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绳驱AI机器人“一哥”完成股改

亿邦动力 2026-07-08 16:32
亿邦动力 2026/07/08 16:32

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总:本文核心披露了全球首个绳驱AI机器人量产企业星尘智能完成股改的消息,同时梳理了当前具身智能赛道的最新发展动向,核心干货如下

1. 行业整体动向:2025年以来,国内具身智能赛道玩家集体开启IPO征程,宇树、乐聚等多家头部玩家加速A股港股IPO进程,十余家企业已经完成股改,赛道正式进入商业化爆发的前期阶段。

2. 星尘智能核心情况:星尘智能2022年12月成立,目前是全球唯一实现绳驱AI机器人量产的企业,产能达到万台级,已经攻克供应链整合、工艺稳定性、成本控制等多类难题,技术端实现全栈自研,在科研、商业服务、文娱、工业等多领域完成规模化落地,成立至今完成8轮融资,最新B轮融资后投后估值突破百亿元,获得多家头部投资机构加持。

总:本文披露的具身智能赛道最新动向,能够给品牌商提供消费趋势参考与业务升级方向,干货内容如下

1. 消费与产业趋势:当前具身智能已经从技术概念走向量产落地,赛道资本热度高、玩家集体冲刺IPO,智能化交互体验已经成为新的消费需求方向,品牌商可提前布局相关智能化升级,抢占用户心智。

2. 场景落地参考:星尘智能的绳驱AI机器人兼具高交互安全性与拟人表现力,已经在文娱演出、商业服务领域规模化落地,品牌商可以探索引入这类智能机器人,打造差异化的线下交互、品牌营销场景,打造全新的品牌体验,契合当下消费者对智能化体验的需求。

3. 合作机会:头部机器人企业已经开放多领域合作,品牌商可以结合自身业务需求,对接相关企业探索联名、场景落地等合作模式。

总:本文披露的信息给卖家挖掘具身智能赛道的新机会提供了参考,干货内容整理如下

1. 赛道机会判断:当前具身智能赛道已经从研发阶段进入量产落地阶段,资本高度看好,多家头部企业冲刺IPO,属于高增长的新赛道,增量空间极大,卖家可以切入相关赛道寻找新增长。

2. 可挖掘的业务方向:绳驱AI机器人已经在科研、商业服务、文娱演出、工业四大领域实现规模化落地,卖家可以探索机器人代理销售、场景落地配套服务、零部件分销等业务,依托新赛道获得增量。

3. 风险提示:该赛道技术壁垒较高,头部玩家已经完成技术、产能与资本布局,新进入的卖家不要盲目切入整机赛道,应当找准细分配套场景切入,降低自身经营风险。

总:本文披露的信息给制造工厂带来了新的商业机会与数字化转型启示,干货内容整理如下

1. 直接商业机会:目前星尘智能的绳驱AI机器人已经实现万台级量产,稳定量产需要上游零部件供应商、配套工艺服务商的支持,有相关制造能力的工厂可以对接获得配套合作的机会,切入高增长的机器人赛道。

2. 生产端经验参考:星尘智能在量产过程中,攻克了供应链整合、工艺稳定性控制和成本控制三大难题,这些经验给想要推进智能化产品生产的工厂提供了参考,工厂可以借鉴相关经验优化自身生产管理体系。

3. 转型启示:当前具身智能赛道处于爆发前期,传统制造工厂可以依托自身的制造能力优势,切入机器人零部件、本体加工领域,推进自身的数字化与智能化转型,开拓新的增长曲线。

总:本文披露的具身智能赛道最新动向,给相关服务商指明了新的业务方向,干货整理如下

1. 行业发展趋势:2025年具身智能赛道进入加速发展期,大量头部企业完成股改冲刺IPO,头部企业已经实现万台级量产,整个赛道对配套服务的需求快速增长,服务商可以提前布局该赛道的业务,抢占新的客户增量。

2. 客户核心痛点:当前机器人企业在量产阶段,核心痛点是供应链整合、工艺稳定性提升、成本控制,服务商可以围绕这些痛点开发针对性的解决方案,比如供应链整合服务、生产工艺咨询、降本咨询等业务,契合客户需求。

3. 新业务机会:绳驱AI机器人已经在多个终端场景实现规模化落地,落地后需要场景改造、后期运维等配套服务,服务商可以切入这些细分服务领域,拓展自身的客户群体。

总:本文披露的信息给硬科技、智能制造领域的平台商提供了运营与招商方向参考,干货整理如下

1. 赛道需求梳理:当前具身智能赛道进入量产和IPO阶段,大量优质机器人企业有投融资对接、产业配套对接、产能拓展对接的需求,平台商可以针对性开发相关服务产品,满足赛道企业的需求,吸引企业入驻。

2. 招商方向参考:星尘智能作为完成量产、估值超百亿的头部具身智能企业,是非常优质的标杆项目,平台商可以围绕具身智能赛道打造专属产业园区、招商专区,吸引赛道玩家聚集,打造差异化的平台竞争力。

3. 风险规避提示:该赛道技术壁垒较高,平台在引入项目的时候,需要优先筛选拥有核心自研技术、已经实现量产落地的企业,规避引入技术不成熟没有商业化能力的项目,降低平台运营风险。

总:本文披露的最新产业信息,给具身智能领域的研究者提供了新的研究素材,核心干货整理如下

1. 产业新动向:2025年国内具身智能赛道已经完成从实验室研发到商业化量产的过渡,多家头部企业集体完成股改冲刺IPO,标志着赛道正式进入商业化发展的新阶段,这个动向是研究全球具身智能产业发展的重要样本。

2. 商业模式新样本:星尘智能走全栈自研路线,构建AI模型—具身OS—绳驱本体三位一体的自研体系,实现了全球首个绳驱AI机器人量产,这种全栈自研模式为研究赛道商业模式创新提供了全新的案例。

3. 资本动向参考:当前赛道获得财务投资机构、国资、产业资本的集体认可,头部成立不到三年的企业投后估值就突破百亿,反映了资本对赛道的高认可度,为研究硬科技领域资本流向提供了最新的案例参考。

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Quick Summary

This article primarily announces that Stardust Intelligence, the world's first mass-producer of rope-driven AI robots, has completed its shareholding restructuring. It also sorts out the latest developments in the current embodied intelligence track. Key takeaways are as follows:

1. Overall industry trends: Since 2025, domestic players in the embodied intelligence track have collectively launched IPO plans. Leading companies including Unitree and Leju have accelerated their IPO processes on the A-share and Hong Kong stock markets, with more than ten companies already completing shareholding restructuring. The track has officially entered the pre-stage of commercial explosion.

2. Core profile of Stardust Intelligence: Founded in December 2022, Stardust Intelligence is currently the only company in the world that has achieved mass production of rope-driven AI robots, with an annual production capacity of 10,000 units. It has overcome multiple challenges including supply chain integration, process stability and cost control, achieved full-stack in-house R&D, and completed large-scale deployments across scientific research, commercial services, entertainment, industrial and other sectors. Since its founding, it has completed 8 rounds of financing, with a post-money valuation exceeding 10 billion yuan after its latest Series B round, backed by multiple top-tier investment institutions.

This article's update on the latest trends in the embodied intelligence track provides consumer trend insights and business upgrading directions for brands. Key takeaways are as follows:

1. Consumer and industry trends: Embodied intelligence has evolved from a technical concept to mass-produced commercial deployment, with strong capital interest and leading players collectively pushing for IPOs. Intelligent interactive experience has become a new consumer demand, so brands can lay out relevant intelligent upgrades in advance to capture consumer mindshare.

2. Scenario deployment reference: Stardust Intelligence's rope-driven AI robots combine high interactive safety and anthropomorphic expressiveness, and have achieved large-scale deployment in entertainment performances and commercial services. Brands can explore introducing such intelligent robots to build differentiated offline interaction and brand marketing scenarios, create new brand experiences, and align with current consumer demand for intelligent experiences.

3. Cooperation opportunities: Leading robotics companies have opened up cooperation across multiple sectors. Brands can connect with relevant companies based on their own business needs to explore cooperation models such as co-branding and scenario deployment.

The information in this article provides references for sellers to tap new opportunities in the embodied intelligence track. Key takeaways are as follows:

1. Track opportunity assessment: The embodied intelligence track has moved from the R&D stage to mass production and commercial deployment, enjoys strong capital confidence, and has multiple leading players pushing for IPOs. It is a high-growth emerging track with enormous incremental space, so sellers can enter the track to pursue new growth.

2. Explorable business directions: Rope-driven AI robots have achieved large-scale deployment in four major sectors: scientific research, commercial services, entertainment performances and industry. Sellers can explore businesses such as robot agency sales, supporting services for scenario deployment, and component distribution to capture incremental growth from the new track.

3. Risk warning: The track has relatively high technical barriers, and leading players have already completed layout in technology, production capacity and capital. New entrants should not enter the complete robot market blindly; instead, they should target niche supporting scenarios to reduce operational risks.

The information in this article brings new business opportunities and digital transformation insights for manufacturing factories. Key takeaways are as follows:

1. Direct business opportunities: Stardust Intelligence has achieved 10,000-unit level mass production of rope-driven AI robots, and stable mass production requires support from upstream component suppliers and supporting process service providers. Factories with relevant manufacturing capabilities can connect with the company to secure supporting cooperation opportunities and enter the high-growth robotics track.

2. Production experience reference: Stardust Intelligence overcame three core challenges during mass production: supply chain integration, process stability control and cost control. These experiences provide references for factories looking to advance intelligent product manufacturing, and factories can adapt these insights to optimize their own production management systems.

3. Transformation insights: The embodied intelligence track is currently in the pre-boom stage. Traditional manufacturing factories can leverage their own manufacturing advantages to enter the robot component and body processing segments, advance their own digital and intelligent transformation, and open up new growth curves.

The latest trends in the embodied intelligence track disclosed in this article point out new business directions for relevant service providers. Key takeaways are as follows:

1. Industry development trends: In 2025, the embodied intelligence track has entered a period of accelerated development, with a large number of leading companies completing shareholding restructuring and pushing for IPOs, and leading players already achieving 10,000-unit level mass production. Demand for supporting services across the track is growing rapidly, so service providers can lay out business in this track in advance to capture new customer growth.

2. Core customer pain points: For robotics companies in the mass production stage, the core pain points are supply chain integration, process stability improvement and cost control. Service providers can develop targeted solutions around these pain points, such as supply chain integration services, production process consulting and cost reduction consulting, to align with customer demand.

3. New business opportunities: Rope-driven AI robots have achieved large-scale deployment in multiple end scenarios, which require supporting services such as scenario transformation and post-deployment operation and maintenance. Service providers can enter these niche service segments to expand their customer base.

The information in this article provides references for operation and investment promotion direction for platform operators in the hard technology and intelligent manufacturing sectors. Key takeaways are as follows:

1. Track demand sorting: As the embodied intelligence track enters the mass production and IPO stage, a large number of high-quality robotics companies have demand for investment and financing matching, industrial supporting matching and production capacity expansion connection. Platform operators can develop targeted service products to meet the needs of track companies and attract enterprises to settle in.

2. Investment promotion direction reference: As a leading embodied intelligence company that has achieved mass production and holds a valuation of over 10 billion yuan, Stardust Intelligence is an outstanding benchmark project. Platform operators can build dedicated industrial parks and investment promotion zones centered on the embodied intelligence track to gather track players and build differentiated platform competitiveness.

3. Risk avoidance tips: The track has high technical barriers, so when introducing projects, platforms should prioritize screening companies with core proprietary technology and proven mass production and commercialization capabilities, to avoid bringing in technically immature projects without commercialization capacity and reduce platform operation risks.

The latest industry information disclosed in this article provides new research materials for researchers in the embodied intelligence field. Key takeaways are as follows:

1. New industry trends: In 2025, China's embodied intelligence track has completed the transition from laboratory R&D to commercial mass production, with multiple leading companies collectively completing shareholding restructuring and pushing for IPOs. This marks the track's official entry into a new stage of commercial development, and this trend is an important sample for researching the development of the global embodied intelligence industry.

2. New business model sample: Stardust Intelligence adopts a full-stack in-house R&D strategy, building a tripartite proprietary system integrating AI models, embodied OS and rope-driven robot bodies, and realized the world's first mass production of rope-driven AI robots. This full-stack in-house R&D model provides a brand-new case for researching business model innovation in the track.

3. Capital trend reference: The track currently wins collective recognition from financial investment institutions, state-owned capital and industrial capital. A leading company founded less than three years ago has already achieved a post-money valuation exceeding 10 billion yuan, reflecting capital's high recognition of the track and providing the latest case reference for researching capital flow in the hard technology sector.

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】天眼查显示,日前具身智能企业星尘智能完成工商变更,正式更名为星尘智能(深圳)人工智能科技股份有限公司,企业类型由“有限责任公司”变更为“股份有限公司(港澳台投资、未上市)”。

2025年以来,具身智能赛道的玩家们纷纷开启IPO征程。宇树、乐聚、云深处等在A股和港股的进程加速,银河通用、傅利叶智能、星动纪元、星海图、松延动力、智平方等也都已经完成股改。

星尘智能成立于2022年12月,基于“Design for AI”核心理念,公司构建了“AI模型—具身OS—绳驱本体”三位一体的全栈自研体系。目前,星尘智能是全球首个且唯一实现绳驱AI机器人量产的公司,已将产能提升到万台级水平,攻克了供应链整合、工艺稳定性和成本控制等多方难关。

在AI模型方面,星尘智能自研Lumo基座模型与DuoCore商业化部署框架,通过快慢系统协同,兼顾复杂任务理解与实时动作控制;在本体方面,其模仿人类肌腱运动机制的绳驱本体,兼具高灵巧操作力、高拟人表现力与更高人机交互安全性。在商业化方面,星尘智能已在科研、商业服务、文娱演出和工业等多个领域实现规模化落地。

星尘智能创始人兼CEO来杰,在人工智能与机器人领域拥有超过17年研发设计经验,主导研发过多款新型机器人,此前他曾担任腾讯机器人实验室1号员工与架构师、百度“小度机器人”团队负责人。

天眼查数据显示,公司自成立以来共完成8轮融资,最新的B轮融资于今年6月完成,投后估值突破百亿元。成立至今,星尘智能已获得德迅投资、云启资本、经纬创投、道彤投资、清辉投资、锦秋基金、蚂蚁集团、国科投资、Bloom Advance Capital、时代伯乐、南山战新投、梁溪科创产业二期母基金、扬州龙投芯粒、中博聚力、中科创达(300496.SZ)、科德教育(300192.SZ)等头部财务投资机构、知名国资及产业投资方的投资。

文章来源:亿邦动力

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FAQ回顾

星尘智能是一家什么公司?

星尘智能成立于2022年12月,是全球首个且唯一实现绳驱AI机器人量产的具身智能企业,构建“AI模型—具身OS—绳驱本体”全栈自研体系,产能达万台级,已在多个领域规模化落地,投后估值突破百亿元。

绳驱AI机器人有哪些优势?

绳驱AI机器人模仿人类肌腱运动机制打造本体,兼具高灵巧操作力、高拟人表现力与更高人机交互安全性,可适配科研、商业服务、文娱演出、工业等多场景的商业化需求。

2025年具身智能赛道有哪些发展动向?

2025年以来具身智能赛道玩家纷纷开启IPO征程,宇树、乐聚等企业A股、港股IPO进程加速,银河通用、傅利叶智能、星尘智能等多家企业已完成股改。

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