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完成数亿元融资 具身智能“卖铲人”他山科技市占率何以超80%?

李佳晅 2026-07-11 12:11
李佳晅 2026/07/11 12:11

邦小白快读

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本文核心介绍了国内具身智能触觉感知赛道头部企业他山科技的最新发展情况,梳理了核心干货信息如下:

1. 企业核心信息:他山科技2017年成立于北京,是专注人工智能触觉感知技术的全栈应用方案研发商,核心业务覆盖触觉传感器、芯片、算法及场景方案,产品应用于人形机器人、汽车电子、智能家电等多个领域。目前完成数亿元B轮融资,是半年内完成的第三轮融资,C轮已同步开启,公司触觉传感器市占率超80%,月交付达数万枚,已和180余家产业链客户合作。

2. 技术与产品布局:公司全栈自研体系解决了触觉多维感知解析难题,硬件四个核心指标领先行业,已落地两大触觉数据采集中心,今年Q3即将发布新一代芯片,采样能力将提升数十倍。

本文为硬科技品牌,尤其是触觉感知、具身智能赛道的品牌提供了发展参考,核心干货如下:

1. 产业消费趋势:当前具身智能产业加速爆发,触觉感知已经从可选配件升级为精密操作的刚需,除人形机器人等前沿赛道外,汽车电子、智能家电、康养科技等多个领域都有广阔需求,跨赛道布局可实现抗周期发展。

2. 产品研发方向参考:品牌需要深耕底层技术,走全栈自研路线,打磨核心性能指标,针对行业核心痛点如触觉数据跨本体迁移等开发解决方案,才能构建技术护城河。

3. 品牌增长路径:提前实现商业化量产,绑定产业链上下游客户,引入产业资本入股,借助产业资源快速扩大产能和市场份额,他山科技就是通过该路径做到80%的市占率。

本文给布局机器人产业链的卖家披露了赛道最新动态,提供了机会和参考,核心干货如下:

1. 增长市场与机会:触觉感知是当前具身智能实现精密操作的核心瓶颈,已经成为行业刚需,市场需求爆发式增长,他山科技上半年订单量已经达到去年全年的四倍,增长速度极快,赛道机会明显。

2. 需求变化:下游除人形机器人、灵巧手对高精度触觉传感器有强需求外,汽车电子、智能家电、康养科技等成熟领域也有大量落地需求,跨赛道需求多,可挖掘的合作空间大。

3. 风险与参考:当前赛道头部玩家已经构建了全栈技术壁垒,卖家进入需要找准定位,优先和头部企业开展合作,跟进核心环节的配套机会,避开技术积累不足的风险。

本文给零部件制造工厂、布局机器人产业链的生产企业提供了多方面干货,核心内容如下:

1. 产品生产与设计需求:下游客户对触觉传感器明确要求四个核心性能,即全场景适应的鲁棒性、高一致性的稳定性、高过载的耐久性、快速响应能力,当前行业普遍需要解决触觉数据跨本体迁移的痛点,相关产品设计可以围绕这些需求展开。

2. 商业机会:触觉传感器市场需求爆发,月交付规模已经达到数万枚,产品广泛应用于人形机器人、汽车电子、智能家电等多个领域,上游零部件工厂可以对接头部企业寻求配套合作,获得稳定订单。

3. 数字化转型启示:制造企业布局新赛道需要深耕核心技术,构建从硬件到软件的技术闭环,同时可以积极对接产业资本获得扩张资金,开放和产业链头部玩家合作,快速提升市场份额。

本文给服务于具身智能、机器人产业链的服务商提供了行业趋势、客户痛点等干货,核心内容如下:

1. 行业发展趋势:随着多模态大模型发展,具身智能产业进入加速爆发阶段,触觉感知作为机器人和物理世界交互的核心部件,已经从可选配件升级为刚需,市场需求高速增长,资本持续加注,赛道发展前景广阔。

2. 客户核心痛点:当前行业存在多个共性痛点,包括触觉多维感知信号同步解析难度大、触觉数据无法跨不同本体迁移、缺少高性能可量产的触觉传感器、缺少高质量的触觉训练数据,这些都是服务商可以切入的方向。

3. 解决方案参考:头部玩家已经跑通“芯片-传感器-算法-场景应用”的全栈解决方案,通过打造通用触觉训练底座,推出解耦式数据采集产品,解决行业核心痛点,该模式可供服务商参考。

本文给机器人产业相关的平台商提供了产业需求、布局方向等干货,核心内容如下:

1. 当前产业对平台的核心需求:具身智能产业链发展,需要平台对接成熟稳定的高性能触觉传感器供应链,同时需要适配多品牌、多构型机器人的通用触觉训练资源,解决行业数据互通、数据采集的痛点。

2. 赛道头部企业的发展特点:头部触觉方案供应商已经实现大规模量产,市占率超80%,落地了两大通用触觉数据采集中心,兼容各类硬件终端,解决了数据跨本体迁移的行业痛点,已经和180余家产业链客户达成合作,商业化进度全球领先。

3. 平台布局提示:触觉感知是具身智能的核心刚需环节,当前赛道增长速度快,头部企业技术和商业化优势明显,平台可以引入这类核心零部件企业入驻,完善平台产业链布局,同时跟进前沿技术迭代,对接资本资源服务入驻企业。

本文给研究具身智能产业、硬科技产业的研究者提供了产业新动向、商业模式等多方面干货,核心内容如下:

1. 产业最新动向:国内触觉感知赛道已经发展成熟,跑出了全栈自研的头部企业他山科技,该公司触觉传感器市占率超80%,实现大规模量产,商业化落地进度处于全球第一梯队,资本认可度高,半年完成三轮融资,C轮已经开启,赛道进入加速增长阶段。

2. 产业核心新问题:当前具身智能发展的核心瓶颈就是触觉感知,行业普遍存在缺少高性能可量产触觉传感器、触觉数据无法跨本体迁移、缺少高质量触觉训练数据的问题,这些都是产业待解决的核心问题。

3. 商业模式参考:头部企业采用“全栈自研+跨场景落地+产业资本合作”的商业模式,同时布局前沿人形机器人赛道和汽车电子、智能家电等成熟场景,兼具技术爆发力和抗周期能力,通过全栈垂直整合构建了深厚的技术护城河,该模式值得研究。

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Quick Summary

This article introduces the latest developments of Tashan Technology, China's leading company in the embodied intelligence tactile perception track. Key takeaways are as follows:

1. Company overview: Founded in Beijing in 2017, Tashan Technology is a full-stack developer of artificial intelligence tactile perception solutions. Its core business covers tactile sensors, chips, algorithms and application solutions, with products used in humanoid robots, automotive electronics, smart home appliances and other fields. To date, the company has completed hundreds of millions of yuan in Series B financing, the third round of financing closed within six months, and its Series C round is already underway. Tashan holds over 80% of China's tactile sensor market share, delivers tens of thousands of units monthly, and has partnered with more than 180 industrial chain clients.

2. Technology and product roadmap: The company's fully in-house full-stack R&D system solves the core challenge of multi-dimensional tactile perception analysis, with four key hardware performance indicators outperforming industry peers. It has also launched two large-scale tactile data collection centers, and will release a new-generation chip in Q3 this year that boosts sampling capacity by dozens of times.

This article offers strategic insights for hard technology brands, especially those active in the tactile perception and embodied intelligence sectors:

1. Industry and consumer trends: The embodied intelligence industry is accelerating its growth, and tactile perception has evolved from an optional add-on to a core requirement for precision operation. Beyond cutting-edge tracks such as humanoid robots, demand is expanding across multiple mature sectors including automotive electronics, smart home appliances and healthcare technology. Cross-track deployment helps brands build resilience against economic cycles.

2. Product R&D guidance: Brands need to focus on underlying core technology, adopt a full-stack in-house R&D strategy, refine core performance indicators, and develop solutions for industry pain points such as cross-ontology tactile data transfer to build sustainable technical moats.

3. Growth path: Brands should achieve commercial mass production early, partner with upstream and downstream players in the industrial chain, attract strategic industrial investment, and leverage industrial resources to rapidly scale production and expand market share. This is the exact strategy that allowed Tashan Technology to capture 80% of the domestic market.

This article shares the latest industry updates and opportunities for sellers active in the robot industrial chain:

1. High-growth market opportunity: Tactile perception has become the core bottleneck for precision operation in embodied intelligence, and is now an established industry necessity with exponentially growing market demand. Tashan Technology's order volume in the first half of this year already reached four times the total order volume of full year 2023, indicating extremely rapid track growth and strong opportunities.

2. Shifting demand: Downstream demand for high-precision tactile sensors extends far beyond humanoid robots and dexterous robot hands, with large unmet demand in mature sectors such as automotive electronics, smart home appliances and healthcare technology. This cross-sector demand creates extensive space for new collaboration opportunities.

3. Risk guidance: Track leaders have already built solid full-stack technical barriers. New entrants should position themselves carefully, prioritize collaboration with leading players, focus on supporting opportunities in core links, and avoid risks stemming from insufficient technical accumulation.

This article provides key insights for component manufacturing factories and production enterprises entering the robot industrial chain:

1. Production and design requirements: Downstream clients have four clear core performance requirements for tactile sensors: robustness for full-scenario adaptation, high-consistency stability, high-overload durability, and fast response. The widespread industry pain point of cross-ontology tactile data transfer should also be a core focus for related product design.

2. Commercial opportunity: The tactile sensor market is booming, with monthly delivery volumes already reaching tens of thousands of units. Products are widely adopted across humanoid robots, automotive electronics, smart home appliances and other fields. Upstream component factories can pursue supporting partnerships with leading players to secure stable, long-term orders.

3. Digital transformation insights: To enter this new track, manufacturing enterprises should focus on core technology to build a closed technical loop from hardware to software, actively partner with industrial capital for expansion funding, and collaborate with track leaders to rapidly grow market share.

This article shares industry trends and client pain point insights for service providers serving the embodied intelligence and robot industrial chain:

1. Industry development trend: Driven by advances in multimodal large models, the embodied intelligence industry is entering a period of rapid expansion. As a core component enabling robots to interact with the physical world, tactile perception has evolved from an optional accessory to a necessity, with fast-growing market demand and sustained capital inflow, making the track highly promising.

2. Core client pain points: The industry faces multiple common pain points: difficulty in synchronous analysis of multi-dimensional tactile perception signals, inability to transfer tactile data across different ontologies, shortage of high-performance mass-producible tactile sensors, and lack of high-quality tactile training data. All these pain points represent entry opportunities for service providers.

3. Reference solution model: Track leaders have already validated a full-stack "chip-sensor-algorithm-application" solution model. By building a general tactile training base and launching decoupled data collection products, they solve core industry pain points, and this proven model can serve as a reference for service providers.

This article provides insights on industrial demand and layout direction for platform operators in the robot industry:

1. Core industry demand from platforms: As the embodied intelligence industrial chain develops, platforms need to connect clients with a mature and stable supply chain of high-performance tactile sensors, as well as provide general tactile training resources compatible with multi-brand, multi-configuration robots to solve industry pain points related to data interoperability and data collection.

2. Development characteristics of leading track players: Leading tactile solution providers have already achieved large-scale mass production, hold over 80% of the domestic market share, and launched two general-purpose tactile data collection centers compatible with various hardware terminals, solving the industry-wide pain point of cross-ontology data transfer. They have also established partnerships with more than 180 industrial chain clients, putting their commercialization progress ahead globally.

3. Layout guidance: Tactile perception is a core necessity for embodied intelligence, and the track is growing rapidly, with leading players holding clear technical and commercial advantages. Platforms can onboard these core component enterprises to improve their own industrial chain layout, follow cutting-edge technology iterations, and connect onboarding enterprises with capital resources.

This article provides updates on industrial developments and business model insights for researchers studying the embodied intelligence and hard technology sectors:

1. Latest industrial developments: China's tactile perception track has reached maturity, with the emergence of full-stack independent R&D leader Tashan Technology. The company holds over 80% of the domestic tactile sensor market, has achieved large-scale mass production, ranks among the global first tier in commercialization progress, enjoys high recognition from capital, completed three financing rounds in six months, and has already opened its Series C round. The overall track is now entering a phase of accelerated growth.

2. Core unresolved industry problems: Tactile perception is currently the core bottleneck for embodied intelligence development. The industry broadly faces three key unmet needs: lack of high-performance mass-producible tactile sensors, inability to transfer tactile data across ontologies, and shortage of high-quality tactile training data. All these are core open problems for the industry.

3. Business model reference: The leading player adopts a "full-stack independent R&D + cross-scenario deployment + industrial capital partnership" business model, with simultaneous布局 in the cutting-edge humanoid robot track and mature scenarios such as automotive electronics and smart home appliances. This model combines technical growth potential with counter-cyclical resilience, and builds a deep technical moat through full-stack vertical integration, making it worthy of in-depth study.

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 .

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【亿邦原创】一家上游核心零部件企业,持续撬动多轮资本加注。

日前,他山科技完成数亿元B轮融资。本轮投资方包括太平创新、均胜电子、奥克斯、鹏翎股份、Lavender Hill Capital Partners(LHCP)、洪山资本等产业方,老股东道氏技术、彬复资本追加投资。这是他山科技近半年来完成的第三轮融资,与此同时,C轮融资已同步开启。

他山科技是一家专注于人工智能触觉感知技术及全栈式应用解决方案的研发商,成立于2017年,总部位于北京。公司核心业务涵盖触觉传感器、触觉芯片、算法模型及场景化解决方案的研发与生产,产品广泛应用于人形机器人、汽车电子、智能家电、消费电子等领域。其技术优势在于构建“芯片-传感器-算法模型-场景应用”的全栈自研体系,解决触觉多维感知信号同时解析的难题,为机器人与物理世界的交互提供了关键支撑。

他山科技触觉传感器月交付量已达数万枚,上半年订单量超过去年全年的四倍,市占率持续维持在80%以上。已经和国内外180余家机器人产业链客户达成深度商业化合作。

技术层面,他山科技已形成从传感器到训练范式的完整闭环,在硬件层做到了四个关键底层指标——鲁棒性、稳定性、耐久性、响应速度。

在鲁棒性上,他山科技传感器不局限于实验室或室内单一场景,无论是室外复杂工况还是水下环境,均能保持稳定运行,真正具备全场景适应能力;在稳定性上,他山科技在重复测量一致性方面领先行业一个数量级,传感器多次测量标准差≤0.03,确保每次采集均获得高度一致的数据输出;同时线性拟合优度R²≥99.9%,真实反映受力变化,为具身智能提供稳定、可信、可复现的高质量训练数据;在耐久性上,实现了超300万次抓取任务、超1000N过载后无损坏,仍能稳定运行;在响应速度上,他山科技重新定位了手指的角色——它不仅是传感器,更是运动控制的起点,因此将时域分辨率作为产品化的首要指标,让触觉系统具备了与人体手指神经反射相当的快速响应能力。

在数据采集层面,他山科技今年已在北京石景山与湖北潜江落地两大触觉数据采集中心,以异构人形机器人训练体系为核心框架,打造了适配多品牌、多构型、多技术路线机器人的通用训练底座,全面兼容灵巧手、机械夹爪、单双臂操作台等各类硬件终端,可实现不同技术路线、本体构型、自由度设计产品的无缝适配,致力解决数据跨本体迁移的行业核心需求。同时,发布TS-Echo数据感知指套,支持无本体采集,将触觉数据与特定机器人形态解耦,针对任何机械臂或灵巧手,使采集到的触觉信息可在异构本体/执行器中迁移。

据悉,他山科技今年芯片测量频率同步增加了3-4倍,Q3即将发布全新一代芯片,基于全新动态触觉技术,采样时间将实现数十倍以上的提升。

投资人观点

太平创新他山科技具有对触觉感知领域前瞻性及全局性战略思考,除触觉传感模组本身,探索仿真及真机触觉数据体系建设,上延类脑传感芯片,下至关键场景探索;在场景端,公司除具身智能外,产品也广泛应用于汽车电子、消费家电等多领域;此外,伴随国内老龄化持续深化,康养科技势在必行。触觉是具身智能打通康养场景的核心感知壁垒之一,参与构筑长者及其他家庭成员安全防线,愿他山与众多产业链兄弟公司一道,以科技温度守护银发健康。

均胜电子:触觉传感器是机器人与物理世界交互的“最后一厘米”核心,亦是目前具身智能实现精密灵巧操作的核心瓶颈,正从“可选配件”升级为精密操作与人机协作的刚需底座。他山科技是国内乃至全球AI触觉感知赛道的领军者,正以“芯片-传感器-算法模型-场景应用”的全栈自研能力,为具身智能产业补上“触觉”这一核心拼图。均胜电子以“自研+投资”长期布局具身智能赛道,以“核心部件+工业场景”双轮驱动,此次投资符合公司布局具身智能产业链核心环节的策略。希望通过此次投资,与他山科技建立并加深在触觉传感器方向的业务协同,共同助力具身行业发展。

奥克斯:随着多模态大模型的快速演进,物理AI的经济价值正处于加速爆发的前夜。不同于自动驾驶以视觉主导的“避障”逻辑,具身智能需通过触觉实现与物理世界的深度交互,触觉感知不仅是实现精密操作的关键基石,亦是产业演进的核心制约因素。他山科技作为行业内具备底层芯片、算法模型与传感器全栈自研能力的标杆企业,通过垂直整合构建了深厚的技术护城河。公司不仅凭借高性能触觉解决方案解决了行业多维度感知的共性瓶颈,率先达成商业化量产,更展现了极广的商业落地宽度:除在具身智能、AI玩具等前沿热点领域占据关键卡位外,在汽车电子、智能家电等成熟产业亦有深厚的落地基础。这种兼具前沿技术爆发力与跨行业抗周期属性的布局,使他山科技成为该赛道中极具投资价值的稀缺科技企业。

鹏翎股份:高精度触觉感知是灵巧手突破操作瓶颈、安全人机交互、复杂物体自适应抓取的底层关键,是具身智能实现通用落地、完成精细化作业的核心抓手,触觉数据更是补齐具身智能多模态训练数据、提升模型泛化能力的核心增量。他山科技构筑行业独有的全栈自研壁垒,是国内极少数同时掌握底层专用传感芯片、触觉算法大模型、柔性传感阵列硬件的触觉方案供应商,独家分布式协同感知架构可完美适配灵巧手复杂抓取、精密操作场景,产品已获得行业头部灵巧手厂商批量订单认可,商业化落地进度、产品交付规模均处于全球第一梯队。

文章来源:亿邦动力

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FAQ回顾

他山科技是一家什么公司?

他山科技成立于2017年,总部位于北京,是专注于人工智能触觉感知技术及全栈式应用解决方案的研发商,核心业务涵盖触觉传感器、触觉芯片、算法模型及场景化方案的研发生产,产品广泛应用于具身智能、汽车电子、智能家电等领域。

触觉传感器对具身智能产业有什么价值?

触觉传感器是机器人与物理世界交互的核心部件,是具身智能实现精密灵巧操作的核心瓶颈,目前正从“可选配件”升级为精密操作与人机协作的刚需底座,能为具身智能提供稳定可信的高质量训练数据,支撑机器人完成精细化作业。

他山科技的触觉传感器有哪些技术优势?

他山科技触觉传感器拥有全栈自研体系,四大核心指标领先行业:鲁棒性可适应全场景运行,稳定性上重复测量标准差≤0.03,耐久性可承受超300万次抓取无损坏,响应速度媲美人体手指神经反射能力。

触觉感知技术可以应用在哪些场景?

触觉感知技术可广泛应用于具身智能、人形机器人、汽车电子、智能家电、消费电子、AI玩具等领域,还可应用于康养科技场景,作为打通康养场景的核心感知壁垒,助力守护银发群体健康。

他山科技目前商业化进展如何?

他山科技触觉传感器月交付量已达数万枚,上半年订单量超过去年全年的四倍,市占率持续维持在80%以上,已和国内外180余家机器人产业链客户达成深度商业化合作,落地进度居全球第一梯队。

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