智能交互能力,让分布在家庭不同空间的硬件都能成为AI连接用户、提供服务的入口。即使现场有人交谈、环境嘈杂,设备也可以识别自然口语指令,并根据用户意图完成响应与协同。

书房里,京造AI投影台灯可完成多模态扫题批改、实时答疑和全科辅导;客厅中,搭载JoyInside的凯米斯机器狗精准完成口令动作,智能茶吧机能根据一句“有点口渴”自动调温出水;卧室里,智能睡眠床垫持续记录呼吸、体动等睡眠体征并生成健康报告,AI小夜灯支持语音调节亮度与光效。当学习辅导、亲子陪伴、饮食起居和睡眠健康等日常被连接到同一个家庭空间中,JoyInside成为AI进入物理世界最大的去中心化入口。目前,JoyInside已与超200家行业品牌达成合作,2026年预计接入超千万台终端设备。

一台机器人全搞定、多台机器人打配合、满屋AI电器随时响应,WAIC现场各有各的答案。那终极形态到底会走向哪条路?

京东科技AI创新业务具身智能负责人戴文军在接受亿邦AI采访时给出了他的思考:“目前行业分两种路径,一种是把算力集中在机器人本体,但机器人孤立、无法与周边协同;另一种是把算力放在云端,用足够大的模型来解决复杂场景的快速响应和泛化问题。而眼下还有一个新趋势是边缘计算盒子正在快速发展,未来是否能用一个边缘盒子承载多个设备、把分散算力统一卸载,也是一个重要方向。”

但算力在哪儿并不是核心,关键在于"如何打通"。 不同设备、不同系统之间是否愿意开放接口、能否真正互联互通,这才是商业落地的本质问题。

戴文军认为,如果有一天通用机器人足够成熟,那它本身就是单体的全能管家,不需要依赖任何周边设备。但在那之前,一定会经历一个"集权式"的过渡阶段,谁能连接更多设备、谁能整合更多场景,谁就更有价值。而现阶段进入家庭的机器人,更多是陪伴属性,且往往锚定某个强功能点作为卖点,比如养老看护、儿童教育、家务清洁等,是垂类的、特定的,远未达到通用的程度。

文章来源:亿邦动力

广告
微信
朋友圈

FAQ回顾

AI Home能提供哪些家庭智能服务?

AI Home可覆盖客厅、洗衣房、卧室、书房等全居家场景,支持家务处理、居家陪伴、学习辅导、健康监测、亲子互动等服务,用户只需给出自然语言指令,即可触发机器人及智能家电协同完成相关任务,无需明确具体操作步骤。

当前AI Home落地有哪些主流技术路线?

当前AI Home技术主要分为三类路线:一是将算力集中在机器人本体,单机器人完成特定垂类任务;二是将算力放在云端,通过大模型实现复杂场景快速响应与泛化;三是新兴的边缘计算盒子方案,可统一承载多个设备的算力卸载需求。

具身智能机器人适用于哪些家庭场景需求?

具身智能家庭机器人可支持衣物洗烘全流程操作、物品递送收纳、桌面整理、家务清洁、养老看护、儿童教育等场景需求,可基于自然语言指令自主拆解任务、动态调整执行顺序,多台机器人还可实现协同作业。

京东JoyInside AI Home方案能实现什么效果?

JoyInside可为家电家居、机器人、健康设备、学习启蒙等各类硬件终端注入智能交互能力,让家庭不同空间的硬件都成为AI服务入口,目前已与超200家行业品牌达成合作,2026年预计接入超千万台终端设备。

这么好看,分享一下?

朋友圈 分享

APP内打开

+1
+1
微信好友 朋友圈 新浪微博 QQ空间
关闭
收藏成功
发送
/140 0