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智元“元苼生态发展计划”加速推进,投入超2亿元构筑高校具身智能人才新生态

龚作仁 2026-10-14 11:20
龚作仁 2026/10/14 11:20

邦小白快读

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智元的元苼生态发展计划正加速落地,核心是为高校具身智能教学提供真机和软件平台。

1. 真机资源:已与北大、清华、浙大等20多所高校合作,投入超一千台全系列机器人,解决高校设备短缺问题;设备总额加软件权益达2亿元。

2. 学习路径:提供AIMA开发平台,包含灵心、灵创、精灵三大平台,学生可完成模型训练、算法调试和真机场景开发,实现从理论到落地的完整闭环。

3. 生态机会:未来五年将投入超20亿元支持科研、教育、生态伙伴和开发者社区,目前已有237所院校、500多家伙伴、10000多名应用开发者和70000多名订阅开发者加入,年轻人可经由大赛、宣讲、社区参与其中。

智元以生态计划打造具身智能领域的品牌护城河,品牌建设从产品营销转向人才和开发者生态培育。

1. 品牌渠道:通过与高校共建产教融合平台,把全系列产品嵌入教学场景,形成覆盖院校的品牌展示、试用和口碑传播通道;走进校园招聘也是雇主品牌建设。

2. 产品研发信号:投入机型覆盖精灵、灵犀、远征和酷拓四足机器人,覆盖轮式、半尺寸、全尺寸人形机器人,显示产品线分层研发策略,瞄准不同教学与产业场景。

3. 用户行为观察:高校师生是早期使用者和传播者,智元通过课程共建、竞赛、开发者社区,让潜在用户从学习阶段就形成对AIMA平台的依赖,抢占未来市场心智。

4. 生态叙事:将2026年定义为部署态元年,强调人形机器人作为生产力,依托开放生态放大品牌影响力,而非直接价格竞争。

具身智能正在形成新的产业机会,元苼生态发展计划为参与者和合作方提供入口。

1. 增长市场:智元与237所国内外院校、500多家生态伙伴合作,推动具身智能从实验室走向部署态,2026年被定义为部署态元年,意味着相关设备、课程、服务和人才需求将放量。

2. 合作方式:可通过生态伙伴、应用开发者或订阅开发者身份进入,参与大赛、联合实验室、难题揭榜和青年学者赞助计划;学生开发者社区也是潜在人才与项目来源。

3. 可学模式:智元以硬件真机实训加软件平台研发的双轨模式降低高校使用门槛,用课程共建、课题共研、实训共育绑定长期合作,这种产品加生态的打法可复用于其他新兴科技品类。

4. 风险提示:当前伙伴和开发者数量增长快,但商业化落地仍处于早期,需关注实际场景价值;不要只看生态规模,要判断自身能否在细分场景中提供差异化服务。

人形机器人规模投入给上游制造带来明确需求信号,订单和产品形态可为工厂提供开发方向。

1. 生产需求:智元一次性投入超千台全系列机器人,覆盖轮式、半尺寸和全尺寸人形机器人及四足机器人,说明具身智能硬件正从小批量定制转向规模化采购,代工和零部件供应商可关注。

2. 产品设计重点:教学和科研场景对可靠性、可二次开发性和软件兼容性要求高,工厂在结构设计、接口标准和系统开放度上需要适配,而不是只做单一硬件。

3. 数字化启示:智元用AIMA软件生态将硬件和开发工具打包,给工厂的启示是产品要硬件加软件的闭环;若能为客户提供训练、部署和运维支持,可形成更大粘性。

4. 商业机会:部署态元年意味着机器人进入工厂等真实场景,逐步替代人工或辅助作业,具备柔性生产、场景适配能力的制造企业可争取成为部署服务或改造合作伙伴。

智元搭建的是硬件真机加软件平台的完整服务解决方案,正好回应高校具身智能教学的系统性痛点。

1. 客户痛点:高校缺设备、缺系统化教学工具,智元用千台真机和AIMA平台解决硬件短缺,并用课程共建、课题共研、实训共育解决教学体系碎片化问题。

2. 方案拆解:AIMA包含灵心平台(开发应用)、灵创平台(综合创作)、精灵平台(全流程作业),提供从模型训练、算法调试到场景开发、二次开发的完整工具链,服务商可借鉴这种分层产品设计。

3. 行业趋势:具身智能进入部署态元年,单一硬件不能满足客户,需要软硬件一体、持续更新和社区支持;服务商应把培训、赛事、开发者运营纳入服务包。

4. 商业模式:智元未来五年20亿元投入生态,本质是用补贴换生态规模和客户生命周期,服务商可围绕课程、认证、场景方案、赛事运营等切入分食生态红利。

元苼生态发展计划展示了一个以开发者为核心的具身智能平台打法,平台建设和招商模式值得关注。

1. 平台架构:智元提供AIMA全域生态底座,融合硬件本体、软件平台和开发者社区,形成开放接入的口径;平台商需要类似分层,硬件、模型、场景应用各层都应有开放接口。

2. 招商与生态运营:通过建联237所院校、500多家生态伙伴,联合工信部人才交流中心等机构办大赛,依托国际学术会议办挑战赛,快速聚集10000多名应用开发者和70000多名订阅开发者,说明赛事和学术合作是高效率的招商方式。

3. 运营管理:以课程共建、实验室、难题揭榜、Sponsor计划绑定高校科研力量,再用宣讲招聘、开发者校园行激活社区,形成从引入到活跃到留存的运营链路。

4. 风险规避:智元把2026年定为部署态元年,但生态数字增长与真实商业转化之间仍有距离,平台商要控制对补贴型生态的依赖,注重可盈利的场景入驻和留存。

智元元苼生态发展计划是产教融合与商业生态结合的典型案例,反映出具身智能产业正在形成系统化人才和组织模式。

1. 产业新动向:具身智能从研发走向部署态,智元以2亿元级高校投入换取人才供给和场景验证,标志着产业竞争从技术专利延伸到教育环节和开发者社区。

2. 商业模式:未来五年20亿元生态投入,以硬件、软件、赛事、课程、招聘五位一体构建生态,值得研究平台型企业在技术扩散早期的补贴与锁定策略。

3. 政策与启示:高校设备短缺、教学工具碎片化是产教融合的真实痛点,企业参与人才培养可作为补充;但政策需要明确校企合作中的知识产权归属、设备使用规范和数据安全边界。

4. 待解问题:237所院校和七万多开发者的生态活跃度能否转化为就业和产业绩效,仍需评价体系;应关注校企合作中短期曝光与长期育人效果之间的张力。

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Quick Summary

Zhiyuan's YuanSheng Ecosystem Development Plan is accelerating its rollout, centered on providing real robots and a software platform for embodied intelligence teaching at universities.

1. Physical robot resources: Zhiyuan has partnered with more than 20 universities, including Peking University, Tsinghua, and Zhejiang University, deploying over 1,000 robots across its full product line to ease equipment shortages; the combined value of hardware and software entitlements reaches RMB 200 million.

2. Learning path: The AIMA development platform, comprising the Lingxin, Lingchuang, and Jingling platforms, lets students complete model training, algorithm debugging, and real-robot scenario development, creating a closed loop from theory to deployment.

3. Ecosystem opportunities: Over the next five years, Zhiyuan will invest more than RMB 2 billion to support research, education, ecosystem partners, and developer communities. To date, 237 institutions, 500-plus partners, over 10,000 application developers, and more than 70,000 subscriber developers have joined. Young people can get involved through competitions, campus briefings, and the developer community.

Zhiyuan is building a brand moat in embodied intelligence through its ecosystem plan, shifting brand building from product marketing to talent and developer ecosystem cultivation.

1. Brand channel: Co-building industry-education integration platforms with universities embeds Zhiyuan's full product line into teaching scenarios, creating campus-wide channels for brand exposure, trials, and word-of-mouth; on-campus recruiting also doubles as employer branding.

2. Product R&D signals: Deployed models span the Jingling, Lingxi, Yuanzheng, and Kutuo quadruped robots, covering wheeled, half-scale, and full-scale humanoid form factors—a tiered product R&D strategy aimed at different teaching and industrial scenarios.

3. User behavior insight: University faculty and students are early users and disseminators. Through curriculum co-development, competitions, and developer communities, Zhiyuan builds dependence on the AIMA platform from the learning stage, capturing future market mindshare before competitors arrive.

4. Ecosystem narrative: By declaring 2026 the Year One of Deployment, Zhiyuan frames humanoid robots as productivity tools and amplifies brand influence through an open ecosystem rather than direct price competition.

Embodied intelligence is giving rise to a new industry opportunity, and the YuanSheng Ecosystem Development Plan provides an entry point for participants and partners.

1. Growth market: Through collaborations with 237 domestic and international institutions and 500-plus ecosystem partners, Zhiyuan is moving embodied intelligence from the lab to the deployment phase. With 2026 defined as the Year One of Deployment, demand for related equipment, courses, services, and talent is expected to scale significantly.

2. Ways to participate: Players can enter as ecosystem partners, application developers, or subscriber developers, engaging through competitions, joint labs, open challenge lists, and young scholar sponsorship programs; the student developer community is also a source of potential talent and projects.

3. Learnable model: Zhiyuan's dual-track approach—hands-on training with real hardware plus software platform development—lowers the adoption barrier for universities and locks in long-term collaboration through curriculum co-building, joint research, and shared practical training. This product-plus-ecosystem playbook can be replicated in other emerging technology categories.

4. Risk note: Partner and developer counts are growing quickly, but commercial deployment remains at an early stage. Do not be swayed by ecosystem scale alone; assess whether you can deliver differentiated services in specific scenarios.

Large-scale investment in humanoid robots sends clear demand signals to upstream manufacturing, with order volumes and product form factors offering direction for factories.

1. Production demand: Zhiyuan's one-time deployment of over 1,000 full-series robots—covering wheeled, half-scale, and full-scale humanoid robots as well as quadruped robots—shows embodied intelligence hardware is shifting from small-batch customization to volume procurement. Contract manufacturers and component suppliers should pay attention.

2. Product design priorities: Teaching and research scenarios place high demands on reliability, secondary development capability, and software compatibility. Factories must adapt in structural design, interface standards, and system openness rather than producing single-purpose hardware.

3. Digital insight: Zhiyuan packages hardware and development tools into its AIMA software ecosystem. The lesson for factories is to build a hardware-plus-software closed loop; offering training, deployment, and maintenance support can create stronger customer stickiness.

4. Business opportunity: The Year One of Deployment means robots entering real-world settings such as factories, gradually replacing or assisting human labor. Manufacturers with flexible production and scenario adaptation capabilities can position themselves as deployment service or retrofitting partners.

Zhiyuan is assembling an end-to-end service solution that combines physical robots with a software platform, directly addressing the systemic pain points of embodied intelligence teaching at universities.

1. Customer pain points: Universities lack equipment and systematic teaching tools. Zhiyuan solves the hardware shortage with 1,000-plus real robots and the AIMA platform, and addresses fragmented teaching systems through curriculum co-building, joint research, and shared practical training.

2. Solution breakdown: AIMA consists of the Lingxin platform (application development), the Lingchuang platform (integrated creation), and the Jingling platform (full-process operations), delivering a complete toolchain from model training and algorithm debugging to scenario development and secondary development. Service providers can draw lessons from this tiered product design.

3. Industry trend: Embodied intelligence has entered the Year One of Deployment. Standalone hardware no longer satisfies customers; they need integrated software-hardware solutions, continuous updates, and community support. Service providers should incorporate training, competitions, and developer operations into their service packages.

4. Business model: Zhiyuan's RMB 2 billion ecosystem investment over five years is essentially using subsidies to buy ecosystem scale and customer lifetime value. Service providers can capture ecosystem dividends by moving into curriculum, certification, scenario solutions, and event operations.

The YuanSheng Ecosystem Development Plan showcases a developer-centric platform play in embodied intelligence, and its platform architecture and partner-recruitment model deserve close attention.

1. Platform architecture: Zhiyuan provides the AIMA all-domain ecosystem foundation, integrating hardware bodies, software platforms, and the developer community into an open access gateway. Platform operators need a similar tiering: hardware, models, and scenario applications should each expose open interfaces.

2. Recruitment and ecosystem operations: By connecting 237 institutions and 500-plus ecosystem partners, running competitions with institutions such as the MIIT Talent Exchange Center, and hosting challenges at international academic conferences, Zhiyuan has rapidly aggregated over 10,000 application developers and 70,000-plus subscriber developers—demonstrating that competitions and academic collaboration are highly efficient acquisition channels.

3. Operations management: Curriculum co-building, joint labs, open challenge lists, and Sponsor programs bind university research capacity to the platform, while campus talks, recruiting, and developer campus tours activate the community—forming a pipeline from acquisition to engagement to retention.

4. Risk mitigation: Zhiyuan has set 2026 as the Year One of Deployment, but a gap remains between ecosystem metric growth and real commercial conversion. Platform operators should limit reliance on subsidy-driven ecosystems and focus on profitable scenario onboarding and retention.

Zhiyuan's YuanSheng Ecosystem Development Plan is a representative case of combining industry-education integration with a commercial ecosystem, reflecting the emergence of systematic talent and organizational models in the embodied intelligence industry.

1. New industry trend: Embodied intelligence is moving from R&D to deployment. Zhiyuan's RMB 200 million investment in universities in exchange for talent supply and scenario validation signals that industrial competition is extending from technology patents to education pipelines and developer communities.

2. Business model: The RMB 2 billion ecosystem investment over five years, integrating hardware, software, competitions, courses, and recruiting into a five-in-one ecosystem, offers a valuable case for studying the subsidy and lock-in strategies of platform companies during early technology diffusion.

3. Policy implications: Equipment shortages and fragmented teaching tools at universities are real pain points in industry-education integration, and corporate participation in talent cultivation can serve as a complement. However, policy must clarify intellectual property ownership, equipment usage norms, and data security boundaries in university-industry collaboration.

4. Open questions: Whether the activity of 237 institutions and more than 70,000 developers translates into employment and industrial performance still requires an evaluation framework. Attention should also be paid to the tension between short-term visibility and long-term educational outcomes in university-industry partnerships.

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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日前,智元“元苼生态发展计划”与国内众多高校开展合作,共建具身智能产教融合创新实践平台。基于具身智能真实教学与科研需求,智元将投入千台具身智能设备,双方将进行课程共建、课题共研、实训共育,打通产业前沿技术与高校人才培养的衔接壁垒,为具身智能产业规模化落地筑牢人才根基。

赋能高校实训,千台真机筑牢育人底座

首批合作的20多所高等院校包括北京大学、清华大学、浙江大学、华南理工大学、上海交通大学、西安交通大学、东南大学、中山大学等。智元将投入包括精灵、灵犀、远征在内的轮式、半尺寸和全尺寸人形机器人以及酷拓四足机器人,投入机型覆盖了智元全系列本体产品,投入总数超过一千台,解决了很多高校机器短缺的问题。

同步,智元还提供AIMA开发平台,为高校系统化教学、学生自主研发提供完整工具支撑。作为智元推出的具身智能全域技术生态底座,AIMA包含灵心平台LinkSoul(具身智能体开发应用平台)、灵创平台LinkCraft(机器人综合智能创作平台)、精灵平台Genie Studio(一站式全流程具身作业智能平台),为高校学生提供“硬件真机实训+软件平台研发”的双轨教学体系。依托全套软件生态,高校学子可系统性学习具身智能软硬件原理、完成模型训练、算法调试、场景开发、任务实现与二次开发等,实现从理论学习到真机落地的完整闭环。本次智元提供机器本体与软件会员权益的总额达到2亿。

具身智能产教融合创新实践平台作为智元与高校生态的一个合作窗口,后续将围绕具身智能人才培养与高校实践教学,通过设立专项基金,进一步开展课程与教材共建、科研课题共建、师资培训和学生实训等合作。同时,智元也将探索建立常态化高校交流机制,支持优质项目落地,逐步形成可持续、可复制的具身智能校企合作模式。

“元苼”全面赋能,打造多元立体合作范式

在2026 APC智元合作伙伴大会上,智元推出“元苼生态发展计划”,未来五年将投入超过20亿元专项资金,用于科研学术创新、教育人才培养、生态伙伴发展以及开发社区运营,聚力打造全球最开放、最繁荣、最具活力的具身智能技术生态。

依托“元苼生态发展计划”,智元构建起多维度、立体化的校企合作体系,形成以赛促学、课程支持、科研实践、学生实践的完整育人链路,积极搭建了梯度化赛事矩阵,包括智元主办,工信部人才交流中心承办的“灵创大赛”、举办2026睿抗机器人开发者大赛智元具身服务机器人赛、依托各类国际顶级学术会议举办的“AGIBOT World Challenge”等,并通过联合实验室、难题揭榜与青年高潜学者Sponsor计划,链接高校科研力量,有效解决真实产业命题;另外,智元积极支持“学生实践”,通过智元AIMA开发者校园行、开发者交流沙龙等,把具身智能前沿实践带进校园,构建活跃的校园开发者生态社区。

今年秋招之际,智元同步奔赴多所重点高校开展招聘宣讲,携机器人产品走进校园,全面展示公司的战略布局、技术图景与人才期待,致力于吸引更多有志于投身具身智能行业的青年学子加入,共建物理AI新时代。高校是人才培养的主阵地,产业是人才成长的实践场。智元将持续推动高校育人方向与产业人才需求的同频共振,贯通人才培养、实践创新与就业发展的全链路,为具身智能产业积蓄青年力量。

生态星火成炬,点亮具身智能产业新征程

产业育人非一朝一夕之功,生态建设非一蹴而就之事。2026年,智元定义为具身智能“部署态元年”,这标志着具身智能能够像人一样,变成持续创造价值的全新生产力。“部署态”的成功落地,验证了人形机器人落地产业、服务真实场景的可行性,但想要让具身智能真正扎根千行百业,仅凭单一企业、少数团队的力量远远不够,需要无数人,特别是年轻人躬身入局。

智元“元苼生态发展计划”,自4月17日正式发布以来,在短时间内快速成长为国内具身智能领域规模最大、活跃度最高的核心生态平台之一。目前,“元苼生态发展计划”已经建联国内外237所科研院校,合作了500+家生态合作伙伴,累积了10000+应用开发者和70000+订阅开发者,这一数字每天都在增长。

以生态聚人才,以人才兴产业。未来,智元将持续深耕“元苼”生态发展建设,携手全国高校与青年开发者,以个体微光汇聚生态星河,共同投身具身智能生产力建设浪潮,推动高阶智能文明新时代蓬勃发展。

注:文/龚作仁,文章来源:Laborer,本文为作者独立观点,不代表亿邦动力立场。

文章来源:Laborer

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FAQ回顾

智元“元苼生态发展计划”是什么?

智元“元苼生态发展计划”是智元推出的具身智能生态发展计划,旨在通过投入资金、设备与软件平台,与高校、科研院校及开发者共建具身智能技术生态。该计划自2026年4月17日发布,已建联国内外237所科研院校,未来五年将投入超过20亿元专项资金,用于人才培养、生态伙伴发展等方向。

智元为高校人才培养提供了哪些支持?

智元与北京大学、清华大学等20多所高校共建产教融合创新实践平台,投入超过一千台轮式、半尺寸和全尺寸人形机器人及酷拓四足机器人,并提供AIMA开发平台,通过课程共建、课题共研、实训共育等方式,帮助学生实现从理论学习到真机落地的完整闭环。设备与软件会员权益总额达2亿元。

2026年具身智能行业有哪些标志性进展?

2026年被智元定义为具身智能“部署态元年”,标志着人形机器人进入能够持续创造价值的部署应用阶段。智元在2026年加速推进“元苼生态发展计划”,与国内20多所高校及237所科研院校建立合作,推动具身智能从技术验证走向产业落地。

智元AIMA开发平台包含哪些部分?

AIMA是智元推出的具身智能全域技术生态底座,包含灵心平台LinkSoul(具身智能体开发应用平台)、灵创平台LinkCraft(机器人综合智能创作平台)和精灵平台Genie Studio(一站式全流程具身作业智能平台),为高校学生提供“硬件真机实训+软件平台研发”的双轨教学体系。

智元“元苼生态发展计划”已取得哪些合作成果?

该计划已建联国内外237所科研院校,合作500家生态合作伙伴,累积10000名应用开发者和70000名订阅开发者。同时,智元与20多所高校共建产教融合平台,并举办“灵创大赛”等赛事,构建了以赛促学、课程支持、科研实践、学生实践的完整育人链路。

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