[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"chain-detail":3,"chain-related-48f1ae82-a07c-4d67-93c0-abb71a5d1e0d":1534,"chain-scenarios-48f1ae82-a07c-4d67-93c0-abb71a5d1e0d":1542,"chain-expert-resolve-48f1ae82-a07c-4d67-93c0-abb71a5d1e0d":2508},{"id":4,"name":5,"category":6,"groupCategory":7,"intro":8,"scale":9,"maturity":10,"meta":11,"checkState":918,"version":919,"createdBy":197,"createdAt":920,"updatedAt":921,"nodes":922},"48f1ae82-a07c-4d67-93c0-abb71a5d1e0d","具身智能与人形机器人产业链","未来产业","FUTURE","人形机器人本体、具身大模型、灵巧手、核心零部件","中国人形机器人整机企业超140家、发布产品超330款(工信部，2025)；产业整体处量产初期，市场规模待权威口径","孕育期",{"ipc":12,"trl":22,"tier":6,"codes":25,"trade":27,"counts":37,"market":41,"source":55,"experts":56,"shaanxi":185,"sources":186,"clusters":189,"maturity":10,"policies":247,"source60":260,"chainCode":26,"matched60":261,"bottlenecks":262,"competition":737,"subCategory":743,"lifecycleStage":744,"strategic_note":745,"strategic_path":746,"key_technologies":748,"national_policies":758,"value_chain_profile":860,"regional_distribution":881},[13,16,19],{"code":14,"meaning":15},"B25J 9\u002F00","可编程机械臂\u002F工业与人形机器人",{"code":17,"meaning":18},"B25J 13\u002F00","机器人的控制装置",{"code":20,"meaning":21},"G06N 3\u002F00","神经网络\u002F具身学习与大模型",{"basis":23,"range":24},"工业协作机器人成熟(TRL8-9)；人形机器人处小批量示范(TRL5-7)；通用具身大模型\u002F通用人形处研发验证(TRL3-5)。","TRL3-7",[26],"F05",{"exports":28,"sources":29,"dependence":32,"export_yoy":33,"export_label":34,"export_value":35,"imports_note":36},"宇树科技业务覆盖全球60多个国家和地区,进入欧美、东南亚、中东市场;2022-2024年境外收入占比均超50%(2025年1-9月境内占比升至60.8%)。",[30,31],"http:\u002F\u002Fwww.ce.cn\u002Fcysc\u002Fnewmain\u002Fyc\u002Fjsxw\u002F202601\u002Ft20260120_2713144.shtml","https:\u002F\u002Fepaper.cena.com.cn\u002Fpc\u002Fattachment\u002F202603\u002F06\u002Fc6f426e2-96f3-41f3-b3d7-61e22e83a242.pdf","行星滚柱丝杠国产化仅约15-20%,高端RV减速器与高精度力觉传感器对外依存度高;具身大模型训练算力部分依赖高端AI芯片。","高速扩张","人形机器人出海","占全球出货约85-90%","高端行星滚柱丝杠、RV精密减速器、高端六维力\u002F力矩传感器仍进口自日本(哈默纳科\u002F纳博特斯克)、德国(ATI\u002F舍弗勒)等。",{"clusters":38,"segments":39,"companies":40,"bottlenecks":39},5,9,16,{"china":42,"global":53},{"yoy":43,"breakdown":44,"size_2025":52},"高速增长",[45,48,50],{"size":46,"share":46,"segment":47},"待核实","核心零部件",{"size":46,"share":46,"segment":49},"整机制造",{"size":46,"share":46,"segment":51},"系统集成与应用","整机企业超140家、产品超330款(工信部，2025)；具体产值待权威口径",{"note":54,"size_2025":46},"全球人形机器人处早期，中国在整机数量、供应链完整度处第一梯队，特斯拉Optimus为全球标杆。","全产业智慧图谱数据库（公开版）",[57,63,69,75,80,86,92,98,104,110,115,121,127,133,139,144,150,155,160,165,170,176,180],{"org":58,"raw":59,"name":60,"note":61,"title":62},"北京航空航天大学机器人研究所","王田苗（北京航空航天大学机器人研究所），名誉所长，机器人技术与产业化专家，长期推动机器人成果转化","王田苗","机器人技术与产业化专家，长期推动机器人成果转化","名誉所长",{"org":64,"raw":65,"name":66,"note":67,"title":68},"北京大学前沿计算研究中心 \u002F 银河通用机器人","王鹤（北京大学前沿计算研究中心 \u002F 银河通用机器人），研究员、银河通用CTO，具身智能大模型与通用机器人方向","王鹤","具身智能大模型与通用机器人方向","研究员、银河通用CTO",{"org":70,"raw":71,"name":72,"note":73,"title":74},"清华大学交叉信息研究院 \u002F 星海图","许华哲（清华大学交叉信息研究院 \u002F 星海图），助理教授、星海图联合创始人，具身智能与机器人学习方向","许华哲","具身智能与机器人学习方向","助理教授、星海图联合创始人",{"org":70,"raw":76,"name":77,"note":78,"title":79},"赵行（清华大学交叉信息研究院 \u002F 星海图），助理教授、星海图首席科学家，多模态感知与具身智能方向","赵行","多模态感知与具身智能方向","助理教授、星海图首席科学家",{"org":81,"raw":82,"name":83,"note":84,"title":85},"清华大学交叉信息研究院 \u002F 星动纪元","陈建宇（清华大学交叉信息研究院 \u002F 星动纪元），助理教授、星动纪元创始人兼CEO，人形机器人与强化学习方向","陈建宇","人形机器人与强化学习方向","助理教授、星动纪元创始人兼CEO",{"org":87,"raw":88,"name":89,"note":90,"title":91},"中国工程院 \u002F 鹏城实验室","高文（中国工程院 \u002F 鹏城实验室），院士、鹏城实验室主任，人工智能与算力基础设施方向","高文","人工智能与算力基础设施方向","院士、鹏城实验室主任",{"org":93,"raw":94,"name":95,"note":96,"title":97},"蓝点触控","刘吴月（蓝点触控），创始人，六维力传感器与机器人触觉感知方向","刘吴月","六维力传感器与机器人触觉感知方向","创始人",{"org":99,"raw":100,"name":101,"note":102,"title":103},"华中科技大学","丁汉（华中科技大学），中国科学院院士，机器人化智能制造","丁汉","机器人化智能制造","中国科学院院士",{"org":105,"raw":106,"name":107,"note":108,"title":109},"湖南大学","王耀南（湖南大学），中国工程院院士，机器人视觉感知与控制","王耀南","机器人视觉感知与控制","中国工程院院士",{"org":111,"raw":112,"name":113,"note":114,"title":103},"中国科学院自动化研究所","乔红（中国科学院自动化研究所），中国科学院院士，机器人智能与学习","乔红","机器人智能与学习",{"org":116,"raw":117,"name":118,"note":119,"title":120},"清华大学","孙富春（清华大学），教授，智能机器人与灵巧操作","孙富春","智能机器人与灵巧操作","教授",{"org":122,"raw":123,"name":124,"note":125,"title":126},"浙江大学","熊蓉（浙江大学），控制学院教授，智能移动机器人专家","熊蓉","智能移动机器人专家","控制学院教授",{"org":128,"raw":129,"name":130,"note":131,"title":132},"浙江大学\u002F云深处科技","朱秋国（浙江大学\u002F云深处科技），副教授，云深处科技创始人","朱秋国","云深处科技创始人","副教授",{"org":134,"raw":135,"name":136,"note":137,"title":138},"宇树科技","王兴兴（宇树科技），创始人兼CEO，四足与人形机器人","王兴兴","四足与人形机器人","创始人兼CEO",{"org":140,"raw":141,"name":142,"note":143,"title":97},"优必选","周剑（优必选），创始人，人形机器人产业化","周剑","人形机器人产业化",{"org":145,"raw":146,"name":147,"note":148,"title":149},"智元机器人","彭志辉（智元机器人），联合创始人，通用人形机器人","彭志辉","通用人形机器人","联合创始人",{"org":151,"raw":152,"name":153,"note":154,"title":97},"乐聚机器人","冷晓琨（乐聚机器人），创始人，人形机器人","冷晓琨","人形机器人",{"org":156,"raw":157,"name":158,"note":159,"title":138},"傅利叶智能","顾捷（傅利叶智能），创始人兼CEO，康复与通用人形机器人","顾捷","康复与通用人形机器人",{"org":161,"raw":162,"name":163,"note":164,"title":138},"达闼机器人","黄晓庆（达闼机器人），创始人兼CEO，云端智能机器人","黄晓庆","云端智能机器人",{"org":166,"raw":167,"name":168,"note":169,"title":120},"西安交通大学","梅雪松（西安交通大学），教授，陕西省智能机器人重点实验室主任","梅雪松","陕西省智能机器人重点实验室主任",{"org":171,"raw":172,"name":173,"note":174,"title":175},"西北工业大学航天学院","黄攀峰（西北工业大学航天学院），教授、院长，空间机器人与智能操作研究","黄攀峰","空间机器人与智能操作研究","教授、院长",{"org":166,"raw":177,"name":178,"note":179,"title":109},"蒋庄德（西安交通大学），中国工程院院士，精密仪器与微纳传感专家","蒋庄德","精密仪器与微纳传感专家",{"org":181,"raw":182,"name":183,"note":184,"title":120},"西北工业大学","介万奇（西北工业大学），教授，碲锌镉(CZT)晶体与半导体材料专家","介万奇","碲锌镉(CZT)晶体与半导体材料专家","机器人",[187,188],"https:\u002F\u002Fwww.gov.cn\u002Fzhengce\u002F202601\u002Fcontent_7055631.htm","https:\u002F\u002Fwap.miit.gov.cn\u002Fjgsj\u002Fkjs\u002Fgzdt\u002Fart\u002F2023\u002Fart_7f54847cabfa4ed28f472a15a27f2965.html",[190,194,198,202,205,208,211,214,217,220,223,226,229,232,234,238,240,242,244],{"city":191,"name":192,"level":193},"宝鸡","宝鸡渭滨区姜谭经开区传感器产业集群","省级",{"city":195,"name":196,"level":197},"浦东新区特色产业园","上海张江机器人谷",null,{"city":199,"name":200,"level":201},"常州","常州武进国家高新区","国家级",{"city":203,"name":204,"level":197},"吴中经开区","苏州吴中区具身智谷",{"city":206,"name":207,"level":197},"滨江","杭州高新区",{"city":209,"name":210,"level":193},"宁波","余姚机器人智谷小镇",{"city":212,"name":213,"level":197},"国家级机器人产业集聚区","芜湖鸠江经开区",{"city":215,"name":216,"level":193},"西安","秦创原机器人产业创新聚集区",{"city":218,"name":219,"level":197},"留仙大道片区","深圳南山区“机器人谷”",{"city":221,"name":222,"level":201},"北京","北京经济技术开发区",{"city":224,"name":225,"level":197},"国家机器人创新中心","沈阳浑南区",{"city":227,"name":228,"level":197},"海淀区","中关村科学城",{"city":230,"name":231,"level":197},"中国光谷","武汉东湖高新区",{"city":191,"name":233,"level":201},"宝鸡高新区",{"city":235,"name":236,"level":237},"台州","台州玉环齿轮与精密传动产业集群","市级",{"city":209,"name":239,"level":237},"宁波慈溪减速器与智能执行单元集群",{"city":191,"name":241,"level":237},"宝鸡西部传感器产业园",{"city":209,"name":243,"level":237},"宁波江北智能传感产业集聚区",{"city":245,"name":246,"level":201},"东莞","东莞松山湖国际机器人产业基地",[248,254],{"url":188,"date":249,"name":250,"doc_no":251,"issuer":252,"summary":253},"2023-11","《人形机器人创新发展指导意见》","","工业和信息化部","到2025年初步建立创新体系、整机批量生产，到2027年综合达世界先进水平",{"url":251,"date":255,"name":256,"doc_no":257,"issuer":258,"summary":259},"2024-01","《关于推动未来产业创新发展的实施意见》","工信部联科〔2024〕12号","工信部等七部门","人形机器人列'创新标志性产品'第一位","全产业60链图谱",true,[263,328,386,460,493,542,569,617,675],{"name":264,"risk":265,"type":197,"status":266,"experts":267,"policies":274,"progress":285,"companies":286,"policy_support":154},"高精度六维力传感器","风险：高","已突破",[268,271],{"org":93,"raw":269,"name":95,"note":197,"title":270},"刘吴月（蓝点触控），六维力传感器与机器人触觉感知","六维力传感器与机器人触觉感知",{"org":166,"raw":272,"name":178,"note":197,"title":273},"蒋庄德（西安交通大学），传感器与精密测量技术专家","传感器与精密测量技术专家",[275,280],{"raw":276,"date":197,"name":277,"doc_no":197,"issuer":278,"summary":279},"《人形机器人与具身智能标准体系（2026版）》（工业和信息化部（人形机器人与具身智能标准化技术委员会），2026-02）：标准体系将力觉传感器等核心部件列为重点标准研制方向","人形机器人与具身智能标准体系（2026版）","人形机器人与具身智能标准化技术委员会","标准体系将力觉传感器等核心部件列为重点标准研制方向",{"raw":281,"date":255,"name":282,"doc_no":197,"issuer":283,"summary":284},"《关于推动未来产业创新发展的实施意见》（工业和信息化部等七部门，2024-01）：支持人形机器人高精度传感器等关键核心技术攻关","关于推动未来产业创新发展的实施意见","工业和信息化部等七部门","支持人形机器人高精度传感器等关键核心技术攻关","宇立仪器、坤维科技六维力传感器",[287,289,292,295,298,301,304,307,310,313,316,319,322,325],{"name":93,"note":288},"国内人形机器人六维力传感器出货领先",{"name":290,"note":291},"坤维科技","六维力传感器",{"name":293,"note":294},"宇立仪器","六维力\u002F力矩传感器",{"name":296,"note":297},"鑫精诚传感技术","力传感器",{"name":299,"note":300},"安培龙","敏感元件与传感器",{"name":302,"note":303},"帕西尼感知","触觉与多维力传感",{"name":305,"note":306},"柯力传感","智能传感与测控系统",{"name":308,"note":309},"钛深科技","柔性压力与触觉传感",{"name":311,"note":312},"汉威科技","传感器企业，布局柔性传感",{"name":314,"note":315},"ATI","美国，六维力\u002F力矩传感器龙头",{"name":317,"note":318},"宝鸡麦克传感器股份有限公司","宝鸡，力\u002F压力传感器与智能仪表",{"name":320,"note":321},"陕西格芯国微科技有限公司","西安，电子皮肤与多维力感知芯片",{"name":323,"note":324},"陕西宝成航空仪表有限责任公司","宝鸡，航空级力与位移传感器",{"name":326,"note":327},"西安中科光电精密工程有限公司","西安，精密力测量与光电传感",{"name":329,"risk":265,"type":197,"status":266,"experts":330,"policies":331,"progress":344,"companies":345,"policy_support":385},"行星滚柱丝杠精密传动",[],[332,338],{"raw":333,"date":334,"name":335,"doc_no":197,"issuer":336,"summary":337},"《“机器人+”应用行动实施方案》（工业和信息化部等十七部门，2023-01）：支持机器人关键零部件与精密传动基础能力提升","2023-01","“机器人+”应用行动实施方案","工业和信息化部等十七部门","支持机器人关键零部件与精密传动基础能力提升",{"raw":339,"date":340,"name":341,"doc_no":197,"issuer":342,"summary":343},"《宝汉天工业母机集群培育发展三年行动计划（2025—2027年）》（陕西省工业和信息化厅，2025-06）：支持汉江机床等企业攻关行星滚柱丝杠等精密传动部件，服务机器人与机床产业","2025-06","宝汉天工业母机集群培育发展三年行动计划（2025—2027年）","陕西省工业和信息化厅","支持汉江机床等企业攻关行星滚柱丝杠等精密传动部件，服务机器人与机床产业","南京工艺、贝斯特滚柱丝杠国产",[346,349,352,355,358,361,364,367,370,373,376,379,382],{"name":347,"note":348},"五洲新春","行星滚柱丝杠等精密传动部件",{"name":350,"note":351},"恒立液压","精密丝杠、电动缸等线性驱动产品",{"name":353,"note":354},"北特科技","丝杠及精密零部件",{"name":356,"note":357},"贝斯特","子公司宇华精机，滚珠\u002F行星滚柱丝杠",{"name":359,"note":360},"新剑传动","行星滚柱丝杠",{"name":362,"note":363},"秦川机床","精密机床与丝杠\u002F减速器装备",{"name":365,"note":366},"鼎智科技","微特电机与线性执行器",{"name":368,"note":369},"南京工艺装备","滚珠丝杠与精密导轨",{"name":371,"note":372},"博特精工","滚珠丝杠与直线导轨",{"name":374,"note":375},"汉江机床","螺纹磨床与滚珠丝杠",{"name":377,"note":378},"陕西汉江机床有限公司","汉中，滚珠丝杠、直线导轨及行星滚柱丝杠副",{"name":380,"note":381},"秦川机床工具集团股份公司","宝鸡，精密丝杠与传动部件装备",{"name":383,"note":384},"秦川高精传动科技有限公司","宝鸡，精密传动与减速器部件","具身智能",{"name":387,"risk":265,"type":388,"status":266,"experts":389,"policies":403,"progress":421,"companies":422,"policy_support":459},"通用具身智能VLA大模型","软件",[390,393,396,399],{"org":64,"raw":391,"name":66,"note":197,"title":392},"王鹤（北京大学前沿计算研究中心 \u002F 银河通用机器人），具身智能大模型","具身智能大模型",{"org":70,"raw":394,"name":72,"note":197,"title":395},"许华哲（清华大学交叉信息研究院 \u002F 星海图），具身智能与机器人学习","具身智能与机器人学习",{"org":70,"raw":397,"name":77,"note":197,"title":398},"赵行（清华大学交叉信息研究院 \u002F 星海图），多模态感知与具身智能","多模态感知与具身智能",{"org":166,"raw":400,"name":401,"note":402,"title":109},"郑南宁（西安交通大学），中国工程院院士，视觉与智能控制研究","郑南宁","视觉与智能控制研究",[404,410,415],{"raw":405,"date":406,"name":407,"doc_no":197,"issuer":408,"summary":409},"《关于深入实施“人工智能+”行动的意见》（国务院，2025-08）：支持大模型与智能机器人融合创新，培育具身智能新赛道","2025-08","关于深入实施“人工智能+”行动的意见","国务院","支持大模型与智能机器人融合创新，培育具身智能新赛道",{"raw":411,"date":412,"name":413,"doc_no":197,"issuer":252,"summary":414},"《具身智能基准测试方法（YD\u002FT 6770—2026）》（工业和信息化部，2026-03）：规范具身智能系统基准测试与评价方法，支撑通用具身智能技术迭代","2026-03","具身智能基准测试方法（YD\u002FT 6770—2026）","规范具身智能系统基准测试与评价方法，支撑通用具身智能技术迭代",{"raw":416,"date":417,"name":418,"doc_no":197,"issuer":419,"summary":420},"《国家人工智能产业综合标准化体系建设指南（2024版）》（工业和信息化部等四部门，2024-06）：覆盖大模型与具身智能标准化需求","2024-06","国家人工智能产业综合标准化体系建设指南（2024版）","工业和信息化部等四部门","覆盖大模型与具身智能标准化需求","华为、银河通用、智元VLA模型研发",[423,426,429,431,434,437,440,443,446,449,451,453,456],{"name":424,"note":425},"银河通用机器人","GraspVLA等端到端具身大模型",{"name":427,"note":428},"星海图","具身智能基础模型与机器人本体",{"name":145,"note":430},"通用具身基座大模型GO-1",{"name":432,"note":433},"自变量机器人","端到端具身智能大模型",{"name":435,"note":436},"千寻智能","具身智能大模型与机器人",{"name":438,"note":439},"北京人形机器人创新中心","“慧思开物”通用平台",{"name":441,"note":442},"上海人工智能实验室","具身智能与机器人研究",{"name":444,"note":445},"字节跳动","Seed机器人研究与GR系列模型",{"name":447,"note":448},"Physical Intelligence","美国，π系列VLA模型",{"name":450,"note":442},"小米",{"name":326,"note":452},"西安，具身智能视觉理论与机器人产品化",{"name":454,"note":455},"陕西伟景智能科技有限公司","咸阳，视觉-语言-动作模型应用探索",{"name":457,"note":458},"西安电子科技大学智能感知与图像理解教育部重点实验室","西安，多模态大模型研究","AI for Robotics",{"name":461,"risk":265,"type":462,"status":463,"experts":464,"policies":465,"progress":471,"companies":472,"policy_support":197},"高精度行星滚柱丝杠(线性执行器核心)","工艺技术","部分突破",[],[466],{"raw":467,"date":468,"name":469,"doc_no":197,"issuer":283,"summary":470},"《2026年工业和信息化领域创新任务揭榜挂帅》（工业和信息化部等七部门，2026-07）：围绕人形机器人等方向组织揭榜挂帅，支持线性执行器等关键部件攻关","2026-07","2026年工业和信息化领域创新任务揭榜挂帅","围绕人形机器人等方向组织揭榜挂帅，支持线性执行器等关键部件攻关","国际标杆:瑞典SKF、德国舍弗勒\u002FGamet、日本THK,微米级精度与寿命(额定寿命>1万小时)。国产2025国产化率仅约15-20%,精度保持性与寿命约为进口一半,五洲新春等小批量切入特斯拉链,量产一致性待提升。",[473,474,476,478,480,481,483,485,486,487,489,491],{"name":347,"note":360},{"name":350,"note":475},"线性驱动器与精密丝杠",{"name":353,"note":477},"丝杠精密加工",{"name":356,"note":479},"宇华精机，滚珠\u002F行星滚柱丝杠",{"name":359,"note":360},{"name":365,"note":482},"线性执行器与精密丝杠",{"name":368,"note":484},"滚珠丝杠与导轨",{"name":371,"note":372},{"name":374,"note":375},{"name":377,"note":488},"汉中，行星滚柱丝杠副研制",{"name":380,"note":490},"宝鸡，精密传动与丝杠加工装备",{"name":383,"note":492},"宝鸡，精密线性传动部件",{"name":494,"risk":265,"type":462,"status":495,"experts":496,"policies":500,"progress":504,"companies":505,"policy_support":197},"RV精密减速器(重载关节)","依赖进口",[497],{"org":166,"raw":498,"name":168,"note":197,"title":499},"梅雪松（西安交通大学），精密减速器与关节传动技术研究","精密减速器与关节传动技术研究",[501],{"raw":502,"date":197,"name":277,"doc_no":197,"issuer":278,"summary":503},"《人形机器人与具身智能标准体系（2026版）》（工业和信息化部（人形机器人与具身智能标准化技术委员会），2026-02）：标准体系覆盖重载关节用精密减速器标准研制方向","标准体系覆盖重载关节用精密减速器标准研制方向","国际标杆:日本纳博特斯克全球份额约60%、新宝\u002FSumitomo。国产双环传动、秦川机床等份额\u003C30%,在背隙、传动精度与寿命上仍有1-2代差距。",[506,509,512,515,517,520,523,526,529,532,535,537,539],{"name":507,"note":508},"双环传动","子公司环动科技，RV减速器",{"name":510,"note":511},"中大力德","RV\u002F谐波减速器",{"name":513,"note":514},"智同科技","RV减速器",{"name":362,"note":516},"RV减速器及精密装备",{"name":518,"note":519},"来福谐波","精密传动部件",{"name":521,"note":522},"纳博特斯克","日本，RV减速器全球龙头",{"name":524,"note":525},"住友重机械","日本，减速机与精密传动",{"name":527,"note":528},"国茂股份","通用减速机龙头",{"name":530,"note":531},"南通振康","RV减速器国产化先行企业",{"name":533,"note":534},"武汉精华减速机","摆线针轮\u002FRV减速机",{"name":383,"note":536},"宝鸡，RV减速器六大系列50规格200速比",{"name":380,"note":538},"宝鸡，减速器精密加工装备与工艺",{"name":540,"note":541},"西安微电机研究所有限公司","西安，减速器配套电机与驱动",{"name":294,"risk":265,"type":462,"status":495,"experts":543,"policies":545,"progress":549,"companies":550,"policy_support":197},[544],{"org":93,"raw":269,"name":95,"note":197,"title":270},[546],{"raw":547,"date":197,"name":277,"doc_no":197,"issuer":278,"summary":548},"《人形机器人与具身智能标准体系（2026版）》（工业和信息化部（人形机器人与具身智能标准化技术委员会），2026-02）：标准体系将六维力\u002F力矩传感器列为重点标准研制方向","标准体系将六维力\u002F力矩传感器列为重点标准研制方向","国际标杆:德国ATI、美国OnRobot、日本BL Autotech。国产蓝点触控国内人形份额约72.6%、坤维科技广义约53%,国产化率约57-75%,但温漂、过载与标定一致性仍需追赶ATI。",[551,552,553,554,555,556,557,558,559,560,561,563,565,567],{"name":93,"note":291},{"name":290,"note":291},{"name":293,"note":294},{"name":296,"note":297},{"name":299,"note":300},{"name":302,"note":303},{"name":305,"note":306},{"name":308,"note":309},{"name":311,"note":312},{"name":314,"note":315},{"name":317,"note":562},"宝鸡，力传感器与智能测控",{"name":320,"note":564},"西安，多维触觉与力感知芯片",{"name":323,"note":566},"宝鸡，航空级力与惯性传感器",{"name":326,"note":568},"西安，精密力测量仪器",{"name":570,"risk":265,"type":462,"status":495,"experts":571,"policies":572,"progress":576,"companies":577,"policy_support":197},"高功率密度无框力矩电机\u002F空心杯电机",[],[573],{"raw":574,"date":197,"name":277,"doc_no":197,"issuer":278,"summary":575},"《人形机器人与具身智能标准体系（2026版）》（工业和信息化部（人形机器人与具身智能标准化技术委员会），2026-02）：标准体系覆盖高功率密度电机等核心部件标准方向","标准体系覆盖高功率密度电机等核心部件标准方向","国际标杆:瑞士Maxon、德国Faulhaber、美国Kollmorgen。国产鸣志电器、步科等跟跑,空心杯电机绕组工艺与功率密度存在代差,高端仍依赖进口。",[578,581,584,587,590,593,594,597,600,603,606,609,611,614],{"name":579,"note":580},"鸣志电器","空心杯电机、混合式步进电机",{"name":582,"note":583},"步科股份","无框力矩电机与伺服系统",{"name":585,"note":586},"江苏雷利","微特电机",{"name":588,"note":589},"兆威机电","微型驱动系统",{"name":591,"note":592},"雷赛智能","运动控制与伺服",{"name":365,"note":366},{"name":595,"note":596},"汇川技术","伺服系统与电机控制",{"name":598,"note":599},"埃斯顿","伺服电机与工业机器人",{"name":601,"note":602},"maxon","瑞士，空心杯\u002F微特电机标杆",{"name":604,"note":605},"Faulhaber","德国，空心杯微电机",{"name":607,"note":608},"西安精动微电机有限公司","西安，空心杯电机、关节模组电机，已获3万余套订单",{"name":540,"note":610},"西安，无框力矩电机与伺服电机研制",{"name":612,"note":613},"西安中科阿尔法电子科技有限公司","西安，电机驱动与控制芯片",{"name":615,"note":616},"陕西电子信息集团有限公司","西安，电机电控配套电子器件",{"name":618,"risk":265,"type":462,"status":495,"experts":619,"policies":633,"progress":645,"companies":646,"policy_support":197},"具身大模型\u002F运动控制算法(大脑+小脑)",[620,623,626,627,630],{"org":64,"raw":621,"name":66,"note":197,"title":622},"王鹤（北京大学前沿计算研究中心 \u002F 银河通用机器人），具身智能大模型（大脑方向）","具身智能大模型（大脑方向）",{"org":81,"raw":624,"name":83,"note":197,"title":625},"陈建宇（清华大学交叉信息研究院 \u002F 星动纪元），人形机器人与运动控制（小脑方向）","人形机器人与运动控制（小脑方向）",{"org":70,"raw":394,"name":72,"note":197,"title":395},{"org":181,"raw":628,"name":173,"note":197,"title":629},"黄攀峰（西北工业大学），机器人自主控制与智能决策研究","机器人自主控制与智能决策研究",{"org":166,"raw":631,"name":168,"note":197,"title":632},"梅雪松（西安交通大学），机器人运动控制与智能装备研究","机器人运动控制与智能装备研究",[634,637,640],{"raw":635,"date":406,"name":407,"doc_no":197,"issuer":408,"summary":636},"《关于深入实施“人工智能+”行动的意见》（国务院，2025-08）：支持大模型与智能机器人融合创新，发展具身智能“大脑+小脑”技术体系","支持大模型与智能机器人融合创新，发展具身智能“大脑+小脑”技术体系",{"raw":638,"date":468,"name":469,"doc_no":197,"issuer":283,"summary":639},"《2026年工业和信息化领域创新任务揭榜挂帅》（工业和信息化部等七部门，2026-07）：围绕人形机器人等方向组织揭榜挂帅，支持具身大模型与运动控制攻关","围绕人形机器人等方向组织揭榜挂帅，支持具身大模型与运动控制攻关",{"raw":641,"date":642,"name":643,"doc_no":197,"issuer":408,"summary":644},"《制造业数字化转型行动方案》（国务院，2024-05）：推进人工智能赋能，支持智能机器人算法与软件创新","2024-05","制造业数字化转型行动方案","推进人工智能赋能，支持智能机器人算法与软件创新","国际标杆:美国Figure(Helix)、Google RT-2、Tesla Optimus FSD\u002F自动驾驶迁移。国产智元、银河通用、宇树等快速迭代,开源模型活跃,但泛化操作能力与数据闭环仍处早期。",[647,649,651,653,655,657,659,661,663,665,668,670,672],{"name":424,"note":648},"具身大模型与通用机器人",{"name":145,"note":650},"具身基座大模型与本体协同",{"name":427,"note":652},"基础模型与运动控制",{"name":134,"note":654},"运动控制算法与强化学习",{"name":140,"note":656},"人形机器人运动控制与具身智能大脑",{"name":438,"note":658},"通用具身智能平台",{"name":441,"note":660},"具身智能与运动控制研究",{"name":444,"note":662},"机器人学习与运动控制研究",{"name":161,"note":664},"云端机器人大脑与运动控制",{"name":666,"note":667},"云深处科技","四足机器人运动控制算法",{"name":326,"note":669},"西安，具身智能视觉与自主决策算法",{"name":454,"note":671},"咸阳，机器视觉驱动的运动控制方案",{"name":673,"note":674},"西安中科天塔科技股份有限公司","西安，航天大模型技术迁移应用",{"name":676,"risk":265,"type":462,"status":495,"experts":677,"policies":684,"progress":697,"companies":698,"policy_support":197},"端侧AI算力芯片\u002F控制器",[678,681],{"org":87,"raw":679,"name":89,"note":197,"title":680},"高文（中国工程院 \u002F 鹏城实验室），人工智能与算力基础设施","人工智能与算力基础设施",{"org":166,"raw":682,"name":401,"note":683,"title":109},"郑南宁（西安交通大学），中国工程院院士，智能感知与计算研究","智能感知与计算研究",[685,688,691],{"raw":686,"date":412,"name":413,"doc_no":197,"issuer":252,"summary":687},"《具身智能基准测试方法（YD\u002FT 6770—2026）》（工业和信息化部，2026-03）：规范具身智能系统基准测试与评价方法，对端侧算力平台提出测试要求","规范具身智能系统基准测试与评价方法，对端侧算力平台提出测试要求",{"raw":689,"date":468,"name":469,"doc_no":197,"issuer":283,"summary":690},"《2026年工业和信息化领域创新任务揭榜挂帅》（工业和信息化部等七部门，2026-07）：支持端侧AI算力芯片与控制器等关键环节攻关","支持端侧AI算力芯片与控制器等关键环节攻关",{"raw":692,"date":693,"name":694,"doc_no":197,"issuer":695,"summary":696},"《算力基础设施高质量发展行动计划》（工业和信息化部等六部门，2023-10）：提升智能算力供给能力，支撑大模型与机器人智能计算","2023-10","算力基础设施高质量发展行动计划","工业和信息化部等六部门","提升智能算力供给能力，支撑大模型与机器人智能计算","国际标杆:英伟达Jetson Thor\u002FOrin、高通Robotics。国产瑞芯微、地平线、寒武纪跟进,但高算力低功耗机器人SoC与生态工具链仍依赖英伟达。",[699,702,705,708,711,714,717,720,723,726,729,731,733,735],{"name":700,"note":701},"地瓜机器人","旭日系列机器人端侧AI芯片",{"name":703,"note":704},"瑞芯微","RK3588\u002FRK3688等机器人主控芯片",{"name":706,"note":707},"黑芝麻智能","车规级\u002F具身智能AI芯片",{"name":709,"note":710},"地平线","端侧智能计算方案",{"name":712,"note":713},"曦选创智","沐曦与优必选合资，具身智能算力方案",{"name":715,"note":716},"英伟达","Jetson机器人计算平台",{"name":718,"note":719},"寒武纪","AI芯片与智能计算",{"name":721,"note":722},"爱芯元智","端侧AI视觉芯片",{"name":724,"note":725},"算能科技","AI算力芯片与模组",{"name":727,"note":728},"全志科技","智能应用处理器",{"name":612,"note":730},"西安，磁传感器SOC与编码器芯片",{"name":615,"note":732},"西安，嵌入式控制器件与系统配套",{"name":320,"note":734},"西安，感算一体智能芯片",{"name":457,"note":736},"西安，端侧AI算法研究",{"notes":738,"pattern":742},[739,740,741],"2025年底成立工信部人形机器人与具身智能标准化技术委员会","绿的谐波\u002F汇川\u002F兆威等零部件国产替代加速","优必选为港股唯一上市人形整机标的","中国在整机数量与供应链完整度处全球第一梯队，但在通用具身大模型、高精度丝杠\u002F六维力传感器、量产成本上仍处爬坡。","未来制造（具身智能、人形机器人）","GESTATION","具身智能\u002F人形机器人\u002F具身大模型为2018年后新概念，未单列；机器人本体制造归入2.1.1机器人与增材设备制造。",[747],"高端装备制造产业 → 2.1 智能制造装备产业 → 2.1.1 机器人与增材设备制造(3491工业机器人\u002F3492特殊作业机器人)",[749,750,751,752,753,754,755,756,757],{"risk":265,"tech":264,"type":197,"status":266,"bottleneck":261,"domestic_status":285},{"risk":265,"tech":329,"type":197,"status":266,"bottleneck":261,"domestic_status":344},{"risk":265,"tech":387,"type":388,"status":266,"bottleneck":261,"domestic_status":421},{"risk":265,"tech":461,"type":462,"status":463,"bottleneck":261,"domestic_status":471},{"risk":265,"tech":494,"type":462,"status":495,"bottleneck":261,"domestic_status":504},{"risk":265,"tech":294,"type":462,"status":495,"bottleneck":261,"domestic_status":549},{"risk":265,"tech":570,"type":462,"status":495,"bottleneck":261,"domestic_status":576},{"risk":265,"tech":618,"type":462,"status":495,"bottleneck":261,"domestic_status":645},{"risk":265,"tech":676,"type":462,"status":495,"bottleneck":261,"domestic_status":697},[759,762,765,768,774,777,782,788,794,800,803,807,810,813,819,824,827,833,836,839,845,849,854],{"raw":760,"date":406,"name":407,"doc_no":197,"issuer":408,"summary":761},"《关于深入实施“人工智能+”行动的意见》（国务院，2025-08）：部署推动人工智能与经济社会各领域深度融合，培育智能机器人等新一代智能终端，加快具身智能等新赛道布局","部署推动人工智能与经济社会各领域深度融合，培育智能机器人等新一代智能终端，加快具身智能等新赛道布局",{"raw":763,"date":197,"name":277,"doc_no":197,"issuer":278,"summary":764},"《人形机器人与具身智能标准体系（2026版）》（工业和信息化部（人形机器人与具身智能标准化技术委员会），2026-02）：系统构建人形机器人与具身智能标准体系，明确重点标准研制方向与路线图","系统构建人形机器人与具身智能标准体系，明确重点标准研制方向与路线图",{"raw":766,"date":412,"name":413,"doc_no":197,"issuer":252,"summary":767},"《具身智能基准测试方法（YD\u002FT 6770—2026）》（工业和信息化部，2026-03）：我国具身智能领域首份行业标准，规范具身智能系统基准测试与评价方法","我国具身智能领域首份行业标准，规范具身智能系统基准测试与评价方法",{"raw":769,"date":770,"name":771,"doc_no":197,"issuer":772,"summary":773},"《2026年度人形机器人与具身智能实景实训专项行动》（工业和信息化部办公厅、国务院国有资产监督管理委员会办公厅，2026-06）：工信厅联科函〔2026〕256号，组织人形机器人与具身智能产品在真实场景开展实景实训，推动技术迭代与规模化应用","2026-06","2026年度人形机器人与具身智能实景实训专项行动","工业和信息化部办公厅、国务院国有资产监督管理委员会办公厅","工信厅联科函〔2026〕256号，组织人形机器人与具身智能产品在真实场景开展实景实训，推动技术迭代与规模化应用",{"raw":775,"date":468,"name":469,"doc_no":197,"issuer":283,"summary":776},"《2026年工业和信息化领域创新任务揭榜挂帅》（工业和信息化部等七部门，2026-07）：围绕人形机器人等未来产业方向组织揭榜挂帅，加快关键核心技术攻关与成果转化","围绕人形机器人等未来产业方向组织揭榜挂帅，加快关键核心技术攻关与成果转化",{"raw":778,"date":412,"name":779,"doc_no":197,"issuer":780,"summary":781},"《中华人民共和国国民经济和社会发展第十五个五年规划纲要》（全国人民代表大会，2026-03）：前瞻布局未来产业，将具身智能、人形机器人等列为新赛道重点培育方向","中华人民共和国国民经济和社会发展第十五个五年规划纲要","全国人民代表大会","前瞻布局未来产业，将具身智能、人形机器人等列为新赛道重点培育方向",{"raw":783,"date":784,"name":785,"doc_no":197,"issuer":786,"summary":787},"《中共中央 国务院关于发展新质生产力的意见》（中共中央、国务院，2026-10）：从科技创新、产业创新、发展方式创新等五方面提出19项举措，前瞻布局具身智能等未来产业","2026-10","中共中央 国务院关于发展新质生产力的意见","中共中央、国务院","从科技创新、产业创新、发展方式创新等五方面提出19项举措，前瞻布局具身智能等未来产业",{"raw":789,"date":790,"name":791,"doc_no":197,"issuer":792,"summary":793},"《杭州市具身智能机器人“强链补链”行动方案（2026—2027年）》（杭州市经济和信息化局，2025-12）：围绕具身智能机器人产业链开展强链补链，支持整机与核心零部件企业协同攻关","2025-12","杭州市具身智能机器人“强链补链”行动方案（2026—2027年）","杭州市经济和信息化局","围绕具身智能机器人产业链开展强链补链，支持整机与核心零部件企业协同攻关",{"raw":795,"date":796,"name":797,"doc_no":197,"issuer":798,"summary":799},"《苏州市支持具身智能机器人产业创新发展的若干措施》（苏州市人民政府，2025-04）：从技术攻关、场景开放、企业培育等方面支持具身智能机器人产业创新发展","2025-04","苏州市支持具身智能机器人产业创新发展的若干措施","苏州市人民政府","从技术攻关、场景开放、企业培育等方面支持具身智能机器人产业创新发展",{"raw":801,"date":406,"name":407,"doc_no":197,"issuer":408,"summary":802},"《关于深入实施“人工智能+”行动的意见》（国务院，2025-08）：部署“人工智能+”六大重点行动，推动具身智能等新一代智能终端与智能体发展","部署“人工智能+”六大重点行动，推动具身智能等新一代智能终端与智能体发展",{"raw":804,"date":249,"name":805,"doc_no":197,"issuer":252,"summary":806},"《人形机器人创新发展指导意见》（工业和信息化部，2023-11）：提出到2025年初步建立创新体系，培育2—3家有全球影响力的生态型企业","人形机器人创新发展指导意见","提出到2025年初步建立创新体系，培育2—3家有全球影响力的生态型企业",{"raw":808,"date":255,"name":282,"doc_no":197,"issuer":283,"summary":809},"《关于推动未来产业创新发展的实施意见》（工业和信息化部等七部门，2024-01）：将人形机器人列为未来产业标志性产品，打造未来制造等新赛道","将人形机器人列为未来产业标志性产品，打造未来制造等新赛道",{"raw":811,"date":417,"name":418,"doc_no":197,"issuer":419,"summary":812},"《国家人工智能产业综合标准化体系建设指南（2024版）》（工业和信息化部等四部门，2024-06）：完善人工智能标准体系，覆盖大模型、具身智能等新业态的标准化需求","完善人工智能标准体系，覆盖大模型、具身智能等新业态的标准化需求",{"raw":814,"date":815,"name":816,"doc_no":197,"issuer":817,"summary":818},"《产业结构调整指导目录（2024年本）》（国家发展改革委，2023-12）：将智能机器人及关键零部件等列为鼓励类，引导资源投向高端制造","2023-12","产业结构调整指导目录（2024年本）","国家发展改革委","将智能机器人及关键零部件等列为鼓励类，引导资源投向高端制造",{"raw":820,"date":821,"name":822,"doc_no":197,"issuer":408,"summary":823},"《2025年政府工作报告》（国务院，2025-03）：提出培育具身智能等未来产业，建立未来产业投入增长机制","2025-03","2025年政府工作报告","提出培育具身智能等未来产业，建立未来产业投入增长机制",{"raw":825,"date":334,"name":335,"doc_no":197,"issuer":336,"summary":826},"《“机器人+”应用行动实施方案》（工业和信息化部等十七部门，2023-01）：推动机器人在制造、服务、特种等领域应用，制造业机器人密度翻番","推动机器人在制造、服务、特种等领域应用，制造业机器人密度翻番",{"raw":828,"date":829,"name":830,"doc_no":197,"issuer":831,"summary":832},"《“十四五”机器人产业发展规划》（工业和信息化部等十五部门，2021-12）：提出机器人产业营业收入年均增速超过20%，做强整机与关键零部件","2021-12","“十四五”机器人产业发展规划","工业和信息化部等十五部门","提出机器人产业营业收入年均增速超过20%，做强整机与关键零部件",{"raw":834,"date":642,"name":643,"doc_no":197,"issuer":408,"summary":835},"《制造业数字化转型行动方案》（国务院，2024-05）：国务院常务会议审议通过，推进人工智能赋能新型工业化与制造业转型","国务院常务会议审议通过，推进人工智能赋能新型工业化与制造业转型",{"raw":837,"date":693,"name":694,"doc_no":197,"issuer":695,"summary":838},"《算力基础设施高质量发展行动计划》（工业和信息化部等六部门，2023-10）：提升智能算力供给能力，支撑大模型与智能机器人训练需求","提升智能算力供给能力，支撑大模型与智能机器人训练需求",{"raw":840,"date":841,"name":842,"doc_no":197,"issuer":843,"summary":844},"《关于加快场景创新以人工智能高水平应用促进经济高质量发展的指导意见》（科技部等六部门，2022-08）：推动人工智能场景创新，支持智能机器人等重大应用场景示范","2022-08","关于加快场景创新以人工智能高水平应用促进经济高质量发展的指导意见","科技部等六部门","推动人工智能场景创新，支持智能机器人等重大应用场景示范",{"raw":846,"date":642,"name":847,"doc_no":197,"issuer":342,"summary":848},"《陕西省机器人产业链提升方案（2024—2027年）》（陕西省工业和信息化厅，2024-05）：以减速器、伺服电机、传感器等核心部件为突破口，壮大机器人本体与系统集成企业，打造机器人产业高地","陕西省机器人产业链提升方案（2024—2027年）","以减速器、伺服电机、传感器等核心部件为突破口，壮大机器人本体与系统集成企业，打造机器人产业高地",{"raw":850,"date":851,"name":852,"doc_no":197,"issuer":342,"summary":853},"《陕西省加快具身智能机器人产业高质量创新发展行动方案（2026—2030年）》（征求意见稿）（陕西省工业和信息化厅，2026-01）：面向具身智能与人形机器人，部署核心部件攻关、本体培育与场景开放任务，构建全产业链创新体系","2026-01","陕西省加快具身智能机器人产业高质量创新发展行动方案（2026—2030年）","面向具身智能与人形机器人，部署核心部件攻关、本体培育与场景开放任务，构建全产业链创新体系",{"raw":855,"date":856,"name":857,"doc_no":197,"issuer":858,"summary":859},"《西安高新区抢抓具身智能产业机遇培育产业新优势三年行动计划（2026—2028年）》（西安高新技术产业开发区管委会，2026-04）：设立具身智能专项资金与产业基金，主攻人形机器人整机、核心零部件与大模型，目标百亿级产业规模","2026-04","西安高新区抢抓具身智能产业机遇培育产业新优势三年行动计划（2026—2028年）","西安高新技术产业开发区管委会","设立具身智能专项资金与产业基金，主攻人形机器人整机、核心零部件与大模型，目标百亿级产业规模",{"note":861,"sources":862,"value_add":865},"按整机BOM价值量拆分,不同机构口径(麦肯锡:执行器40-60%、感知10-20%;东方财富:关节模组40-60%、传动15-30%、传感8-15%、控制5-10%)存在差异,取区间值。",[863,864],"https:\u002F\u002Fcms.interestingengineering.com\u002Fwp-content\u002Fuploads\u002F2026\u002F07\u002FThe-Humanoid-Robot-Reality-Check.pdf","https:\u002F\u002Fpdf.dfcfw.com\u002Fpdf\u002FH3_AP202606231823779119_1.pdf",[866,870,874,878],{"share":867,"stage":868,"margin":869},"约45-55%","执行器\u002F关节模组(减速器+丝杠+电机)","毛利率30-40%,量最大",{"share":871,"stage":872,"margin":873},"约10-15%","传感器(3D视觉\u002F六维力\u002F触觉)","毛利率35-50%,壁垒高",{"share":875,"stage":876,"margin":877},"约12-18%","控制器\u002F芯片\u002F具身大模型与软件","毛利率50%+,价值最高",{"share":871,"stage":879,"margin":880},"本体集成\u002F结构件\u002F整机制造","毛利率10-20%,偏制造",[882,887,892,897,902,907,911,915],{"scale":883,"layout":884,"region":885,"feature":886},"占全国整机出货约60%+","上海张江\u002F临港、杭州、苏州、宁波","长三角(上海\u002F杭州\u002F苏州\u002F宁波)","智元(上海)、宇树(杭州)、供应链集中",{"scale":888,"layout":889,"region":890,"feature":891},"整机+零部件重镇","深圳、东莞","大湾区(深圳\u002F东莞)","优必选(深圳)、核心零部件与硬件制造",{"scale":893,"layout":894,"region":895,"feature":896},"具身大模型\u002F本体创业集中","北京经开区(具身智能十条)","京津冀(北京)","银河通用等具身大脑公司、政策支持",{"scale":898,"layout":899,"region":900,"feature":901},"工业机器人\u002F特种机器人基地","沈阳","东北(沈阳)","新松机器人等工业机器人底盘",{"scale":903,"layout":904,"region":905,"feature":906},"配套与场景应用","重庆、成都、西安","中部\u002F西部","减速器\u002F结构件配套、工业与特种场景",{"layout":908,"region":909,"feature":910},"深圳\u002F广州","粤港澳大湾区","整机龙头+核心零部件全链",{"layout":912,"region":913,"feature":914},"上海\u002F苏州\u002F杭州","上海\u002F长三角","新势力整机+具身大脑",{"layout":916,"region":221,"feature":917},"北京海淀\u002F亦庄","具身大模型+新势力整机","VERIFIED",1,"2026-10-09T13:20:56.387Z","2026-10-12T14:28:51.567Z",[923,992,1087,1156,1220,1280,1352,1408,1472],{"id":924,"chainId":4,"layer":925,"segment":47,"name":47,"keyPoints":926,"companies":927,"sortOrder":960,"isKey":261,"checkState":918,"meta":961,"createdAt":990,"links":991},"cnH_F05_01","上游","伺服电机 减速器(行星滚柱丝杠\u002FRV) 传感器 控制器",[928,931,933,934,936,938,940,943,946,948,950,952,954,956,958],{"name":929,"note":930},"绿的谐波","谐波减速器龙头",{"name":507,"note":932},"子公司环动科技，RV减速器\u002F齿轮",{"name":347,"note":348},{"name":350,"note":935},"线性驱动器、精密丝杠\u002F电动缸",{"name":579,"note":937},"空心杯电机、步进伺服",{"name":305,"note":939},"力传感器及智能测控",{"name":941,"note":942},"三花智控","热管理龙头，布局机器人机电执行器",{"name":944,"note":945},"拓普集团","汽车零部件龙头，布局机器人执行器",{"name":510,"note":947},"减速器与智能执行单元",{"name":365,"note":949},"线性执行器与混合式步进电机",{"name":383,"note":951},"宝鸡，RV减速器，陕西省机器人产业链链主",{"name":607,"note":953},"西安沣东新城，空心杯电机与关节模组电机",{"name":317,"note":955},"宝鸡，压力传感器，年产300万台",{"name":320,"note":957},"西安，电子皮肤与智能感知芯片",{"name":612,"note":959},"西安，磁传感器与编码器SOC芯片",0,{"source":55,"experts":962,"policies":967,"chainCode":26,"aggregationZones":975},[963,964],{"org":93,"raw":269,"name":95,"note":197,"title":270},{"org":58,"raw":965,"name":60,"note":197,"title":966},"王田苗（北京航空航天大学机器人研究所），机器人技术与产业化","机器人技术与产业化",[968,969,972],{"raw":763,"date":197,"name":277,"doc_no":197,"issuer":278,"summary":764},{"raw":970,"date":770,"name":771,"doc_no":197,"issuer":772,"summary":971},"《2026年度人形机器人与具身智能实景实训专项行动》（工业和信息化部办公厅、国务院国有资产监督管理委员会办公厅，2026-06）：组织人形机器人与具身智能产品在真实场景开展实景实训，推动核心部件迭代验证","组织人形机器人与具身智能产品在真实场景开展实景实训，推动核心部件迭代验证",{"raw":973,"date":815,"name":816,"doc_no":197,"issuer":817,"summary":974},"《产业结构调整指导目录（2024年本）》（国家发展改革委，2023-12）：智能机器人及关键零部件列入鼓励类产业目录","智能机器人及关键零部件列入鼓励类产业目录",[976,978,980,982,984,986,988],{"city":191,"name":192,"note":977,"level":193},"省级中小企业特色产业集群，压力传感器及工业传感器企业集聚",{"city":195,"name":196,"note":979,"level":197},"（上海 · 市级）：机器人整机与具身智能企业集聚，覆盖约六成产业链环节",{"city":199,"name":200,"note":981,"level":201},"工业协作机器人国家级特色集群，核心零部件配套完整",{"city":203,"name":204,"note":983,"level":197},"（苏州 · 省级）：机器人+人工智能全链条，服务机器人产量占全国六成",{"city":206,"name":207,"note":985,"level":197},"具身智能机器人特色集群（杭州 · 国家级）：国家级中小企业特色产业集群，整机及零部件企业集聚",{"city":209,"name":210,"note":987,"level":193},"浙江省特色小镇，聚焦智能机器人核心零部件",{"city":212,"name":213,"note":989,"level":197},"（芜湖 · 国家级）：埃夫特等整机及核心零部件企业集聚，全国首个国家级集聚区","2026-10-12T14:28:51.581Z",[],{"id":993,"chainId":4,"layer":994,"segment":995,"name":995,"keyPoints":996,"companies":997,"sortOrder":919,"isKey":1043,"checkState":918,"meta":1044,"createdAt":1085,"links":1086},"cnH_F05_02","中游","机器人本体","人形机器人本体 机械臂 灵巧手 双足\u002F四足",[998,1000,1002,1004,1006,1008,1010,1013,1016,1019,1022,1025,1027,1030,1032,1034,1037,1040],{"name":134,"note":999},"Unitree，人形机器人H1\u002FG1及四足机器人",{"name":145,"note":1001},"Agibot，远征系列通用人形机器人",{"name":140,"note":1003},"UBTECH，Walker系列人形机器人，港交所上市",{"name":156,"note":1005},"Fourier，通用人形机器人GR系列",{"name":151,"note":1007},"“夸父”人形机器人，与华为合作",{"name":424,"note":1009},"Galbot，具身大模型驱动的通用机器人",{"name":1011,"note":1012},"新松机器人","国产机器人本体龙头，工业与服务机器人",{"name":1014,"note":1015},"星动纪元","清华大学团队创立，人形机器人",{"name":1017,"note":1018},"松延动力","人形机器人本体，Noetix",{"name":1020,"note":1021},"开普勒机器人","上海，先行者系列人形机器人",{"name":1023,"note":1024},"众擎机器人","深圳，人形机器人本体",{"name":161,"note":1026},"云端智能机器人与人形机器人",{"name":1028,"note":1029},"小鹏汽车","车企入局，IRON人形机器人",{"name":326,"note":1031},"西安，具身智能焊接\u002F测量\u002F特种机器人",{"name":454,"note":1033},"咸阳高新区，立体视觉与机器人整机",{"name":1035,"note":1036},"陕西天捷创科智能科技有限公司","西安，工业机器人与自动化装备",{"name":1038,"note":1039},"西安誉博机器人系统技术有限公司","西安，特种机器人本体与系统",{"name":1041,"note":1042},"陕西欧卡电子智能科技有限公司","西安，水面清洁与服务机器人",false,{"source":55,"experts":1045,"policies":1057,"chainCode":26,"aggregationZones":1070},[1046,1049,1052,1053,1054],{"org":64,"raw":1047,"name":66,"note":197,"title":1048},"王鹤（北京大学前沿计算研究中心 \u002F 银河通用机器人），具身智能大模型与通用机器人","具身智能大模型与通用机器人",{"org":81,"raw":1050,"name":83,"note":197,"title":1051},"陈建宇（清华大学交叉信息研究院 \u002F 星动纪元），人形机器人与强化学习","人形机器人与强化学习",{"org":134,"raw":135,"name":136,"note":137,"title":138},{"org":140,"raw":141,"name":142,"note":143,"title":97},{"org":166,"raw":1055,"name":168,"note":197,"title":1056},"梅雪松（西安交通大学），智能机器人技术研究","智能机器人技术研究",[1058,1061,1064,1067],{"raw":1059,"date":770,"name":771,"doc_no":197,"issuer":772,"summary":1060},"《2026年度人形机器人与具身智能实景实训专项行动》（工业和信息化部办公厅、国务院国有资产监督管理委员会办公厅，2026-06）：组织人形机器人与具身智能产品在真实场景开展实景实训，推动整机产品迭代与落地","组织人形机器人与具身智能产品在真实场景开展实景实训，推动整机产品迭代与落地",{"raw":1062,"date":468,"name":469,"doc_no":197,"issuer":283,"summary":1063},"《2026年工业和信息化领域创新任务揭榜挂帅》（工业和信息化部等七部门，2026-07）：围绕人形机器人等未来产业方向组织揭榜挂帅，加快整机与关键核心技术攻关","围绕人形机器人等未来产业方向组织揭榜挂帅，加快整机与关键核心技术攻关",{"raw":1065,"date":249,"name":805,"doc_no":197,"issuer":252,"summary":1066},"《人形机器人创新发展指导意见》（工业和信息化部，2023-11）：提出到2025年初步建立创新体系，培育生态型企业","提出到2025年初步建立创新体系，培育生态型企业",{"raw":1068,"date":255,"name":282,"doc_no":197,"issuer":283,"summary":1069},"《关于推动未来产业创新发展的实施意见》（工业和信息化部等七部门，2024-01）：人形机器人列为未来产业标志性产品","人形机器人列为未来产业标志性产品",[1071,1073,1075,1077,1079,1081,1083],{"city":215,"name":216,"note":1072,"level":193},"位于西咸新区沣东新城，机器人产业链企业超100家",{"city":195,"name":196,"note":1074,"level":197},"（上海 · 市级）：智元、傅利叶等整机企业集聚，量产环境成熟",{"city":218,"name":219,"note":1076,"level":197},"（深圳 · 市级）：集聚超200家机器人产业链企业，整机与零部件协同",{"city":221,"name":222,"note":1078,"level":201},"人形机器人等具身智能企业300余家，场景开放领先",{"city":206,"name":207,"note":1080,"level":197},"具身智能机器人特色集群（杭州 · 国家级）：国家级中小企业特色产业集群，整机企业集聚",{"city":224,"name":225,"note":1082,"level":197},"（沈阳 · 国家级）：新松机器人等企业集聚，机器人研发制造基地",{"city":212,"name":213,"note":1084,"level":197},"（芜湖 · 国家级）：埃夫特超级工厂等整机及配套企业集聚","2026-10-12T14:28:51.587Z",[],{"id":1088,"chainId":4,"layer":994,"segment":1089,"name":1089,"keyPoints":1090,"companies":1091,"sortOrder":1127,"isKey":261,"checkState":918,"meta":1128,"createdAt":1154,"links":1155},"cnH_F05_03","感知与AI大脑","视觉\u002F力觉\u002F六维力传感器 大模型具身智能 VLA",[1092,1095,1098,1100,1103,1105,1108,1111,1114,1116,1119,1121,1123,1125],{"name":1093,"note":1094},"奥比中光","3D视觉感知传感器",{"name":1096,"note":1097},"速腾聚创","激光雷达与感知方案",{"name":709,"note":1099},"端侧AI芯片与智能计算方案",{"name":1101,"note":1102},"商汤科技","大模型与具身智能平台",{"name":424,"note":1104},"端到端具身大模型GraspVLA",{"name":1106,"note":1107},"百度","文心大模型与具身智能研究",{"name":1109,"note":1110},"科大讯飞","星火大模型与机器人超脑平台",{"name":1112,"note":1113},"旷视科技","AI视觉与物流机器人",{"name":1115,"note":1097},"禾赛科技",{"name":1117,"note":1118},"思岚科技","SLAM导航与激光雷达",{"name":326,"note":1120},"西安，智能视觉终端与自主规划",{"name":454,"note":1122},"咸阳，立体视觉传感器与3D视觉方案",{"name":320,"note":1124},"西安，智能感知芯片与电子皮肤",{"name":457,"note":1126},"西安，机器视觉研究",2,{"source":55,"experts":1129,"policies":1135,"chainCode":26,"aggregationZones":1143},[1130,1131,1132],{"org":87,"raw":679,"name":89,"note":197,"title":680},{"org":64,"raw":391,"name":66,"note":197,"title":392},{"org":166,"raw":1133,"name":401,"note":1134,"title":109},"郑南宁（西安交通大学），中国工程院院士，计算机视觉与智能控制专家","计算机视觉与智能控制专家",[1136,1139,1140],{"raw":1137,"date":406,"name":407,"doc_no":197,"issuer":408,"summary":1138},"《关于深入实施“人工智能+”行动的意见》（国务院，2025-08）：推动人工智能与实体经济深度融合，培育智能机器人等新一代智能终端","推动人工智能与实体经济深度融合，培育智能机器人等新一代智能终端",{"raw":766,"date":412,"name":413,"doc_no":197,"issuer":252,"summary":767},{"raw":1141,"date":417,"name":418,"doc_no":197,"issuer":419,"summary":1142},"《国家人工智能产业综合标准化体系建设指南（2024版）》（工业和信息化部等四部门，2024-06）：覆盖大模型、具身智能等新业态标准化需求","覆盖大模型、具身智能等新业态标准化需求",[1144,1146,1148,1150,1152],{"city":227,"name":228,"note":1145,"level":197},"（北京 · 国家级）：具身大模型、AI芯片与算法企业密集，银河通用等集聚",{"city":195,"name":196,"note":1147,"level":197},"（上海 · 市级）：具身大模型与机器人视觉感知企业协同布局",{"city":218,"name":219,"note":1149,"level":197},"（深圳 · 市级）：速腾聚创、奥比中光等感知企业集聚",{"city":230,"name":231,"note":1151,"level":197},"（武汉 · 国家级）：激光雷达、传感器与人工智能企业集聚",{"city":206,"name":207,"note":1153,"level":197},"具身智能机器人特色集群（杭州 · 国家级）：视觉感知与智能算法企业集聚","2026-10-12T14:28:51.593Z",[],{"id":1157,"chainId":4,"layer":994,"segment":1158,"name":1158,"keyPoints":1159,"companies":1160,"sortOrder":1194,"isKey":261,"checkState":918,"meta":1195,"createdAt":1218,"links":1219},"cnH_F05_04","关节执行器","旋转\u002F直线关节 一体化关节 执行器",[1161,1163,1165,1167,1170,1172,1174,1176,1178,1180,1182,1185,1187,1189,1191],{"name":588,"note":1162},"微型驱动系统与灵巧手",{"name":579,"note":1164},"空心杯电机、伺服电机",{"name":929,"note":1166},"机电一体化关节模组",{"name":1168,"note":1169},"禾川科技","伺服系统与运动控制",{"name":582,"note":1171},"伺服驱动与低压变频",{"name":941,"note":1173},"机器人机电执行器布局",{"name":944,"note":1175},"机器人电驱执行器布局",{"name":585,"note":1177},"微特电机与执行组件",{"name":365,"note":1179},"线性执行器与丝杠电机",{"name":591,"note":1181},"运动控制与伺服系统",{"name":1183,"note":1184},"伟创电气","伺服驱动与运动控制",{"name":383,"note":1186},"宝鸡，机器人关节减速器与执行器模组",{"name":607,"note":1188},"西安，空心杯电机与灵巧手电机模组",{"name":540,"note":1190},"西安，微特电机与伺服驱动研制",{"name":1192,"note":1193},"陕西奉航科技有限责任公司","兴平，精密密封与关节部件配套",3,{"source":55,"experts":1196,"policies":1200,"chainCode":26,"aggregationZones":1207},[1197],{"org":166,"raw":1198,"name":168,"note":197,"title":1199},"梅雪松（西安交通大学），机器人关节驱动与运动控制研究","机器人关节驱动与运动控制研究",[1201,1204],{"raw":1202,"date":197,"name":277,"doc_no":197,"issuer":278,"summary":1203},"《人形机器人与具身智能标准体系（2026版）》（工业和信息化部（人形机器人与具身智能标准化技术委员会），2026-02）：系统构建标准体系，覆盖关节执行器等核心部件标准研制方向","系统构建标准体系，覆盖关节执行器等核心部件标准研制方向",{"raw":1205,"date":815,"name":816,"doc_no":197,"issuer":817,"summary":1206},"《产业结构调整指导目录（2024年本）》（国家发展改革委，2023-12）：智能机器人关键零部件列入鼓励类目录","智能机器人关键零部件列入鼓励类目录",[1208,1210,1212,1214,1216],{"city":199,"name":200,"note":1209,"level":201},"纳博特斯克、恒立精密等执行器与传动部件集聚",{"city":203,"name":204,"note":1211,"level":197},"（苏州 · 省级）：绿的谐波等机电一体化关节模组企业集聚",{"city":209,"name":210,"note":1213,"level":193},"精密减速器、末端执行器等关键零部件集聚",{"city":212,"name":213,"note":1215,"level":197},"（芜湖 · 国家级）：伺服驱动与关节执行部件配套企业集聚",{"city":195,"name":196,"note":1217,"level":197},"（上海 · 市级）：关节模组与灵巧手企业集聚，配套场景丰富","2026-10-12T14:28:51.598Z",[],{"id":1221,"chainId":4,"layer":1222,"segment":1223,"name":1223,"keyPoints":1224,"companies":1225,"sortOrder":1255,"isKey":1043,"checkState":918,"meta":1256,"createdAt":1278,"links":1279},"cnH_F05_05","支撑","机器人软件与仿真","机器人OS 具身智能仿真 运动控制",[1226,1229,1232,1235,1237,1239,1242,1245,1248,1250,1253],{"name":1227,"note":1228},"51WORLD","五一视界，数字孪生与仿真平台，港交所上市",{"name":1230,"note":1231},"松应科技","ORCA物理仿真平台",{"name":1233,"note":1234},"华为","盘古大模型与具身智能开发平台",{"name":1236,"note":660},"腾讯Robotics X实验室",{"name":715,"note":1238},"Isaac仿真平台与Jetson计算平台",{"name":1240,"note":1241},"Unity中国","实时3D引擎与机器人仿真",{"name":1243,"note":1244},"群核科技","空间智能与三维数据平台",{"name":1246,"note":1247},"光轮智能","合成数据与仿真训练",{"name":326,"note":1249},"西安，具身智能视觉软件与自主规划",{"name":1251,"note":1252},"西安知象光电科技有限公司","西安，3D视觉软件与扫描建模",{"name":1035,"note":1254},"西安，机器人控制软件与系统集成",4,{"source":55,"experts":1257,"policies":1262,"chainCode":26,"aggregationZones":1269},[1258,1259],{"org":70,"raw":394,"name":72,"note":197,"title":395},{"org":181,"raw":1260,"name":173,"note":197,"title":1261},"黄攀峰（西北工业大学），空间机器人自主控制与智能操作研究","空间机器人自主控制与智能操作研究",[1263,1266],{"raw":1264,"date":406,"name":407,"doc_no":197,"issuer":408,"summary":1265},"《关于深入实施“人工智能+”行动的意见》（国务院，2025-08）：推动人工智能与实体经济深度融合，支持智能机器人与仿真训练等基础能力建设","推动人工智能与实体经济深度融合，支持智能机器人与仿真训练等基础能力建设",{"raw":1267,"date":642,"name":643,"doc_no":197,"issuer":408,"summary":1268},"《制造业数字化转型行动方案》（国务院，2024-05）：推进人工智能赋能新型工业化，支持工业仿真软件与数字孪生发展","推进人工智能赋能新型工业化，支持工业仿真软件与数字孪生发展",[1270,1272,1274,1276],{"city":227,"name":228,"note":1271,"level":197},"（北京 · 国家级）：数字孪生与物理仿真平台企业集聚",{"city":195,"name":196,"note":1273,"level":197},"（上海 · 市级）：具身智能软件与仿真训练企业集聚",{"city":218,"name":219,"note":1275,"level":197},"（深圳 · 市级）：腾讯Robotics X等具身智能研发机构集聚",{"city":206,"name":207,"note":1277,"level":197},"具身智能机器人特色集群（杭州 · 国家级）：机器人操作系统与算法企业集聚","2026-10-12T14:28:51.603Z",[],{"id":1281,"chainId":4,"layer":1282,"segment":1283,"name":1283,"keyPoints":1284,"companies":1285,"sortOrder":38,"isKey":1043,"checkState":918,"meta":1330,"createdAt":1350,"links":1351},"cnH_F05_06","下游","行业应用","工业制造 家庭服务 特种作业 医疗康复",[1286,1288,1290,1292,1295,1298,1301,1304,1307,1310,1313,1316,1319,1321,1323,1325,1328],{"name":140,"note":1287},"工业制造、商用服务场景人形机器人应用",{"name":134,"note":1289},"电力巡检、消防应急等特种场景",{"name":1011,"note":1291},"工业机器人与智能制造系统集成",{"name":1293,"note":1294},"亿嘉和","电力巡检与特种作业机器人",{"name":1296,"note":1297},"中联重科","人形机器人研发与工程机械场景协同",{"name":1299,"note":1300},"极飞科技","农业无人系统与农业机器人",{"name":1302,"note":1303},"蔚来","新能源车企，工厂具身智能应用",{"name":1305,"note":1306},"美团","无人配送与具身智能场景运营",{"name":1308,"note":1309},"京东物流","仓储与配送机器人应用",{"name":1311,"note":1312},"云迹科技","酒店服务机器人",{"name":1314,"note":1315},"普渡科技","配送服务机器人",{"name":1317,"note":1318},"擎朗智能","餐饮等服务机器人",{"name":326,"note":1320},"西安，智能焊接机器人应用于船舶、桥梁钢构等",{"name":454,"note":1322},"咸阳，工业视觉与物流机器人应用",{"name":1041,"note":1324},"西安，水面清洁与环保机器人应用",{"name":1326,"note":1327},"中铁长安重工有限公司","西安阎良，隧道施工机器人化装备应用",{"name":1038,"note":1329},"西安，特种与工业场景机器人应用",{"source":55,"experts":1331,"policies":1332,"chainCode":26,"aggregationZones":1339},[],[1333,1336],{"raw":1334,"date":770,"name":771,"doc_no":197,"issuer":772,"summary":1335},"《2026年度人形机器人与具身智能实景实训专项行动》（工业和信息化部办公厅、国务院国有资产监督管理委员会办公厅，2026-06）：组织产品在真实场景开展实景实训，推动具身智能在工业等场景落地","组织产品在真实场景开展实景实训，推动具身智能在工业等场景落地",{"raw":1337,"date":334,"name":335,"doc_no":197,"issuer":336,"summary":1338},"《“机器人+”应用行动实施方案》（工业和信息化部等十七部门，2023-01）：推动机器人在制造、服务、特种等领域规模化应用","推动机器人在制造、服务、特种等领域规模化应用",[1340,1342,1344,1346,1348],{"city":221,"name":222,"note":1341,"level":201},"万台机器人创新应用计划，标杆场景开放",{"city":212,"name":213,"note":1343,"level":197},"（芜湖 · 国家级）：工业与特种场景机器人集成应用集聚",{"city":224,"name":225,"note":1345,"level":197},"（沈阳 · 国家级）：工业机器人与智能制造系统集成应用集聚",{"city":218,"name":219,"note":1347,"level":197},"（深圳 · 市级）：商用服务与工业场景整机企业集聚",{"city":195,"name":196,"note":1349,"level":197},"（上海 · 市级）：汽车制造等实景实训场景应用集聚","2026-10-12T14:28:51.607Z",[],{"id":1353,"chainId":4,"layer":925,"segment":1354,"name":1354,"keyPoints":1355,"companies":1356,"sortOrder":1383,"isKey":1043,"checkState":918,"meta":1384,"createdAt":1406,"links":1407},"cnH_F05_07","减速器\u002F伺服\u002F执行器\u002F电机","谐波\u002FRV减速器、行星滚柱丝杠、无框\u002F伺服电机、机电执行器、灵巧手等核心传动与动力部件。",[1357,1359,1361,1362,1363,1364,1365,1366,1368,1370,1372,1373,1375,1377,1379,1381],{"name":929,"note":1358},"谐波减速器",{"name":507,"note":1360},"RV减速器\u002F精密齿轮",{"name":510,"note":947},{"name":518,"note":1358},{"name":595,"note":1169},{"name":513,"note":514},{"name":527,"note":528},{"name":1367,"note":1358},"中技克美",{"name":365,"note":1369},"线性执行器",{"name":1183,"note":1371},"伺服驱动与电机控制",{"name":591,"note":592},{"name":383,"note":1374},"宝鸡，RV减速器六大系列全谱系产品",{"name":540,"note":1376},"西安，伺服电机与微特电机研制",{"name":607,"note":1378},"西安，空心杯电机与执行器电机",{"name":612,"note":1380},"西安，伺服驱动与编码器芯片",{"name":317,"note":1382},"宝鸡，传感器与执行器配套",6,{"source":55,"experts":1385,"policies":1386,"chainCode":26,"aggregationZones":1393},[],[1387,1390],{"raw":1388,"date":197,"name":277,"doc_no":197,"issuer":278,"summary":1389},"《人形机器人与具身智能标准体系（2026版）》（工业和信息化部（人形机器人与具身智能标准化技术委员会），2026-02）：标准体系覆盖减速器、伺服、执行器、电机等核心部件方向","标准体系覆盖减速器、伺服、执行器、电机等核心部件方向",{"raw":1391,"date":249,"name":805,"doc_no":197,"issuer":252,"summary":1392},"《人形机器人创新发展指导意见》（工业和信息化部，2023-11）：提出夯实减速器、伺服电机等关键部组件基础","提出夯实减速器、伺服电机等关键部组件基础",[1394,1396,1398,1400,1402,1404],{"city":191,"name":233,"note":1395,"level":201},"以秦川高精传动RV减速器为核心的机器人关键部件配套区",{"city":203,"name":204,"note":1397,"level":197},"（苏州 · 省级）：绿的谐波、汇川技术等减速器与伺服企业集聚",{"city":199,"name":200,"note":1399,"level":201},"减速器、伺服与执行部件配套完整",{"city":235,"name":236,"note":1401,"level":237},"双环传动（环动科技）等RV减速器与精密齿轮",{"city":209,"name":239,"note":1403,"level":237},"中大力德等减速器、智能执行单元企业集聚",{"city":218,"name":219,"note":1405,"level":197},"（深圳 · 市级）：雷赛智能等运动控制与伺服企业集聚","2026-10-12T14:28:51.613Z",[],{"id":1409,"chainId":4,"layer":925,"segment":1410,"name":1410,"keyPoints":1411,"companies":1412,"sortOrder":1448,"isKey":1043,"checkState":918,"meta":1449,"createdAt":1470,"links":1471},"cnH_F05_08","传感器(3D视觉\u002F力觉)","机器人环境感知所需3D视觉、六维力传感器、IMU等。",[1413,1415,1416,1418,1420,1421,1423,1426,1429,1432,1435,1437,1439,1441,1443,1446],{"name":1093,"note":1414},"3D视觉传感器",{"name":93,"note":294},{"name":290,"note":1417},"力觉传感器",{"name":293,"note":1419},"力传感器与检测设备",{"name":305,"note":306},{"name":302,"note":1422},"电子皮肤与触觉传感器",{"name":1424,"note":1425},"鑫精诚传感","力传感器与测控系统",{"name":1427,"note":1428},"图漾科技","3D工业相机",{"name":1430,"note":1431},"知象光电","3D视觉与高精度扫描",{"name":1433,"note":1434},"跨维智能","3D视觉与Sim2Real",{"name":308,"note":1436},"柔性触觉压力传感",{"name":317,"note":1438},"宝鸡，压力传感器与智能测控仪表",{"name":320,"note":1440},"西安，电子皮肤与触觉传感芯片",{"name":323,"note":1442},"宝鸡，惯性\u002F位移传感器研制",{"name":1444,"note":1445},"陕西凌云电器集团有限公司","宝鸡，导航与无线电传感器",{"name":326,"note":1447},"西安，智能视觉与精密测量传感",7,{"source":55,"experts":1450,"policies":1455,"chainCode":26,"aggregationZones":1459},[1451,1452],{"org":93,"raw":269,"name":95,"note":197,"title":270},{"org":166,"raw":1453,"name":178,"note":1454,"title":109},"蒋庄德（西安交通大学），中国工程院院士，精密测量与微纳传感研究","精密测量与微纳传感研究",[1456],{"raw":1457,"date":197,"name":277,"doc_no":197,"issuer":278,"summary":1458},"《人形机器人与具身智能标准体系（2026版）》（工业和信息化部（人形机器人与具身智能标准化技术委员会），2026-02）：标准体系覆盖3D视觉、力觉等智能感知部件标准方向","标准体系覆盖3D视觉、力觉等智能感知部件标准方向",[1460,1462,1464,1466,1468],{"city":191,"name":241,"note":1461,"level":237},"规划350亩、总投资约70亿元，打造压力传感器及智能传感器产业基地",{"city":218,"name":219,"note":1463,"level":197},"（深圳 · 市级）：奥比中光等3D视觉与触觉传感器企业集聚",{"city":199,"name":200,"note":1465,"level":201},"坤维传感等六维力传感器、3D视觉企业集聚",{"city":209,"name":243,"note":1467,"level":237},"柯力传感等力传感器与智能测控企业集聚",{"city":195,"name":196,"note":1469,"level":197},"（上海 · 市级）：具身智能感知与传感器企业集聚","2026-10-12T14:28:51.617Z",[],{"id":1473,"chainId":4,"layer":1282,"segment":1474,"name":1474,"keyPoints":1475,"companies":1476,"sortOrder":1511,"isKey":1043,"checkState":918,"meta":1512,"createdAt":1532,"links":1533},"cnH_F05_09","工业\u002F服务\u002F特种场景应用","汽车工厂搬运、商业服务、巡检\u002F救援等特种场景落地。",[1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1498,1501,1503,1505,1507,1509],{"name":140,"note":1478},"商用服务与工业场景",{"name":134,"note":1480},"巡检、应急救援等特种场景",{"name":1011,"note":1482},"工业与特种机器人",{"name":1293,"note":1484},"电力特种作业机器人",{"name":151,"note":1486},"服务与教育场景人形机器人",{"name":1299,"note":1488},"农业无人系统场景应用",{"name":1302,"note":1490},"工厂人形机器人应用探索",{"name":1305,"note":1492},"无人配送场景运营",{"name":666,"note":1494},"电力巡检等四足机器人",{"name":1496,"note":1497},"申昊科技","电力智能巡检机器人",{"name":1499,"note":1500},"史河机器人","船舶除锈等爬壁机器人",{"name":326,"note":1502},"西安，智能焊接与测量机器人批量应用",{"name":454,"note":1504},"咸阳，工业与物流机器人应用",{"name":1041,"note":1506},"西安，水面清洁机器人应用",{"name":1038,"note":1508},"西安，特种作业机器人应用",{"name":1035,"note":1510},"西安，工业机器人集成应用",8,{"source":55,"experts":1513,"policies":1514,"chainCode":26,"aggregationZones":1521},[],[1515,1518],{"raw":1516,"date":770,"name":771,"doc_no":197,"issuer":772,"summary":1517},"《2026年度人形机器人与具身智能实景实训专项行动》（工业和信息化部办公厅、国务院国有资产监督管理委员会办公厅，2026-06）：组织产品在真实场景开展实景实训，推动工业、服务、特种场景规模化应用","组织产品在真实场景开展实景实训，推动工业、服务、特种场景规模化应用",{"raw":1519,"date":334,"name":335,"doc_no":197,"issuer":336,"summary":1520},"《“机器人+”应用行动实施方案》（工业和信息化部等十七部门，2023-01）：推动机器人在制造、服务、特种等领域应用","推动机器人在制造、服务、特种等领域应用",[1522,1524,1526,1528,1530],{"city":221,"name":222,"note":1523,"level":201},"机器人大世界与中试产线，场景闭环应用",{"city":212,"name":213,"note":1525,"level":197},"（芜湖 · 国家级）：工业机器人集成应用与特种场景示范",{"city":224,"name":225,"note":1527,"level":197},"（沈阳 · 国家级）：工业与特种机器人应用企业集聚",{"city":245,"name":246,"note":1529,"level":201},"服务机器人与智能硬件场景应用集聚",{"city":195,"name":196,"note":1531,"level":197},"（上海 · 市级）：医疗、物流等实景应用场景集聚","2026-10-12T14:28:51.623Z",[],{"chainId":4,"chainName":5,"matchedTagNames":1535,"experts":1536,"achievements":1538,"topUniversities":1540,"note":1541},[],{"count":960,"items":1537},[],{"count":960,"items":1539},[],[],"无标签映射",{"hasMapping":261,"chainId":4,"industry":185,"industryCode":1543,"confidence":1544,"source":1545,"totals":1547,"segments":1554},"I05","high",{"source_text":1546,"source_url":251},"工信部指导、赛迪研究院《制造业数字化转型参考指引(2025版)》",{"scenarios":1548,"rated":1549,"tools":1550,"knowledgeModels":1551,"dataElements":1552,"talentSkills":1553},75,40,140,141,168,124,[1555,1885,1927,2317,2364],{"segment":1556,"segment_code":1557,"activity_group":1558,"scenarios":1559},"本体环节","B","供应链管理",[1560,1567,1574,1581,1588,1595,1615,1636,1643,1658,1674,1691,1728,1736,1743,1760,1779,1787,1795,1814,1834,1841,1848,1855,1878],{"scenario_code":1561,"scenario_name":1562,"rating":197,"pain_text":251,"tools":1563,"knowledge_models":1564,"data_elements":1565,"talent_skills":1566},"JB02-B-5-1","机器人客户关系管理与营销",[],[],[],[],{"scenario_code":1568,"scenario_name":1569,"rating":197,"pain_text":251,"tools":1570,"knowledge_models":1571,"data_elements":1572,"talent_skills":1573},"JB02-B-5-2","机器人客户关系管理",[],[],[],[],{"scenario_code":1575,"scenario_name":1576,"rating":197,"pain_text":251,"tools":1577,"knowledge_models":1578,"data_elements":1579,"talent_skills":1580},"JB02-B-5-3","机器人营销数字化管理增收增效机器人行业数字化转型场景图谱（2025版）（2\u002F2）A核心零部件环节B本体环节C集成应用环节",[],[],[],[],{"scenario_code":1582,"scenario_name":1583,"rating":197,"pain_text":251,"tools":1584,"knowledge_models":1585,"data_elements":1586,"talent_skills":1587},"JB02-B-5-4","机器人产品销售管理",[],[],[],[],{"scenario_code":1589,"scenario_name":1590,"rating":197,"pain_text":251,"tools":1591,"knowledge_models":1592,"data_elements":1593,"talent_skills":1594},"JB02-B-2-1","机器人生产计划和排程智能化管理",[],[],[],[],{"scenario_code":1596,"scenario_name":1597,"rating":1127,"pain_text":1598,"tools":1599,"knowledge_models":1601,"data_elements":1606,"talent_skills":1611},"JB02-B-2-2","机器人生产透明化管控","零部件生产状态反馈不及时，生产资源利用率低",[1600],"MES等软件，物联网等技术",[1602,1603,1604,1605],"资源调度","库存优化","瓶颈分析","进度预警等",[1607,1608,1609,1610],"生产进度","物料库存","设备参数","人员操作等数据",[1612,1613,1614],"机械","自动化","数据分析等",{"scenario_code":1616,"scenario_name":1617,"rating":1127,"pain_text":1618,"tools":1619,"knowledge_models":1626,"data_elements":1631,"talent_skills":1634},"JB02-B-2-3","机器人质量数字化管理与协同优化","质量数据不全，检测效率低，整体协同优化难度高；零部件质量追溯难，影响维修和质量分析",[1620,1621,1622,1623,1624,1625],"QMS","MES","检测测量工具","测试管理软件","质量追溯","质量协同优化软件",[1627,1628,1629,1630],"质量标准","质量溯源","质量检测","协同优化等模型",[1632,1633],"质量数据","机器人设计数据等",[1635,1614],"质量管理",{"scenario_code":1637,"scenario_name":1638,"rating":197,"pain_text":251,"tools":1639,"knowledge_models":1640,"data_elements":1641,"talent_skills":1642},"JB02-B-2-4","质量追溯管理",[],[],[],[],{"scenario_code":1644,"scenario_name":1645,"rating":1127,"pain_text":1646,"tools":1647,"knowledge_models":1649,"data_elements":1651,"talent_skills":1656},"JB02-B-2-5","机器人柔性产线","多品种小批量本体架构件加工换线时间长",[1648],"MES等软件",[1650],"调度优化等",[1652,1653,1654,1655],"工单","工艺路线","工艺定额","设备状态数据等",[1612,1613,1657],"数据分析",{"scenario_code":1659,"scenario_name":1660,"rating":1127,"pain_text":1661,"tools":1662,"knowledge_models":1666,"data_elements":1669,"talent_skills":1672},"JB02-B-2-6","机器人零部件装配支持","装配凭经验，精度不稳定",[1663,1664,1665],"辅助装配系统","MES软件","数字孪生技术等",[1667,1668],"引导定位","装配优化模型等",[1652,1670,1671],"装配工序","零部件等数据",[1612,1673],"自动化等",{"scenario_code":1675,"scenario_name":1676,"rating":1127,"pain_text":1677,"tools":1678,"knowledge_models":1681,"data_elements":1684,"talent_skills":1690},"JB02-B-2-7","机器人调试与检测的数智化管理","调试与检测效率低，调试检测经验缺乏积累",[1679,1680],"仿真与调试平台","精度检测与校准系统等",[1682,1683],"虚拟仿真","检测评估模型，可复用参数等",[1685,1686,1687,1688,1689],"本体","硬件","调试过程","检测评估数据","知识库等",[1612,1673],{"scenario_code":1692,"scenario_name":1693,"rating":1194,"pain_text":1694,"tools":1695,"knowledge_models":1706,"data_elements":1718,"talent_skills":1721},"JB02-B-1-1","机器人数字化研发与设计","研发效率低、成本高、产品设计质量提升难",[1696,1697,1698,1699,1700,1701,1702,1703,1704,1705],"CAD","CAE","机器人仿真软件","机器人操作系统","机器人控制与开发软件","EDA","机器视觉平台","AI开发平台","机器人开发平台","IDE等",[1707,1708,1709,1710,1711,1712,1713,1714,1715,1716,1717],"结构","电子电气","行为","动力学","路径规划","导航定位","机器视觉","场景","交互","机器人AI","作业模型等",[1707,1719,1720],"电控","软件等设计数据",[1612,1722,1723,388,1724,1725,1726,1727],"控制","电子","算法","仿真等，熟悉机器人安全等领域国家","行业强制","推荐标准",{"scenario_code":1729,"scenario_name":1730,"rating":1127,"pain_text":1731,"tools":1732,"knowledge_models":1733,"data_elements":1734,"talent_skills":1735},"JB02-B-1-2","机器人特定应用场景工艺包设计","感知、决策、执行智能化不足，自主和适应性弱",[],[],[],[],{"scenario_code":1737,"scenario_name":1738,"rating":197,"pain_text":251,"tools":1739,"knowledge_models":1740,"data_elements":1741,"talent_skills":1742},"JB02-B-1-3","机器人产品智能化服务设计",[],[],[],[],{"scenario_code":1744,"scenario_name":1745,"rating":1127,"pain_text":1746,"tools":1747,"knowledge_models":1749,"data_elements":1754,"talent_skills":1757},"JB02-B-1-4","机器人工作空间分析与验证","准确性差，验证成本高",[1696,1697,1748],"机器人离线编程软件等",[1750,1751,1752,1753],"运动学","D-H参数","空间几何","碰撞检测模型等",[1755,1756],"关节运动范围","连杆长度与尺寸等几何参数，机器人的位姿数据，工作空间内障碍物的位置与形状数据等",[1758,1759,1614],"运动学与动力学","三维建模",{"scenario_code":1761,"scenario_name":1762,"rating":1127,"pain_text":1763,"tools":1764,"knowledge_models":1768,"data_elements":1771,"talent_skills":1776},"JB02-B-1-5","机器人运动轨迹规划与优化","加工误差、工作效率低、机器人互相干涉影响",[1699,1765,1766,1767],"数学软件","机器人离线编程软件","AI开发平台等软件",[1750,1710,1769,1770],"路径规划算法","轨迹优化模型等",[1772,1773,1774,1775],"机器人运动学和动力学参数","环境地图数据","任务目标数据","传感器反馈数据等",[185,1777,1657,1778],"控制，编程语言，算法设计与优化","调试与故障排除",{"scenario_code":1780,"scenario_name":1781,"rating":1127,"pain_text":1782,"tools":1783,"knowledge_models":1784,"data_elements":1785,"talent_skills":1786},"JB02-B-1-6","复杂曲面加工轨迹规划","效率与精度冲突，复杂工况下路径规划不合理",[],[],[],[],{"scenario_code":1788,"scenario_name":1789,"rating":1194,"pain_text":1790,"tools":1791,"knowledge_models":1792,"data_elements":1793,"talent_skills":1794},"JB02-B-1-7","多轴联动轨迹优化","面向特定应用场景的工艺包积累、优化难",[],[],[],[],{"scenario_code":1796,"scenario_name":1797,"rating":1127,"pain_text":1798,"tools":1799,"knowledge_models":1800,"data_elements":1805,"talent_skills":1810},"JB02-B-1-8","机器人虚拟调试与优化","模拟和实际环境差异大、测试结果准确性低；加工方法计算复杂、加工精度低",[1698,1748],[1801,1802,1803,1804],"系统动力学","控制论","优化算法","故障诊断模型等",[1609,1806,1807,1808,1809,1775],"工艺参数","生产流程数据","物料信息","生产订单数据",[1811,1812,1657,1813],"自动化控制","系统仿真","建模与优化",{"scenario_code":1815,"scenario_name":1816,"rating":1127,"pain_text":1817,"tools":1818,"knowledge_models":1821,"data_elements":1825,"talent_skills":1830},"JB02-B-1-9","机器人产品研发过程数字化管理","标准与管理体系缺失，知识复用难、成功率低",[1819,1820],"PDM","PLM等",[1822,1823,1824],"产品模型","研发标准","项目规范等",[1826,1827,1828,1829],"产品设计","物料","BOM","研发项目等",[1612,1831,1832,1833],"机电","材料成型控制","软件等",{"scenario_code":1835,"scenario_name":1836,"rating":197,"pain_text":251,"tools":1837,"knowledge_models":1838,"data_elements":1839,"talent_skills":1840},"JB02-B-4-1","精益经营管理",[],[],[],[],{"scenario_code":1842,"scenario_name":1843,"rating":197,"pain_text":251,"tools":1844,"knowledge_models":1845,"data_elements":1846,"talent_skills":1847},"JB02-B-4-2","物料需求计划智能化计算",[],[],[],[],{"scenario_code":1849,"scenario_name":1850,"rating":197,"pain_text":251,"tools":1851,"knowledge_models":1852,"data_elements":1853,"talent_skills":1854},"JB02-B-4-3","数据驱动的管理决策优化",[],[],[],[],{"scenario_code":1856,"scenario_name":1857,"rating":1127,"pain_text":1858,"tools":1859,"knowledge_models":1865,"data_elements":1868,"talent_skills":1875},"JB02-B-4-4","智能仓储物流","零部件多，库存成本、场内物流成本高，齐套管理难",[1860,1861,1862,1863,1864,1648],"WMS","WCS等软件，AGV","立库等设备，标识","视觉识别","AI等技术，集成ERP",[1603,1711,1866,1867],"拣货优化","跨系统优化等",[1869,1870,1871,1872,1873,1874],"货物","库存","设备","库位","订单","作业等数据",[1876,1877,1614],"精益管理","财务",{"scenario_code":1879,"scenario_name":1880,"rating":197,"pain_text":251,"tools":1881,"knowledge_models":1882,"data_elements":1883,"talent_skills":1884},"JB02-B-3-1","机器人集成应用开发支持",[],[],[],[],{"segment":1886,"segment_code":1887,"activity_group":1888,"scenarios":1889},"本体环节、集成应用环节","BC","生产制造",[1890,1897,1904,1912,1920],{"scenario_code":1891,"scenario_name":1892,"rating":197,"pain_text":251,"tools":1893,"knowledge_models":1894,"data_elements":1895,"talent_skills":1896},"JB02-BC-2-1","机器人示教",[],[],[],[],{"scenario_code":1898,"scenario_name":1899,"rating":197,"pain_text":251,"tools":1900,"knowledge_models":1901,"data_elements":1902,"talent_skills":1903},"JB02-BC-4-1","业财一体化管理",[],[],[],[],{"scenario_code":1905,"scenario_name":1906,"rating":1194,"pain_text":1907,"tools":1908,"knowledge_models":1909,"data_elements":1910,"talent_skills":1911},"JB02-BC-4-2","产品定价决策支持","零部件、机器人本体企业间的订单、合同、交付等数据缺乏动态协同",[],[],[],[],{"scenario_code":1913,"scenario_name":1914,"rating":1127,"pain_text":1915,"tools":1916,"knowledge_models":1917,"data_elements":1918,"talent_skills":1919},"JB02-BC-4-3","定制化方案快速报价决策支持","基于多源数据制定有竞争力和利润空间的报价难",[],[],[],[],{"scenario_code":1921,"scenario_name":1922,"rating":197,"pain_text":251,"tools":1923,"knowledge_models":1924,"data_elements":1925,"talent_skills":1926},"JB02-BC-3-1","机器人智能售后服务",[],[],[],[],{"segment":1928,"segment_code":1929,"activity_group":1558,"scenarios":1930},"核心零部件环节","A",[1931,1938,1946,1953,1960,1967,1974,1982,1994,2013,2020,2027,2034,2042,2049,2068,2075,2083,2155,2163,2170,2177,2190,2197,2205,2260,2267,2273,2307],{"scenario_code":1932,"scenario_name":1933,"rating":197,"pain_text":251,"tools":1934,"knowledge_models":1935,"data_elements":1936,"talent_skills":1937},"JB02-A-5-1","零部件供应链优化",[],[],[],[],{"scenario_code":1939,"scenario_name":1940,"rating":1127,"pain_text":1941,"tools":1942,"knowledge_models":1943,"data_elements":1944,"talent_skills":1945},"JB02-A-5-2","原材料价格智能预测","型号、行业、区域等产品销售预测难，资源分配不合理",[],[],[],[],{"scenario_code":1947,"scenario_name":1948,"rating":197,"pain_text":251,"tools":1949,"knowledge_models":1950,"data_elements":1951,"talent_skills":1952},"JB02-A-5-3","零部件产品销售智能预测",[],[],[],[],{"scenario_code":1954,"scenario_name":1955,"rating":197,"pain_text":251,"tools":1956,"knowledge_models":1957,"data_elements":1958,"talent_skills":1959},"JB02-A-5-4","关键零部件弹性供给及优化",[],[],[],[],{"scenario_code":1961,"scenario_name":1962,"rating":197,"pain_text":251,"tools":1963,"knowledge_models":1964,"data_elements":1965,"talent_skills":1966},"JB02-A-2-1","零部件生产计划和排程智能化管理",[],[],[],[],{"scenario_code":1968,"scenario_name":1969,"rating":197,"pain_text":251,"tools":1970,"knowledge_models":1971,"data_elements":1972,"talent_skills":1973},"JB02-A-2-10","传感器智能化校准",[],[],[],[],{"scenario_code":1975,"scenario_name":1976,"rating":1127,"pain_text":1977,"tools":1978,"knowledge_models":1979,"data_elements":1980,"talent_skills":1981},"JB02-A-2-2","零部件生产透明化管控","零部件生产状态反馈不及时，生产资源利用率低；性能、成本、可靠性等平衡难，测试验证成本高",[1600],[1602,1603,1604,1605],[1607,1608,1609,1610],[1612,1613,1657],{"scenario_code":1983,"scenario_name":1984,"rating":1127,"pain_text":1985,"tools":1986,"knowledge_models":1990,"data_elements":1992,"talent_skills":1993},"JB02-A-2-3","零部件质量数字化管理与优化","质量数据不全面，检测效率低，问题难追溯，优化难",[1620,1987,1988,1989],"MES软件，AI质检","参数检测","校准等工具",[1627,1628,1991],"质量检测等模型",[1632],[1635,1657],{"scenario_code":1995,"scenario_name":1996,"rating":1127,"pain_text":1997,"tools":1998,"knowledge_models":2001,"data_elements":2005,"talent_skills":2010},"JB02-A-2-4","生产设备智能化监测管理","高价值、高精度零部件加工设备运维成本高、停机损失大、精度保持难，需优化设备维保和实时监测；质量一致性保持难",[1999,2000],"MES软件，物联网","AI等技术",[2002,2003,2004],"状态监测","预测\u002F预防性维护","故障诊断等模型",[2006,2007,2008,2009],"运行状态","参数","维保","故障等数据",[2011,2012],"数控","机械等技术",{"scenario_code":2014,"scenario_name":2015,"rating":197,"pain_text":251,"tools":2016,"knowledge_models":2017,"data_elements":2018,"talent_skills":2019},"JB02-A-2-5","精密零部件生产工艺智能优化",[],[],[],[],{"scenario_code":2021,"scenario_name":2022,"rating":197,"pain_text":251,"tools":2023,"knowledge_models":2024,"data_elements":2025,"talent_skills":2026},"JB02-A-2-6","加工处理动态自适应优化",[],[],[],[],{"scenario_code":2028,"scenario_name":2029,"rating":197,"pain_text":251,"tools":2030,"knowledge_models":2031,"data_elements":2032,"talent_skills":2033},"JB02-A-2-7","减速器智能化选配",[],[],[],[],{"scenario_code":2035,"scenario_name":2036,"rating":1127,"pain_text":2037,"tools":2038,"knowledge_models":2039,"data_elements":2040,"talent_skills":2041},"JB02-A-2-8","控制器SMT贴片与焊接优化","研发管理松散，缺乏统一的流程、文档、标准管理",[],[],[],[],{"scenario_code":2043,"scenario_name":2044,"rating":197,"pain_text":251,"tools":2045,"knowledge_models":2046,"data_elements":2047,"talent_skills":2048},"JB02-A-2-9","伺服电机自动化虚拟化装配",[],[],[],[],{"scenario_code":2050,"scenario_name":2051,"rating":1194,"pain_text":2052,"tools":2053,"knowledge_models":2058,"data_elements":2063,"talent_skills":2066},"JB02-A-1-1","零部件数字化研发与设计","精度保持、质量一致性设计等痛点问题；本体和零部件企业、集成应用和零部件企业、本体和集成应用企业间协同研发工作依赖线下方式，联合研发、协同设计效率低数字化协同研发机器人行业数字化转型场景图谱（2025版）（1\u002F2）A核心零部件环节B本体环节C集成应用环节增效提质；热加工、装配等工艺优化",[1696,1697,2054,1701,2055,2056,2057],"多体动力学软件","控制系统设计与仿真","传感器建模与仿真","数字孪生等",[2059,2060,2061,2062],"传动精度模型","矩模型","扭转刚性","运动控制模型等",[2064,2065],"产品精度","产品寿命等",[1612,1831,2067],"材料成型控制等",{"scenario_code":2069,"scenario_name":2070,"rating":197,"pain_text":251,"tools":2071,"knowledge_models":2072,"data_elements":2073,"talent_skills":2074},"JB02-A-1-10","零部件研发项目数字化管理",[],[],[],[],{"scenario_code":2076,"scenario_name":2077,"rating":1127,"pain_text":2078,"tools":2079,"knowledge_models":2080,"data_elements":2081,"talent_skills":2082},"JB02-A-1-2","减速器高精度加工装配工艺数字化设计","多道精密工序，消耗波动大，经验型定额难覆盖",[],[],[],[],{"scenario_code":2084,"scenario_name":2085,"rating":1127,"pain_text":2086,"tools":2087,"knowledge_models":2106,"data_elements":2126,"talent_skills":2145},"JB02-A-1-3","控制器可制造性设计","生产计划编制困难，产能资源浪费，交期不准确数字化协同制造；伺服电机批量化装配的一致性差、效率低；加工处理中精度保持、质量提升难，装配效率不高；机械加工、热处理、表面处理效率低、质量不稳定；生产计划编制困难，产能资源浪费，交期难保障；实施效率低，工艺精度差、工艺质量差，技术门槛高、培训成本高；多专业协同效率低，现场数据碎片化，数据孤岛；控制器量产前全流程数据评价、优化；研发设计周期长，需建立知识库并复用已有设计",[2088,1621,2089,1621,2090,2091,2092,2093,2094,2095,2096,2097,1621,2089,2098,2099,2100,2101,2102,2103,2104,2105],"MRP","APS等","CAM","SCADA","PLC","DNC","数字孪生","机器视觉检测","AI算法等","ERP","机器人示教编程软件","离线示教与仿真软件","3D视觉引导与增强现实示教工具","轨迹规划软件","机器人操作系统等","项目管理软件","文档协作工具","代码管理软件等",[2107,2108,2109,2110,2111,2112,2108,2113,2114,2115,2116,2117,2118,2119,2120,2121,2122,2123,2124,2125],"关键资源约束计划","物料需求计划","误差补偿","切削参数优化","选配优化等","关键资源约束","排产","物料齐套","运动控制","轨迹规划","区域规划","导航路径","工艺知识","作业效果预测与控制","质量评估","环境性能影响模型等","整合管理","变更控制","挣值管理等模型",[2127,1870,2128,2129,2130,1806,2131,2127,1870,2128,2129,2132,1806,2133,2134,1632,2135,2136,2137,2138,2139,2140,2141,2142,2143,2144],"销售","产能","生产数据等","设备状态","零部件参数等","设备数据","工件数据","运动轨迹","生产基础数据","耗材参数","环境数据","作业数据等","项目","方案","进度","供应链","资源","质量数据等",[1558,2011,1612,2146,2147,2148,2149,2150,185,1629,2151,2152,2153,2154],"AI等","供应链管理等","焊接","喷涂","打磨","数据分析处理","色彩理论知识等","集成技术","项目管理等",{"scenario_code":2156,"scenario_name":2157,"rating":1127,"pain_text":2158,"tools":2159,"knowledge_models":2160,"data_elements":2161,"talent_skills":2162},"JB02-A-1-4","伺服电机多物理场仿真与虚拟验证","传感器精度优化设计难度大",[],[],[],[],{"scenario_code":2164,"scenario_name":2165,"rating":197,"pain_text":251,"tools":2166,"knowledge_models":2167,"data_elements":2168,"talent_skills":2169},"JB02-A-1-5","传感器精度智能优化算法设计",[],[],[],[],{"scenario_code":2171,"scenario_name":2172,"rating":197,"pain_text":251,"tools":2173,"knowledge_models":2174,"data_elements":2175,"talent_skills":2176},"JB02-A-1-6","执行部件优化设计",[],[],[],[],{"scenario_code":2178,"scenario_name":2179,"rating":1127,"pain_text":2180,"tools":2181,"knowledge_models":2182,"data_elements":2185,"talent_skills":2189},"JB02-A-1-7","零部件研发过程数字化管理","研发标准与体系缺失，研发成功率低、规范性差",[1819,1820],[2183,1823,2184],"零部件模型","项目规范",[2186,2187,2188,1829],"零部件设计","工艺设计","物料BOM",[1612,1831,1832,1833],{"scenario_code":2191,"scenario_name":2192,"rating":197,"pain_text":251,"tools":2193,"knowledge_models":2194,"data_elements":2195,"talent_skills":2196},"JB02-A-1-8","工艺定额数字化管理",[],[],[],[],{"scenario_code":2198,"scenario_name":2199,"rating":1127,"pain_text":2200,"tools":2201,"knowledge_models":2202,"data_elements":2203,"talent_skills":2204},"JB02-A-1-9","零部件研发设计知识库管理","传感器校准效率低，影响产品质量；减速器批量化装配的配合间隙难控制、效率低n；生产计划编制与执行难，生产过程不透明，进度、质量、库存等数据割裂，对接难，不能及时同步",[],[],[],[],{"scenario_code":2206,"scenario_name":1836,"rating":1127,"pain_text":2207,"tools":2208,"knowledge_models":2220,"data_elements":2237,"talent_skills":2256},"JB02-A-4-1","缺乏端到端管理，决策缺乏数据支持，成本控制难；减速器等零部件的原材料占成本比例高，价格波动大，库存成本高；成本核算不准，管理不规范，企业盈利难；缺乏端到端管理，决策缺乏数据支持，敏捷响应难；销售-生产-供应链缺乏协同，缺料停产和库存挤压双重问题平衡难；成本核算不精细，按订单、按项目核算难，公司业务管控难，成本精细化控制难；缺乏企业经营全链条动态关键指标辅助经营决策；缺乏企业经营全链条动态关键指标辅助经营决策；原材料占成本比例高，部分零部件存在供应风险等；通用型号零部件产品，需预测销量，科学设置安全库存，平衡库存成本和交付；供应链上下游信息不透明、供应链成本控制难、供应链稳定性存在风险；产供销数据割裂，协同差，成本控制优化难；客户需求响应时效性差，老客户跟踪效率低，新客户市场拓展难；集成商、经销商、终端用户等客户响应速度慢、客户满意度提升难、复购促进难；集成实施任务涉及多领域，快速、低成本、高质量完成交付实施难，需联合合作伙伴并对协作过程进行跟踪管理；核心零部件的存在供给风险的零部件，易导致供应链风险，需优化供应商池和采购寻源，实现弹性供给；非标零部件小批量、定制化、时间紧，成本和进度控制难，需提升委外加工服务商比选效率、协同管理；新客户拓展难度大、成本高，销售过程跟踪缺乏数字化支持研、产、管、服数字化集成n；业务端到端流程未拉通，跨部门协作难，效率低研、产、管、服数字化集成n；业务端到端流程未拉通，跨部门协作难，效率低研、产、管、服数字化集成n；各环节均涉及上下游数据，集成同步难度大n；企业间异构系统对接、数据同步难度大，本体、集成应用企业向上游企业开放协同管理相关模块有限n；零部件企业数字化水平参差不齐，相关系统对接、数据同步难度大，本体、集成应用企业向上游企业开放的供应链协同相关模块有限",[2097,1860,1621,2209,2210,2211,2212,2097,2097,1860,1621,2209,2210,2211,2212,2213,2214,2215,2097,2216,2215,2217,2218,2215,2219],"OA","数据中台","BI工具等","财务管理","项目管理","ERP等软件","SRM","WMS等软件，采购平台，AI等技术","采购平台等软件，委外管理等模块","CRM等","集成实施任务派单工具",[2221,2222,2223,2224,2225,2221,2222,2226,2224,2225,2227,2228,2229,2230,2231,2232,2233,2234,2235,2236],"业务流模型","优化模型","预测模型等","财务核算模型","经营利润计算模型","预测模型","项目成本核算","需求预测","价格预测","库存优化等","供应商评价","采购需求","客户画像","营销策略模型等","合作伙伴能力评价","合作伙伴匹配模型等",[2127,2238,1870,2239,1877,2240,1873,2241,2242,2243,2244,2127,2238,1870,2239,1877,2240,1873,2139,2241,2242,2243,2244,2245,2246,2247,2248,2249,2250,2251,2252,2127,2253,2254,2255],"采购","生产","审批数据等","发票","资金","凭证","成本等","原材料需求","价格","库存数据等","供应商数据","采购数据","客户","需求","问题反馈","销售线索等数据","实施需求","合作伙伴数据等",[1876,1877,1614,2212,1833,1876,1877,1614,2212,1876,2213,1558,1657,1558,1657,2257,1614,2258,2259],"客户关系管理","集成管理","实施能力",{"scenario_code":2261,"scenario_name":2262,"rating":197,"pain_text":251,"tools":2263,"knowledge_models":2264,"data_elements":2265,"talent_skills":2266},"JB02-A-4-2","财务数字化管理",[],[],[],[],{"scenario_code":2268,"scenario_name":1850,"rating":197,"pain_text":251,"tools":2269,"knowledge_models":2270,"data_elements":2271,"talent_skills":2272},"JB02-A-4-3",[],[],[],[],{"scenario_code":2274,"scenario_name":2275,"rating":1127,"pain_text":2276,"tools":2277,"knowledge_models":2284,"data_elements":2294,"talent_skills":2303},"JB02-A-3-1","零部件售后服务数字化管理","售后服务缺乏数字化管理，缺乏向设计环节的反馈数字化协同服务；机器人集成应用开发技术门槛高、周期长、效率低；网点少，响应慢，无法跟踪机器人状态，故障诊断维修难度大、技术门槛高，运维成本高，产品故障缺乏向设计环节的反馈n；上下游售后服务依赖线下交互，故障响应慢、运维成本高、人员门槛高，且运维数据向设计环节的反馈缺乏数字化协同渠道",[2278,2279,1704,2102,2278,2280,2281,2282,2283],"CRM","售后服务软件工具等","机器人云平台","运维工单管理工具","OTA升级平台","备品备件管理工具",[2285,2286,2287,2288,2002,2289,2290,2291,2292,2293],"故障分析模型等","机器人工程模型","机器人集成知识","基础工艺模型等","预防性维护","预测性维护","故障诊断","版本管理","灰度发布等模型",[2295,2296,2297,2298,2299,2300,2301,2295,2302],"故障","零部件批次","维保数据等","开发文档","API接口文档","基础工艺数据集等","运行","维保数据，维保知识库，升级包等",[1657,2304,2305,2291,2306,1614],"软件集成","硬件集成等","设备维修",{"scenario_code":2308,"scenario_name":2309,"rating":1127,"pain_text":2310,"tools":2311,"knowledge_models":2313,"data_elements":2315,"talent_skills":2316},"JB02-A-3-2","远程运维","运维响应慢成本高，控制器、伺服电机、部分执行部件等具备远程运维条件",[2312],"远程运维平台等",[2002,2314,1804],"预防\u002F预测性维护",[2301,2295,2297],[1657,2306],{"segment":2318,"segment_code":2319,"activity_group":1558,"scenarios":2320},"核心零部件环节、本体环节","AB",[2321,2328,2335,2342,2350],{"scenario_code":2322,"scenario_name":2323,"rating":197,"pain_text":251,"tools":2324,"knowledge_models":2325,"data_elements":2326,"talent_skills":2327},"JB02-AB-5-1","机器人及零部件供应链数字化管理",[],[],[],[],{"scenario_code":2329,"scenario_name":2330,"rating":197,"pain_text":251,"tools":2331,"knowledge_models":2332,"data_elements":2333,"talent_skills":2334},"JB02-AB-5-2","产供销一体化管理",[],[],[],[],{"scenario_code":2336,"scenario_name":2337,"rating":197,"pain_text":251,"tools":2338,"knowledge_models":2339,"data_elements":2340,"talent_skills":2341},"JB02-AB-5-3","非标零部件委外加工管理",[],[],[],[],{"scenario_code":2343,"scenario_name":2344,"rating":1127,"pain_text":2345,"tools":2346,"knowledge_models":2347,"data_elements":2348,"talent_skills":2349},"JB02-AB-5-4","机器人及零部件企业供应链协同管理","减速器等零部件的上游原材料等占成本比例高，价格波动大，影响产品成本",[],[],[],[],{"scenario_code":2351,"scenario_name":2352,"rating":1194,"pain_text":2353,"tools":2354,"knowledge_models":2357,"data_elements":2359,"talent_skills":2362},"JB02-AB-1-2","零部件联合协同研发设计与优化","跨企业联合研发、协同研发效率低，缺乏规范化管理；多物理场仿真优化复杂",[2355,1696,2356],"云化PLM","CAE等软件",[2358,1708,1710,2062],"二维和三维结构",[2360,2187,2361],"零部件产品设计","BOM数据等",[1612,1722,1723,388,1724,2363],"仿真等",{"segment":2365,"segment_code":2366,"activity_group":1558,"scenarios":2367},"集成应用环节","C",[2368,2375,2388,2397,2404,2421,2433,2449,2474,2481,2494],{"scenario_code":2369,"scenario_name":2370,"rating":197,"pain_text":251,"tools":2371,"knowledge_models":2372,"data_elements":2373,"talent_skills":2374},"JB02-C-5-1","生态协同管理",[],[],[],[],{"scenario_code":2376,"scenario_name":2377,"rating":1127,"pain_text":2378,"tools":2379,"knowledge_models":2382,"data_elements":2384,"talent_skills":2387},"JB02-C-5-2","供应链敏捷管理","定制化、分散化、时间紧等特点，导致供应商寻源面临周期短、风险高等难点，需提升寻源、采购效率，提升敏捷性",[2215,2380,2381],"采购平台","智能寻源工具等",[2231,2383],"供应商匹配模型等",[2385,2386],"供应商能力","履约数据，需求数据等",[1558,1614],{"scenario_code":2389,"scenario_name":2390,"rating":1127,"pain_text":2391,"tools":2392,"knowledge_models":2393,"data_elements":2394,"talent_skills":2395},"JB02-C-5-3","集成应用客户关系管理与营销","客户需求响应时效性差，老客户跟踪效率低，新客户市场拓展难",[2218],[2233,2234],[2250,2251,2252,2127,2253],[2396,1657],"客户服务",{"scenario_code":2398,"scenario_name":2399,"rating":197,"pain_text":251,"tools":2400,"knowledge_models":2401,"data_elements":2402,"talent_skills":2403},"JB02-C-2-1","机器人集成应用项目实施数字化管理",[],[],[],[],{"scenario_code":2405,"scenario_name":2406,"rating":1127,"pain_text":2407,"tools":2408,"knowledge_models":2411,"data_elements":2414,"talent_skills":2419},"JB02-C-2-2","机器人集成调试数智化支持","安装调试技术门槛高、缺乏规范性、效率低",[2409,1679,2410],"数据采集工具","精度校准系统等",[2412,2413],"虚拟调试与仿真","检测评估模型等",[2415,2416,2417,2418],"工程模型","技术手册","现场数据","调试过程等",[1612,1613,2420],"集成技术等",{"scenario_code":2422,"scenario_name":2423,"rating":1127,"pain_text":2424,"tools":2425,"knowledge_models":2427,"data_elements":2429,"talent_skills":2432},"JB02-C-2-3","集成质量检测与管理增效降本数字化协同管理数字化供应链协同","集成质量检测不全面、效率低，数据分散，优化难",[1620,1622,1623,2426],"自动化测试框架等",[1627,1629,2428],"协同优化模型等",[1632,2430,2431],"检测过程数据","测试用例数据等",[1635,1614],{"scenario_code":2434,"scenario_name":2435,"rating":1194,"pain_text":2436,"tools":2437,"knowledge_models":2439,"data_elements":2441,"talent_skills":2445},"JB02-C-1-1","机器人集成数字化研发与设计","研发成本高、研发知识管理难",[2438,1698,1700,1703,1705],"设计资源库",[995,2440],"机器人集成模型等",[2442,2443,2444],"集成设计","代码","选型等数据",[2446,2447,2448],"集成结构设计","智能制造解决方案设计等，熟悉机器人集成应用领域国家","行业标准",{"scenario_code":2450,"scenario_name":2451,"rating":1194,"pain_text":2452,"tools":2453,"knowledge_models":2455,"data_elements":2461,"talent_skills":2469},"JB02-C-1-2","工业机器人集成环境分析设计与验证","干涉检测准确性差、布局设计难、协同效率低",[1696,1697,2454],"智能产线设计软件",[2456,1751,1752,2457,2458,2459,2460],"机器人运动学","碰撞检测","设施与物流","生产线平衡","布局优化模型等",[1755,2462,2463,2464,2465,2466,1609,2467,2468],"几何参数","位姿数据","障碍物数据","产品工艺路线","生产节拍","物料流量及搬运距离","厂房尺寸与空间数据等工作环境数据",[2470,1759,1657,2471,2472,2473],"机器人运动学与动力学","工业工程","空间规划","供应链与物流管理",{"scenario_code":2475,"scenario_name":2476,"rating":197,"pain_text":251,"tools":2477,"knowledge_models":2478,"data_elements":2479,"talent_skills":2480},"JB02-C-1-3","多机器人产线规划和工作站布局设计",[],[],[],[],{"scenario_code":2482,"scenario_name":2483,"rating":1127,"pain_text":2484,"tools":2485,"knowledge_models":2486,"data_elements":2491,"talent_skills":2493},"JB02-C-1-4","集成虚拟调试与优化","模拟和实际环境差异大、测试结果准确性低、集成测试成本高；干涉检测准确性差、设备利用率低、协同效率低",[1698,1748],[2487,2488,2489,2490],"系统动力学模型","控制理论模型","优化算法模型","故障诊断模型",[1609,1806,1807,1808,1809,2492],"传感器反馈数据等调试数据",[1811,1812,1657,1813],{"scenario_code":2495,"scenario_name":2496,"rating":1127,"pain_text":2497,"tools":2498,"knowledge_models":2500,"data_elements":2502,"talent_skills":2505},"JB02-C-4-2","仓储与配送数字化管理","库存结构复杂，多仓协同效率低，齐套性管理难，配送实效和成本平衡难；快速制定有竞争力和合理利润空间的报价难",[1860,2499,1648],"TMS等软件，对接ERP",[1603,2501],"路径规划模型等",[2503,2504],"零部件状态","实时配送等数据",[2506,2507,1614],"仓储管理","物流管理",[2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553],{"name":60,"id":2510},"cmv7rhpci00fjhikyfp68bnv0",{"name":66,"id":2512},"a54c8c6a-c15e-4a20-b6f5-46b433ea4946",{"name":72,"id":2514},"cmv7rhpcm00fohikyq4za2ugh",{"name":77,"id":2516},"cmv7rhpcr00fthiky6yq62t3m",{"name":83,"id":2518},"cmv7rhpcv00fyhiky3vosp09i",{"name":89,"id":2520},"03623b9a-425d-4436-819a-52fb19c8af56",{"name":95,"id":2522},"cmv7rhpd100g3hikywwrgfacp",{"name":101,"id":2524},"6e5231d7-c589-46f6-852c-92a758184eac",{"name":107,"id":2526},"cmv7rhpd700g8hikyu4jfe94t",{"name":113,"id":2528},"cmv7rhpdc00gdhikynx7v04r6",{"name":118,"id":2530},"e0e2f7a6-54d7-47ad-992b-b6fc8c19d49e",{"name":124,"id":2532},"9d470cd1-bb64-40f4-bbec-c46286a4eb40",{"name":130,"id":2534},"4dcdf7a6-d2e8-4ef0-8cca-05a3aaaee7de",{"name":136,"id":2536},"cmv7rhpdi00gihikyj3l1cxyt",{"name":142,"id":2538},"392f32ac-634c-42c3-a095-6fb0f1142763",{"name":147,"id":2540},"cmv7rhpdn00gnhikyr23txllc",{"name":153,"id":2542},"cmv7rhpds00gshiky8iosi3yd",{"name":158,"id":2544},"cmv7rhpdy00gxhiky1sykshtg",{"name":163,"id":2546},"cmv7rhpe200h2hikyk3awr7mu",{"name":168,"id":2548},"11c2103d-29ed-413d-9402-fb979346fe0e",{"name":173,"id":2550},"cmv7rhpcd00fehiky7r8s5k7i",{"name":178,"id":2552},"40f92260-3d54-4bab-98eb-4c8d4e7d778e",{"name":183,"id":2554},"cmv7rhpe900h7hikye95tjcb0"]