国产大脑超越英伟达，鹿明机器人打赢产业具身关键一战

智东西06-25

机器人前瞻（公众号：robot_pro）作者 | 江宇编辑 | 漠影具身智能的产业角逐，本质是具身大脑的技术突围。作为大规模落地的核心瓶颈，“大脑” 能力直接决定技术能否从实验室走向产线。2026年上半年，国内具身智能领域融资额已超400亿元，其中超过一半的热钱涌入了“具身大脑”派。放眼全球，从美国的Physical Intelligence、Skild AI，到国内雨后春笋般涌现的具身大脑...

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AI，到国内雨后春笋般涌现的具身大脑创业公司，产业与资本正在用真金白银押注一个判断：谁能率先做出可量产、可泛化、可低成本部署的具身智能系统，谁就更接近产业落地的关键入口。但行业普遍忽略了一个关键事实：单靠“大脑”无法直接进入工厂。适配量产产线的具身智能，必须实现大脑、机器人本体、工业数据和场景工具链的全域协同。国内具身智能公司鹿明机器人选择的，正是这条以真实工业痛点为核心、以全栈能力支撑规模化落地的“产业具身”路线。外界对鹿明的关注，可能来自不同侧面：UMI数据采集、产业合作、机器人本体以及具身大脑等单一维度；但在鹿明自身的技术体系中，这些能力始终指向同一目标：围绕真实生产痛点，打通数据、模型、本体、场景工具链，构建可直接进入产业现场的具身智能基础设施。此次，鹿明机器人Lumos旗下旗舰级产业具身大脑Prime R0登顶MolmoSpaces，正是这条路径的一次关键验证与权威答卷。正如鹿明机器人创始人兼CEO喻超所说：“回归产业本质，让具身智能真干活，产生真价值。”围绕这一判断，鹿明正在通过Lumos NexCore全域产业具身大体系，推动具身智能从科研验证走向产业落地。一、零样本实测登顶，Prime R0拿下全球第一在MolmoSpaces最新榜单中，鹿明机器人产业具身大脑Prime R0，登顶全球权威零样本评测基准MolmoSpaces，拿下单臂精细操作、双臂协同操作全任务谱系综合成功率全球第一。MolmoSpaces由美国艾伦人工智能研究院AI2发起，是全球具身智能领域具有较高公信力的零样本评测基准。同场参与评测的阵容不容小觑，包括NVIDIA、MIT、普林斯顿大学等全球头部力量。这份榜单的含金量，首先来自评测机制本身。MolmoSpaces禁止模型在DROID平台评测集上进行微调或领域自适应，要求所有模型以零样本方式直接响应自然语言指令。同时，场景布局、机器人初始位姿、物体空间分布、相机参数等条件均被固定，并以平均成功率作为排名指标。在此次评测中，Prime R0需要面对约100个不同环境，覆盖室内、室外场景。抓取对象既包括杯子、盒子等常规物体，也包括水果、勺子、叉子、刀具等不同形态物体，同时考验视觉识别、夹取稳定性和动作泛化能力。▲搭载Lumos Touch机械臂+Prime R0：长时序自主流程规划，具备动态误差自校正能力，实现柔性织物自主规整对鹿明而言，Prime R0拿下全球第一，意义不只在于榜单成绩。MolmoSpaces提供了一套统一、可复现的零样本评测环境，Prime R0在其中的表现，验证了鹿明产业具身路线下模型能力的基本盘，也让其“产业具身”路线有了更清晰的技术坐标。二、从实验室走向产线，产业具身要先解决真实成本账机器人能不能落地，最终要回到工厂里的三笔账：算力账、节拍账和场景泛化账。当前，不少开源或大参数世界模型更适合实验室展示。一旦真正放到量产产线中，问题很快会暴露出来：算力成本高、响应速度慢、泛化适配弱。对制造业客户来说，模型参数有多大并不是最关键的问题，能否稳定完成任务、部署成本是否可控、换场景后的调试成本是否可接受，才是决定技术能否进厂的核心。这也是Prime R0与单纯“打榜模型”的不同之处。它是从真实工业生产痛点中长出来的模型能力。▲搭载Lumos Touch机械臂+Prime R0：依托少样本泛化能力，仅80组标注样本即可完成杂乱物料密闭空间规整作业先看算力账。行业主流大模型往往依赖A800等高端显卡部署，硬件门槛较高。Prime R0总参数约2.8B，可在消费级5060 8G显卡上稳定运行，更适合工厂边缘本地部署，降低了对云端大算力集群的依赖。再看节拍账。大参数量WAM模型单步推理可能达到5至6秒，难以适配流水线节拍。Prime R0强调毫秒级控制频率，面向连续作业，减少对产线节奏的拖累。最后是场景泛化账。工厂场景中，工件偏移、遮挡、堆叠、SKU变化、机械臂切换都很常见。传统方案往往需要重新训练或人工示教，而Prime R0强调对无序抓取、物料分拣、精密装配、双臂协同等任务的多任务适配能力。鹿明的产业具身路线，也已经在融资和产业合作中得到验证。此前，鹿明机器人连续完成A1及A2两轮融资，累计融资近10亿元。其中，A1轮由三菱电机领投，老股东普华资本、吴中金控等超额跟投；A2轮由三菱电机继续领投，恒生电子、海高集团、昆石投资等产业方跟投。在产业合作上，鹿明与三菱电机的合作是代表案例。双方在柔性质检场景共创的具身智能解决方案，已在三菱电机中国工厂投入试用。三菱电机还定义了质检、装配、分拣、搬运四大工业场景，并向鹿明开放场景合作。鹿明机器人从质检场景方案开始，推动机器人在上述工业场景陆续落地。除三菱电机外，鹿明还与中远海运、德马科技、广运集团等产业方展开深度合作。这些合作说明，鹿明的“产业具身”正在进入真实产业现场。三、从工业操作到通用场景，Prime R0补上物理预判这一环行业内两条主流技术路线都存在短板。纯VLA视觉语言动作模型更擅长理解指令和映射基础动作，但对物理运动趋势、长时序连续作业的稳定性支持不足；传统世界模型能够推演物理状态变化，但对自然语言意图的理解不够深。Prime R0的技术思路，是把世界模型的动态演化预判能力嵌入VLA语义决策框架，让模型在每一次实时动作决策中，自主生成物理行为后置演化趋势预判，实现“语义理解+行为执行+态势预判” 三位一体全域决策闭环。依托时序自适应动作生成、统一几何动作表征、轻量化隐式物理预判、MoE专家网络四大自研核心模块，Prime R0从根本上突破了“感知驱动动作”的旧范式。这听起来很技术，但落到工业现场，问题其实很具体。机器人在工厂里抓取物料时，物体可能会偏移、遮挡、堆叠；在双臂协同任务中，两只机械臂需要配合空间轨迹；在柔性物体规整中，布料、线缆等对象还会发生形变。这些任务都要求模型不能只看懂当前画面，还要判断动作执行后，物体和环境会如何变化。Prime R0要补上的，正是这部分物理预判能力。更重要的是，鹿明并不把工业场景视为能力边界。工业操作中的抓拿放、工具使用、物料整理、双臂协同，本质上也是商业服务、家庭服务和通用人形机器人需要掌握的基础操作能力。在喻超看来，“工业场景的许多问题，从最简单的抓拿放，到更为复杂的工具使用，后续一定可以向商业服务、家庭等更广阔的场景迁移。”四、从单一模型到NexCore体系，瞄准产业具身底座产业具身的长期竞争，最终要落到体系能力上。从鹿明目前的布局看，这套闭环已经逐渐成型。鹿明以Lumos NexCore全域产业具身大体系构建核心壁垒，形成全栈闭环能力。在本体层面，鹿明拥有多构型机器人快速搭建和规模化量产能力。在数据层面，鹿明率先布局数据基建，通过“无本体数采”技术，形成“数据-模型”的高效飞轮，提升模型泛化能力、加速算法快速迭代，让机器人快速习得工业级的通用技能，其希望通过“无本体数采”技术，绕过传统依赖物理本体采集数据的低效模式。在模型层面，鹿明Prime R0围绕算力成本、产线实时性、设备任务兼容性、量产稳定性多个工业核心痛点设计，全方位匹配真实产线生产需求，打造低算力成本、可实现毫秒级响应、可柔性适配多任务、多本体、能真正提升产线综合效率的产业具身大脑。正如喻超所言：“Lumos NexCore是一套面向产业具身的操作系统。Prime R0是它的第一个旗舰大脑，未来会持续迭代出更多模型，覆盖制造、物流等全场景，最终成为中国乃至全球工业机器人的标配底座。”结语：产业才是具身的真正考场Prime R0登顶MolmoSpaces榜单，给鹿明机器人带来了一次国际权威基准背书，也让“产业具身”从战略路线落地为可验证、可量化、可落地的硬核能力——它印证了鹿明在轻量化部署、实时响应、跨任务泛化与物理世界预判上的技术闭环，真正打通了具身大脑从实验室到工业现场的关键壁垒。随着Lumos NexCore体系和Prime R0持续迭代，鹿明不断下沉至产业最深处，让具身智能深度扎根制造现场、解决真实痛点。未来，产业具身能否成为制造业智能化升级的新基础设施，还要接受更多真实场景的检验。但至少这一次，Prime R0已经用一张全球榜单，先交出了一份有分量的答卷。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":false,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":1,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":1,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; 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