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LG to Release Nvidia-Powered Humanoid in 2027 LG将于2027年发布英伟达驱动的人形机器人

LG and Nvidia signed an MOU on Aug 14 to deepen partnership in physical AI across robotics, AI factories, and mobility deployments LG's next-gen bipedal humanoid robot will leverage Nvidia's Isaac GR00T open reasoning humanoid foundation model, Jetson Thor onboard computing platform, and Halos safety system A robot data factory will be developed using LG CNS' PhysicalWorks platform for data collection, synthetic data generation, training, and verification LG plans to deploy its CLOiD wheel-based LG与Nvidia签署合作备忘录,基于Nvidia Isaac GR00T开源人形机器人基础模型开发下一代双足人形机器人,计划明年发布 机器人将搭载Nvidia Jetson Thor平台进行机载计算、推理与控制,并集成Nvidia Halos安全系统 LG CNS的PhysicalWorks平台将用于构建机器人数据工厂,支持数据采集、合成数据生成、训练与验证全流程 LG计划今年晚些时候在田纳西州洗衣机生产线部署CLOiD轮式机器人,进行真实生产环境测试 双方还将合作开发AI工厂参考站点,使用Nvidia DSX平台推进物理AI基础设施布局

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Analysis 深度分析

TL;DR

  • LG and Nvidia signed an MOU on Aug 14 to deepen partnership in physical AI across robotics, AI factories, and mobility deployments
  • LG's next-gen bipedal humanoid robot will leverage Nvidia's Isaac GR00T open reasoning humanoid foundation model, Jetson Thor onboard computing platform, and Halos safety system
  • A robot data factory will be developed using LG CNS' PhysicalWorks platform for data collection, synthetic data generation, training, and verification
  • LG plans to deploy its CLOiD wheel-based robot at its Tennessee washing machine manufacturing line later in 2026 for live production testing
  • Nvidia's DSX platform will be used to develop AI factory reference sites as part of the expanded infrastructure partnership

Why It Matters

This partnership signals the accelerating convergence of large-scale AI foundation models with physical robotics, moving humanoid robots from research labs toward commercial manufacturing deployment. For AI practitioners, it demonstrates how open foundation models like GR00T are becoming the standard stack for building real-world robotic systems, while the integration of safety frameworks like Halos highlights the growing importance of safe human-robot collaboration in industrial settings.

Technical Details

  • Isaac GR00T: Nvidia's open reasoning humanoid foundation model serves as the core intelligence for LG's next-generation bipedal robot, enabling real-world understanding, reasoning, and safe physical interaction
  • Jetson Thor platform: Provides onboard computing, reasoning, and control capabilities for the humanoid robot, representing Nvidia's latest edge AI hardware for robotics
  • Nvidia Halos: A safety system for robotics that will be integrated into LG's humanoid, enabling safe operation alongside humans in shared environments
  • PhysicalWorks platform: LG CNS' platform designed to support the full physical AI pipeline including data collection, synthetic data generation, model training, and verification
  • CLOiD wheel-based robot: Currently being deployed at LG's Tennessee washing machine manufacturing line for live production environment testing before potential expansion to other sites
  • Nvidia DSX platform: Will be used to develop AI factory reference sites, establishing standardized infrastructure for physical AI deployment

Industry Insight

  • The LG-Nvidia partnership exemplifies the "foundation model + robotics" playbook that will likely become the dominant architecture for humanoid robots, suggesting practitioners should prioritize integrating open reasoning models with robust safety systems rather than building isolated robotic controllers
  • The planned Tennessee deployment of CLOiD in a real manufacturing line highlights the industry shift from lab demonstrations to production-grade validation, indicating that companies investing in live-environment testing will gain critical advantages in reliability and scalability
  • The emphasis on AI factory reference sites via DSX suggests Nvidia is positioning itself as the full-stack provider for physical AI infrastructure, which could create lock-in effects for manufacturers adopting this ecosystem

TL;DR

  • LG与Nvidia签署合作备忘录,基于Nvidia Isaac GR00T开源人形机器人基础模型开发下一代双足人形机器人,计划明年发布
  • 机器人将搭载Nvidia Jetson Thor平台进行机载计算、推理与控制,并集成Nvidia Halos安全系统
  • LG CNS的PhysicalWorks平台将用于构建机器人数据工厂,支持数据采集、合成数据生成、训练与验证全流程
  • LG计划今年晚些时候在田纳西州洗衣机生产线部署CLOiD轮式机器人,进行真实生产环境测试
  • 双方还将合作开发AI工厂参考站点,使用Nvidia DSX平台推进物理AI基础设施布局

为什么值得看

LG作为全球消费电子巨头正式入局人形机器人赛道,与Nvidia的深度绑定标志着物理AI(Physical AI)从实验室走向工业量产的关键一步。对AI从业者而言,GR00T开源模型+Jetson Thor硬件的完整栈为机器人AI开发提供了可复用的参考架构,值得密切关注其技术路线与生态演进。

技术解析

  • Isaac GR00T基础模型:Nvidia开源的人形机器人推理基础模型,支持端到端的物理AI能力,使机器人具备理解真实世界、推理并与人安全协作的能力。这是Nvidia在机器人领域"基础模型化"战略的核心产品。
  • Jetson Thor机载计算平台:为下一代人形机器人提供 onboard 计算、推理与控制能力,代表Nvidia在边缘AI硬件上的最新布局,预计将支持更高算力和更低功耗的机器人实时决策。
  • PhysicalWorks数据工厂:LG CNS推出的物理AI数据平台,覆盖数据采集、合成数据生成、模型训练与验证全链路,解决机器人AI训练中的数据瓶颈问题,是物理AI落地的关键基础设施。
  • Nvidia Halos安全系统:专为机器人设计的安全框架,确保机器人在与人类共存的工厂、家庭等场景中安全运行,是商业化部署的必要条件。
  • CLOiD轮式机器人田纳西部署:LG先在真实制造场景验证轮式机器人,再扩展至双足人形机器人,体现了"先轮式后双足、先工厂后家庭"的渐进式落地策略。

行业启示

  • 物理AI成为大厂竞争新战场:Nvidia通过GR00T开源模型+完整硬件栈构建机器人AI生态,LG等传统硬件厂商加速入局,标志着AI竞争从纯软件层面向"软硬一体"的物理世界延伸。
  • 数据工厂是机器人商业化的关键基础设施:PhysicalWorks等平台解决了机器人训练数据稀缺的核心痛点,未来"机器人数据即服务"(Robot Data as a Service)可能成为新的商业模式。
  • 制造业是人形机器人最早落地的场景:LG选择在洗衣机生产线进行实地测试,印证了"工业场景优先"的机器人落地路径——结构化环境、明确ROI、安全可控,相比家庭场景更易实现商业化闭环。

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